CN103970077A - Integrated implementation method and device of advanced control technology in industrial control system - Google Patents

Integrated implementation method and device of advanced control technology in industrial control system Download PDF

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CN103970077A
CN103970077A CN201310035076.3A CN201310035076A CN103970077A CN 103970077 A CN103970077 A CN 103970077A CN 201310035076 A CN201310035076 A CN 201310035076A CN 103970077 A CN103970077 A CN 103970077A
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control
advanced
control system
configuration
industrial
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CN103970077B (en
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郑松
卢定兴
陈艺宾
张望
刘朝儒
林丽明
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Sap (Fujian) Technology Co. Ltd.
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FUDA AUTOMATION TECHNOLOGIES Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention provides an integrated implementation method of the advanced control technology in an industrial control system. The method comprises the steps of carrying out data modeling for solving the problems of operation of the advanced control technology in the control system; designing the structure of an advanced control configuration element and achieving the advanced control algorithm; based on the control application of the advanced control technology, constructing an advanced control strategy according to the feature of the advanced control configuration element in configuration software of the industrial control system; verifying the running conditions of all the design of the control system, and testing the change of system performance indexes before and after the advanced control technology is applied to the control system. The invention further provides an integrated implementation device of the advanced control technology in the industrial control system. According to the integrated implementation method and device of the advanced control technology in the industrial control system, the advanced control technology is integrated into the configuration software in the mode of the advanced control configuration element, the communication efficiency of the advanced control strategy and a control station is improved, and on-line running instantaneity of the advanced control strategy is greatly improved.

Description

Integrated implementation method and the device of Advanced Control Techniques in industrial control system
[technical field]
The present invention relates to process industry technical field of automatic control; Relate in particular to integrated implementation method and the device of a kind of Advanced Control Techniques in industrial control system.
[background technology]
In Continuous Industry system, disturb frequently because external environment changes, initial conditions variable is many, and have the degree of coupling high, time the feature such as change, the control object model of system often has unpredictability.And conventional control, as PID control method is difficult to the control effect that reaches desirable, even cannot reach the control requirement of Complex Industrial Systems.Adopt advanced control can overcome the conventional shortcoming of controlling, apply and properly can bring significant economic benefit to producer.Advanced Control Techniques (APC) is applied rapidly at present, and receives the concern of Theory of Automatic Control circle, becomes the focus of Theory of Automatic Control research.Advanced Control Techniques is made a general reference those and is different from traditional PID control method, utilizes Based Intelligent Control and optimal control scheduling theory, develops and comparatively difficulty, a baroque class control method of Project Realization.
Advanced Control Techniques has played very important effect to ensureing industrial control system operational efficiency, raising output, minimizing energy consumption.In industrial processes, due to many reasons such as working condition is changeable, the changes of product technology standard, often need constantly relevant control strategy in control system to be carried out to on-line optimization and renewal.But the collaborative debugging of existing Advanced Control Strategies and control system is very difficult, and the execution of strategy and renewal inefficiency, lot of challenges brought to commercial production.The main cause that produces this phenomenon is that current Advanced Control Techniques adopts stand alone software system mostly, and by OPC(OLE forProcess Control, for the OLE of process control, an industrial standard) mode and DCS(dcs) system carries out data communication, and advanced control algorithm and implementation thereof often present " black box " characteristic, this makes execution monitoring and the on-line debugging of user to advanced control algorithm very difficult, and effect is undesirable.In addition, because advanced control program is independent of DCS system, therefore need the computing machine that additional configuration performance is higher to move advanced control program; The communication efficiency of advanced control algorithm and DCS system is lower, cannot ensure the real-time that control strategy is carried out; Advanced control program often presents in the mode of compiling encapsulation, and therefore user cannot carry out necessary inline diagnosis and optimization in advanced control program implementation.
Present techniques is based on the deficiencies in the prior art, for the application of advanced control algorithm in industrial control system, integrated implementation method and the device of a kind of Advanced Control Techniques in industrial control system proposed, object is the renewal efficiency of the on-line debugging and the control strategy that effectively improve advanced control algorithm, thereby reduce the importing cost and risk of Advanced Control Techniques, for better technological accumulation and inheritance is created in the engineering application of modern control theory.
