A single-nerve cell PID control method with optimization algorithm for coordinated system

Shiqiang Zheng; Xinzheng Wang; Yujie Han; Hui Yang

doi:10.1109/ICMA.2010.5589469

A single-nerve cell PID control method with optimization algorithm for coordinated system

Shiqiang Zheng^*
, Xinzheng Wang
, Yujie Han
, Hui Yang

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Northeast Forestry University
Beijing Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the coordinated control system of unit power plant, a single-nerve cell network combined with PID control method was presented. A modified mutative scale chaotic optimization algorithm was proposed for the use of tuning the weight parameters of neural network and PID parameters. The new control strategy not only retains the characteristics of the traditional PID, such as its simple structure and practicable control algorithm, etc, but also fits to control the nonlinear multivariate systems, and avoids a mass of tuning work in the progress of design. Simulation results show that the control strategy has a better decouple and disturbance rejection ability. The control quality of the coordinated system can be greatly increased.

Original language	English
Title of host publication	2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
Pages	1325-1329
Number of pages	5
DOIs	https://doi.org/10.1109/ICMA.2010.5589469
State	Published - 2010
Event	2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 - Xi'an, China Duration: 4 Aug 2010 → 7 Aug 2010

Publication series

Name	2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

Conference

Conference	2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
Country/Territory	China
City	Xi'an
Period	4/08/10 → 7/08/10

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10.1109/ICMA.2010.5589469

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Zheng, S., Wang, X., Han, Y., & Yang, H. (2010). A single-nerve cell PID control method with optimization algorithm for coordinated system. In 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 (pp. 1325-1329). Article 5589469 (2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010). https://doi.org/10.1109/ICMA.2010.5589469

@inproceedings{53d6768d9259468a8b5bbe7a37650646,

title = "A single-nerve cell PID control method with optimization algorithm for coordinated system",

abstract = "Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the coordinated control system of unit power plant, a single-nerve cell network combined with PID control method was presented. A modified mutative scale chaotic optimization algorithm was proposed for the use of tuning the weight parameters of neural network and PID parameters. The new control strategy not only retains the characteristics of the traditional PID, such as its simple structure and practicable control algorithm, etc, but also fits to control the nonlinear multivariate systems, and avoids a mass of tuning work in the progress of design. Simulation results show that the control strategy has a better decouple and disturbance rejection ability. The control quality of the coordinated system can be greatly increased.",

author = "Shiqiang Zheng and Xinzheng Wang and Yujie Han and Hui Yang",

year = "2010",

doi = "10.1109/ICMA.2010.5589469",

language = "英语",

isbn = "9781424451418",

series = "2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010",

pages = "1325--1329",

booktitle = "2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010",

note = "2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 ; Conference date: 04-08-2010 Through 07-08-2010",

}

Zheng, S, Wang, X, Han, Y & Yang, H 2010, A single-nerve cell PID control method with optimization algorithm for coordinated system. in 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010., 5589469, 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, pp. 1325-1329, 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, Xi'an, China, 4/08/10. https://doi.org/10.1109/ICMA.2010.5589469

A single-nerve cell PID control method with optimization algorithm for coordinated system. / Zheng, Shiqiang; Wang, Xinzheng; Han, Yujie et al.
2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010. 2010. p. 1325-1329 5589469 (2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A single-nerve cell PID control method with optimization algorithm for coordinated system

AU - Zheng, Shiqiang

AU - Wang, Xinzheng

AU - Han, Yujie

AU - Yang, Hui

PY - 2010

Y1 - 2010

N2 - Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the coordinated control system of unit power plant, a single-nerve cell network combined with PID control method was presented. A modified mutative scale chaotic optimization algorithm was proposed for the use of tuning the weight parameters of neural network and PID parameters. The new control strategy not only retains the characteristics of the traditional PID, such as its simple structure and practicable control algorithm, etc, but also fits to control the nonlinear multivariate systems, and avoids a mass of tuning work in the progress of design. Simulation results show that the control strategy has a better decouple and disturbance rejection ability. The control quality of the coordinated system can be greatly increased.

AB - Aiming at the characteristics such as multivariable, strong coupling, nonlinear and time-varying parameters for the coordinated control system of unit power plant, a single-nerve cell network combined with PID control method was presented. A modified mutative scale chaotic optimization algorithm was proposed for the use of tuning the weight parameters of neural network and PID parameters. The new control strategy not only retains the characteristics of the traditional PID, such as its simple structure and practicable control algorithm, etc, but also fits to control the nonlinear multivariate systems, and avoids a mass of tuning work in the progress of design. Simulation results show that the control strategy has a better decouple and disturbance rejection ability. The control quality of the coordinated system can be greatly increased.

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DO - 10.1109/ICMA.2010.5589469

M3 - 会议稿件

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SN - 9781424451418

T3 - 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

SP - 1325

EP - 1329

BT - 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

T2 - 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

Y2 - 4 August 2010 through 7 August 2010

ER -

A single-nerve cell PID control method with optimization algorithm for coordinated system

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