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Published on 29 May 2024
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Jiang,H. (2024). Overview and development of PID control. Applied and Computational Engineering,66,187-191.
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Overview and development of PID control

Haowen Jiang *,1,
  • 1 Heilongjiang University of Science and Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/66/20240946

Abstract

Proportional integral differential control, referred to as PID control, is one of the earliest developed control methods, which is widely used in industrial process control because of its simple control algorithm, high reliability and good robustness. The classic PID controller is the simplest control system, but the actual control object usually has the characteristics of strong interference, transient uncertainty, nonlinearity, etc, so it is difficult to achieve the ideal control effect with the classic PID controller. In addition, with complex parameter tuning methods, it is often difficult to find an optimal result for the parameters of the classical PID controller. These factors lead to the fact that classical PID control cannot be applied to complex systems and high-performance systems, so people continue to develop PID control methods, introduce new models, and develop fuzzy PID controllers, expert PID controllers, neural network PID controllers, and PID controllers based on genetic algorithms. This paper will review the development history of PID controllers, and introduce fuzzy PID controllers, expert PID controllers, neural network PID controllers, and PID controllers based on genetic algorithms. The research status and future development prospects of these controllers are also prospected.

Keywords

Classic PID controller, Fuzzy PID controller, Expert PID Controller, Neural network PID controller

[1]. Shi Chunning, Zhang Zhonghua, Wang Tao. Theoretical Analysis of PID Control [J]. Shanxi Architecture, 2012, 38 (03): 238-240.

[2]. Bennett S. The Past of PID Controllers [J]. Annual Reviews in Control 2001, 25: 43-53.

[3]. Yang Zhi, Zhu Haifeng, Huang Yihua. Review of PID controller design and parameter tuning methods [J]. Chemical Automation and Instrumentation, 2005, (05): 1-7.

[4]. Zhao Guoshan, Qiu Xingqi. Development of adaptive PID [J]. Chemical Automation and Instrumentation, 2006, (05): 1-5.

[5]. Zhao Baoming. Practice and Innovation of Intelligent Control System Engineering. Science and Technology Literature Press.2014.11.p.184.

[6]. Wu Xiaofan. Intelligent PID control [J]. Automation & Instrumentation, 2001, (04): 7-9.

[7]. Li Wen, Ou Qingli, Shen Hongyuan, et al. Survey of intelligent control and its application [J]. Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition), 2006, (03): 376-381.

[8]. Shen Yongfu,Wu Shaojun,Deng Fanglin. Survey of intelligent PID control [J]. Industrial Instrumentation and Automation, 2002, (06): 11-13+24.

[9]. An Ning, Qiu Weiwei. Survey of intelligent PID control [J]. Technology & Market, 2010, 17 (07): 5-6.

[10]. ZADEH L A.Fuzzy Sets [J].Information and Control 1965 3(8):338-353.

[11]. Shi Li, Chen Tiejun, Li Xiaoyuan et al. Theory and application of intelligent control [M].Beijing:Tsinghua University Press, 2009.

Cite this article

Jiang,H. (2024). Overview and development of PID control. Applied and Computational Engineering,66,187-191.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Functional Materials and Civil Engineering

Conference website: https://www.conffmce.org/
ISBN:978-1-83558-443-9(Print) / 978-1-83558-444-6(Online)
Conference date: 23 August 2024
Editor:Ömer Burak İSTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.66
ISSN:2755-2721(Print) / 2755-273X(Online)

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