[summary of the invention]
One of the technical problem to be solved in the present invention, be to provide the integrated implementation method of a kind of Advanced Control Techniques in industrial control system, improve the communication efficiency of Advanced Control Strategies and control station, improve widely the real-time of Advanced Control Strategies on-line operation, and facilitated study and the on-line debugging of user to advanced control algorithm.
One of the technology of the present invention problem is achieved in that the integrated implementation method of a kind of Advanced Control Techniques in industrial control system, comprises the steps:
Step 1, the problem operating in a control system for Advanced Control Techniques are carried out data modeling;
The structure of step 2, advanced design control configuration element, realizes advanced control algorithm;
Step 3, in conjunction with the control application of Advanced Control Techniques, in industrial control system configuration software, control the feature structure Advanced Control Strategies of configuration element by advanced person;
Step 4, verify the ruuning situation of every design of described control system, test Advanced Control Techniques simultaneously and be applied in before and after this control system, the variation of control system performance index.
Two of the technical problem to be solved in the present invention, is to provide the integrated implementation device of Advanced Control Techniques in industrial control system; Improve the communication efficiency of Advanced Control Strategies and control station, improved widely the real-time of Advanced Control Strategies on-line operation.
Two of this technical matters is achieved in that the integrated implementation device of a kind of Advanced Control Techniques in industrial control system, described control station is used for carrying out Advanced Control Strategies, sends the request of control alternately and to controlled device with industrial control system configuration software, and this control station hardware is made up of PLC or IPC; Advanced Control Strategies is downloaded to control station and carries out from industrial control system configuration software, and the intermediate data that advanced person is controlled implementation by control station feeds back in the control strategy of industrial control system configuration software in time; The computation process that user can be in configuration software controls intermediate variable to advanced person is monitored and analytical calculation in real time.
Tool of the present invention has the following advantages: 1, the Advanced Control Strategies in the present invention can run directly in taking PLC in main control station, need not configure again high-end computer run independently Advanced Process Control Software carry out advanced control algorithm.2, the mode that in the present invention, Advanced Control Techniques is controlled configuration element with advanced person is integrated in configuration software, has improved the communication efficiency of Advanced Control Strategies and control station, has improved widely the real-time of Advanced Control Strategies on-line operation.3, in the present invention, computation process of the design parameter of Advanced Control Strategies, input and output and intermediate variable etc. can be monitored in patterned mode, has facilitated study and the on-line debugging of user to advanced control algorithm.4, the using method that in the present invention, advanced person controls and the conventional nothing difference in essence of controlling, user is easy to operate.
[brief description of the drawings]
Fig. 1 is method flow schematic diagram of the present invention.
Fig. 2 is the DRNN controller pid parameter of the present invention control system structural representation of adjusting.
Fig. 3 is NNI component structure design diagram of the present invention.
Fig. 4 is the way to manage schematic diagram of Fuzzy Neural PID control element of the present invention.
Fig. 5 is the structural representation of Advanced Control Techniques and industrial control system integrated apparatus in the present invention.
