气动调节阀最优分数阶PID控制器设计

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Abstract Aiming at the problems of nonlinearity and inaccurate model in the valve position control of pneumatic control valve in industrial control process, a valve position control method based on Fractional Order PID controller is proposed. The working principle of pneumatic control valve is analyzed and its mathematical model is established. In order to improve the accuracy of the model, Aiming at the characteristics of wide rang and high complexity,an improved quantum particle swarm optimization (IQPSO) algorithm is proposed to tune the parameters of the Fractional Order PID controller. Chaos mapping and non-uniform Gauss mutation are introduced to enhance the optimization ability of the algorithm, which is used for model identification of the control system of the control valve. The simulation and experimental results clearly demonstrated that compared with the integer order PID controller, the designed Fractional Order PID controller has faster response speed and control accuracy, and can better meet the requirements of pneumatic control valve position control.
Key words：Pneumatic control valve; Fractional Order PID controller; Improved Quantum Particle Swarm Optimization algorithm; Parameters turning

Key words： Pneumatic control valve Fractional Order PID controller Improved Quantum Particle Swarm Optimization algorithm Parameters turning

Received: 14 July 2021 Published: 28 November 2022

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	Articles by authors
	ZHU Min
	ZANG Zhaoyu
	XU Zihao
	XIAO Yang

Cite this article:

ZHU Min,ZANG Zhaoyu,XU Zihao, et al. Design of the optimal fractional order PID controller for a pneumatic control valve[J]. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(22): 267-274.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2022/V41/I22/267

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