[embodiment]
Refer to shown in Fig. 1 to Fig. 5, the present invention is the integrated implementation method of a kind of Advanced Control Techniques in industrial control system, comprises the steps:
Step 1, the problem operating in a control system for Advanced Control Techniques are carried out data modeling; Be specially: the fundamental characteristics of analyzing mechanism He the applied control system of this Advanced Control Techniques of described Advanced Control Techniques, the common trait of the each several part structure by control system, decomposite and there is ubiquity and representational public module, complete the data modeling to control system;
In the present invention, described Advanced Control Techniques is Diagonal Recurrent Neural Network control, and control system is nerve network control system, analyzes the mechanism of described Diagonal Recurrent Neural Network control technology and the essential characteristic of nerve network control system; Described nerve network control system comprises DRNN controller and PID controller, data modeling is specially: the formula of deducing out according to the basic pid control algorithm of PID controller and the dynamic model of Diagonal Recurrent Neural Network, decompose the significant parameter that obtains nerve network control system, this significant parameter comprises susceptibility to input of control object output, gain coefficient, integral time coefficient, derivative time coefficient, by regulating these 4 kinds of parameters can realize the process that DRNN controller is adjusted to the pid parameter of PID controller;
The structure of step 2, advanced design control configuration element, realizes advanced control algorithm; Specifically comprise that step 20 is to step 23:
Step 20, according to the result of data modeling, the structure of Advanced Control Techniques element is resolved, obtain function and the basic composition of element;
Step 21, according to the technical limitation of the control station software of control system and the advanced factor of controlling configuration execution efficiency, determine optimum element granularity, described element granularity is to weigh element and calculate an index of scale; Less than normal if element granularity is selected, it is less that each element calculates scale, but annexation between element increases, and controls configuration editor difficulty and can strengthen thereupon, directly has influence on the execution efficiency of controlling configuration; If it is bigger than normal that element granularity is selected, may cause the storage unit off-capacity of control station, the real-time monitoring of critical data is difficult to reach requirement;
Fig. 2 is the DRNN controller pid parameter of the present invention control system structural representation of adjusting, the significant parameter obtaining according to data modeling, the design of control element can be divided into five kinds of NNC, NNI, KP, KI, KD, NNC, KP wherein, structure and the conventional controller indistinction of these four kinds of elements of KI, KD, and there is good reusability; Because the number of intermediate variable can affect configuration efficiency, when therefore NNI element design, need to be according to the difference of middle layer neuron number, determine the optimum granularity of NNI element; Fig. 3 is the schematic diagram of NNI component structure design, and NNI has four input ends, an output terminal.
Step 22, determine Advanced Control Techniques calculate ratio juris, realize advanced control algorithm by programming tool;
Step 23, control structure and the Advanced Control Techniques algorithm of configuration element according to advanced person, in industrial control system configuration software, realize the advanced configuration element of controlling;
Step 3, in conjunction with the control application of Advanced Control Techniques, in industrial control system configuration software, control the feature structure Advanced Control Strategies of configuration element by advanced person;
Step 4, verify the ruuning situation of every design of described control system, test Advanced Control Techniques simultaneously and be applied in before and after this control system, the variation of control system performance index; Described step 4 specifically comprises that step 40 is to step 41:
Step 40, the advanced ruuning situation of configuration element in industrial control system of controlling of checking, the Advanced Control Strategies that is about to build runs in the control station of control system, equipment or the mutual communication of its model of control strategy and working control application, monitor the real time data of advanced control procedure, thus the advanced data modeling of configuration element and the rationality of elementization design controlled of checking;
The technical feature of step 41, design to control system in industrial control system, configuration, operation is tested; The test of described technical feature comprises: whether the advanced calculated performance of controlling configuration element meets the requirement of real-time of control system; The comparison with the control effect to tradition control to the control effect of complex control process of advanced control configuration element; The advanced white box characteristic test of controlling configuration element, the reading and intervention analysis of element input/output argument; Adopt identical control object and parameter, the comparison of operation result when carrying out advanced control algorithm and carry out same algorithm in industrial control system in MATLAB science software for calculation.
In the present invention, the mode that described Advanced Control Techniques is controlled configuration element with advanced person is integrated in the configuration software of industrial control system, and the Management and usage of advanced control configuration element is consistent with conventional control element; The advanced configuration element of controlling adopts identical way to manage (as shown in Figure 4) with conventional control element, the using method of the two is consistent, all can carry out configuration and debugging, described identical way to manage refers to that the resource that advanced control configuration element uses in the configuration software of industrial control system with conventional control element is consistent, the data structure of two kinds of dissimilar elements is identical, and the two shared computational resource is consistent; The described advanced type of controlling configuration element comprises fuzzy control element, ANN (Artificial Neural Network) Control element, status predication control element; The type of described conventional control element comprises drawing element, input element, output element, basic calculation element, function generating device, boolean logic element and function control component, PID control element, high low level alarm element.
As shown in Figure 5, the integrated implementation device of a kind of Advanced Control Techniques of the present invention in industrial control system, described device comprises communication apparatus and the control station for the operation of industrial control system configuration software; The described communication apparatus for the operation of industrial control system configuration software is connected with described control station through communication network; In described industrial control system configuration software, be provided with an advanced configuration component module of controlling, this advanced person controls the functional module that configuration component module is used as configuration software; Described industrial control system configuration software and the advanced structure of configuration component module for Advanced Control Strategies of controlling; The advanced configuration component module of controlling is integrated in the component library of industrial control system configuration software, carries out unified management with conventional control element; User can be combined with advanced control element module by industrial control system configuration software with conventional control element, design the control strategy for working control application, and shows the corresponding curve of controlling.
Described control station is used for carrying out Advanced Control Strategies, sends the request of control alternately and to controlled device with industrial control system configuration software, and this control station hardware is made up of PLC or IPC; Advanced Control Strategies is downloaded to control station and carries out from industrial control system configuration software, and the intermediate data that advanced person is controlled implementation by control station feeds back in the control strategy of industrial control system configuration software in time; The computation process that user can be in configuration software controls intermediate variable to advanced person is monitored and analytical calculation in real time.
Wherein, the mode that described Advanced Control Techniques is controlled configuration component module with advanced person is integrated in the configuration software of industrial control system, and the Management and usage of advanced control configuration component module is consistent with conventional control element; The advanced configuration component module of controlling adopts identical way to manage with conventional control element, the using method of the two is consistent, all can carry out configuration and debugging, described identical way to manage refers to that the resource that advanced control configuration component module uses in the configuration software of industrial control system with conventional control element is consistent, the data structure of two kinds of dissimilar elements is identical, and the two shared computational resource is consistent; The described advanced type of controlling configuration component module comprises fuzzy control element, ANN (Artificial Neural Network) Control element, status predication control element; The type of described conventional control element comprises drawing element, input element, output element, basic calculation element, function generating device, boolean logic element and function control component, PID control element, high low level alarm element.
In a word, the invention provides integrated implementation method and the device of a kind of Advanced Control Techniques in industrial control system, the method and device have following advantage: the data structure of (1) advanced control algorithm is identical with conventional control algolithm, the two shared computational resource approaches, and the advanced computation process of controlling can be directly at PLC(programmable logic controller (PLC)), IPC(Industrial Personal Computer, personal industry computer) etc. process in control station, therefore need not configure separately more high-end computing machine and move advanced control algorithm; (2) advanced control algorithm is integrated in configuration software in the mode of advanced control element, can improve widely the real-time of Advanced Control Strategies on-line operation; (3) computation process of the design parameter of Advanced Control Strategies, input and output and intermediate variable etc. can be monitored in patterned mode, and to user, the study to advanced control algorithm and on-line debugging bring great convenience for this; (4) advanced control with tradition controlled and adopted unified configuration and management mode, and the resource that the two uses and using method thereof are without difference in essence, and user is easy to operate.
The foregoing is only preferred embodiment of the present invention, all equalizations of doing according to the present patent application the scope of the claims change and modify, and all should belong to covering scope of the present invention.

Claims (9)

1. the integrated implementation method of Advanced Control Techniques in industrial control system, is characterized in that, comprises the steps:
Step 1, the problem operating in a control system for Advanced Control Techniques are carried out data modeling;
The structure of step 2, advanced design control configuration element, realizes advanced control algorithm;
Step 3, in conjunction with the control application of Advanced Control Techniques, in industrial control system configuration software, control the feature structure Advanced Control Strategies of configuration element by advanced person;
Step 4, verify the ruuning situation of every design of described control system, test Advanced Control Techniques simultaneously and be applied in before and after this control system, the variation of control system performance index.
2. the integrated implementation method of Advanced Control Techniques according to claim 1 in industrial control system, it is characterized in that: described step 1 is specially: the fundamental characteristics of analyzing mechanism He the applied control system of this Advanced Control Techniques of described Advanced Control Techniques, the common trait of the each several part structure by control system, decomposite and there is ubiquity and representational public module, complete the data modeling to control system.
3. the integrated implementation method of Advanced Control Techniques according to claim 2 in industrial control system, it is characterized in that: described Advanced Control Techniques is Diagonal Recurrent Neural Network control, control system is nerve network control system, analyzes the mechanism of described Diagonal Recurrent Neural Network control technology and the essential characteristic of nerve network control system; Described nerve network control system comprises DRNN controller and PID controller, data modeling is specially: the formula of deducing out according to the basic pid control algorithm of PID controller and the dynamic model of Diagonal Recurrent Neural Network, decompose the significant parameter that obtains nerve network control system, this significant parameter comprises susceptibility to input of control object output, gain coefficient, integral time coefficient, derivative time coefficient, by regulating these 4 kinds of parameters can realize the process that DRNN controller is adjusted to the pid parameter of PID controller.
4. the integrated implementation method of Advanced Control Techniques according to claim 1 in industrial control system, is characterized in that: described step 2 specifically comprises:
Step 20, according to the result of data modeling, the structure of Advanced Control Techniques element is resolved, obtain the basic composition of element;
Step 21, according to the technical limitation of the control station software of control system and the advanced factor of controlling configuration execution efficiency, determine optimum element granularity, described element granularity is to weigh element and calculate an index of scale;
Step 22, determine Advanced Control Techniques calculate ratio juris, realize advanced control algorithm by programming tool;
Step 23, control structure and the Advanced Control Techniques algorithm of configuration element according to advanced person, in industrial control system configuration software, realize the advanced configuration element of controlling.
5. the integrated implementation method of Advanced Control Techniques according to claim 1 in industrial control system, is characterized in that: described step 4 specifically comprises:
Step 40, the advanced ruuning situation of configuration element in industrial control system of controlling of checking, the Advanced Control Strategies that is about to build runs in the control station of control system, equipment or the mutual communication of its model of control strategy and working control application, monitor the real time data of advanced control procedure, thus the advanced data modeling of configuration element and the rationality of elementization design controlled of checking;
The technical feature of step 41, design to control system in industrial control system, configuration, operation is tested; The test of described technical feature comprises: whether the advanced calculated performance of controlling configuration element meets the requirement of real-time of control system; The comparison with the control effect to tradition control to the control effect of complex control process of advanced control configuration element; The advanced white box characteristic test of controlling configuration element, the reading and intervention analysis of element input/output argument; Adopt identical control object and parameter, the comparison of operation result when carrying out advanced control algorithm and carry out same algorithm in industrial control system in MATLAB science software for calculation.
6. the integrated implementation method of Advanced Control Techniques according to claim 1 in industrial control system, it is characterized in that: the mode that described Advanced Control Techniques is controlled configuration element with advanced person is integrated in the configuration software of industrial control system, the Management and usage of advanced control configuration element is consistent with conventional control element; The advanced configuration element of controlling adopts identical way to manage with conventional control element, the using method of the two is consistent, all can carry out configuration and debugging, described identical way to manage refers to that the resource that advanced control configuration element uses in the configuration software of industrial control system with conventional control element is consistent, the data structure of two kinds of dissimilar elements is identical, and the two shared computational resource is consistent; The described advanced type of controlling configuration element comprises fuzzy control element, ANN (Artificial Neural Network) Control element, status predication control element; The type of described conventional control element comprises drawing element, input element, output element, basic calculation element, function generating device, boolean logic element and function control component, PID control element, high low level alarm element.
7. the integrated implementation device of Advanced Control Techniques in industrial control system, is characterized in that: described device comprises communication apparatus and the control station for the operation of industrial control system configuration software; The described communication apparatus for the operation of industrial control system configuration software is connected with described control station through communication network; In described industrial control system configuration software, be provided with an advanced configuration component module of controlling, described industrial control system configuration software and the advanced structure of configuration component module for Advanced Control Strategies of controlling; The advanced configuration component module of controlling is integrated in the component library of industrial control system configuration software, carries out unified management with conventional control element; User can be combined with advanced control element module by industrial control system configuration software with conventional control element, design the control strategy for working control application, and shows the corresponding curve of controlling.
8. the integrated implementation device of a kind of Advanced Control Techniques according to claim 7 in industrial control system, it is characterized in that: described control station is used for carrying out Advanced Control Strategies, sends the request of control alternately and to controlled device with industrial control system configuration software, and this control station hardware is made up of PLC or IPC; Advanced Control Strategies is downloaded to control station and carries out from industrial control system configuration software, and the intermediate data that advanced person is controlled implementation by control station feeds back in the control strategy of industrial control system configuration software in time; The computation process that user can be in configuration software controls intermediate variable to advanced person is monitored and analytical calculation in real time.
9. the integrated implementation device of a kind of Advanced Control Techniques according to claim 7 in industrial control system, it is characterized in that: the mode that described Advanced Control Techniques is controlled configuration component module with advanced person is integrated in the configuration software of industrial control system, the Management and usage of advanced control configuration component module is consistent with conventional control element; The advanced configuration component module of controlling adopts identical way to manage with conventional control element, the using method of the two is consistent, all can carry out configuration and debugging, described identical way to manage refers to that the resource that advanced control configuration component module uses in the configuration software of industrial control system with conventional control element is consistent, the data structure of two kinds of dissimilar elements is identical, and the two shared computational resource is consistent; The described advanced type of controlling configuration component module comprises fuzzy control element, ANN (Artificial Neural Network) Control element, status predication control element; The type of described conventional control element comprises drawing element, input element, output element, basic calculation element, function generating device, boolean logic element and function control component, PID control element, high low level alarm element.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104122878A (en) * 2014-08-13 2014-10-29 黑龙江省科学院自动化研究所 Industrial energy conservation and emission reduction control device and method
CN106354015A (en) * 2016-10-27 2017-01-25 福州大学 Remote monitoring and online debugging method of diagonal recurrent neural network control system
CN107367968A (en) * 2017-08-03 2017-11-21 爱普(福建)科技有限公司 The execution method and computer-readable medium of a kind of configuration element
CN112099444A (en) * 2020-08-14 2020-12-18 中铝智能科技发展有限公司 High-reliability process industrial advanced controller cluster management method
CN112800598A (en) * 2021-01-15 2021-05-14 曲阜师范大学 Method, system and processing terminal for integrating advanced control strategy on MCGS (Multi-core Multi-System gateway)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108415379A (en) * 2018-01-26 2018-08-17 爱普(福建)科技有限公司 A kind of Distributed Control System and method of polyisocyanate structure control station

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5586221A (en) * 1994-07-01 1996-12-17 Syracuse University Predictive control of rolling mills using neural network gauge estimation
CN1648801A (en) * 2005-02-03 2005-08-03 浙江大学 Method for setting robust PID controller parameter using nervous network
CN201343671Y (en) * 2008-12-22 2009-11-11 华南理工大学 Advanced process control system for pulp bleaching
CN102411308A (en) * 2011-12-24 2012-04-11 北京工业大学 Adaptive control method of dissolved oxygen (DO) based on recurrent neural network (RNN) model

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5586221A (en) * 1994-07-01 1996-12-17 Syracuse University Predictive control of rolling mills using neural network gauge estimation
CN1648801A (en) * 2005-02-03 2005-08-03 浙江大学 Method for setting robust PID controller parameter using nervous network
CN201343671Y (en) * 2008-12-22 2009-11-11 华南理工大学 Advanced process control system for pulp bleaching
CN102411308A (en) * 2011-12-24 2012-04-11 北京工业大学 Adaptive control method of dissolved oxygen (DO) based on recurrent neural network (RNN) model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈冲: "基于神经网络控制的两电机同步调试系统", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104122878A (en) * 2014-08-13 2014-10-29 黑龙江省科学院自动化研究所 Industrial energy conservation and emission reduction control device and method
CN104122878B (en) * 2014-08-13 2017-12-22 黑龙江省科学院自动化研究所 The control method of industrial energy saving emission reduction control device
CN106354015A (en) * 2016-10-27 2017-01-25 福州大学 Remote monitoring and online debugging method of diagonal recurrent neural network control system
CN106354015B (en) * 2016-10-27 2019-06-07 福州大学 Long-range monitoring and the on-line debugging method of Diagonal Recurrent Neural Network control system
CN107367968A (en) * 2017-08-03 2017-11-21 爱普(福建)科技有限公司 The execution method and computer-readable medium of a kind of configuration element
CN107367968B (en) * 2017-08-03 2019-08-09 爱普(福建)科技有限公司 A kind of the execution method and computer-readable medium of configuration element
CN112099444A (en) * 2020-08-14 2020-12-18 中铝智能科技发展有限公司 High-reliability process industrial advanced controller cluster management method
CN112099444B (en) * 2020-08-14 2024-03-01 中铝智能科技发展有限公司 Cluster management method for high-reliability process industrial advanced controller
CN112800598A (en) * 2021-01-15 2021-05-14 曲阜师范大学 Method, system and processing terminal for integrating advanced control strategy on MCGS (Multi-core Multi-System gateway)

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