• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (22): 444-456.doi: 10.3901/JME.2023.22.444

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Design of Fitness Function for Intelligent Parameter Tuning of PID Controller on Belt Conveyor with PSO

JI Jianhua1,2,3, MIAO Changyun1,3, LI Xianguo3, LIU Yi1,3,4, JI Zhenghai5   

  1. 1. School of Mechanical Engineering, Tiangong University, Tianjin 300387;
    2. Department of Information Engineering, Tianjin Renai College, Tianjin 301636;
    3. Tianjin Photoelectric Detection Technology and System Key Laboratory, Tiangong University, Tianjin 300387;
    4. Center for Engineering Internship and Training, Tiangong University, Tianjin 300387;
    5. Wuhai Energy Co., Ltd., National Energy Group, Wuhai 016000
  • Received:2022-12-23 Revised:2023-02-20 Online:2023-11-20 Published:2024-02-19

Abstract: Belt conveyor is an important continuous transportation equipment in modern production. In order to improve its speed control performance and solve the problems of unreasonable average acceleration, large overshoot and oscillation in the speed regulation process, a variable weight comprehensive fitness function is designed. The fitness function consists of four parts:the part of integral absolute error(IAE) is responsible for optimizing the comprehensive control performance of the proportional-integral-derivative(PID) controller, the acceleration adjustment part to adjust the average acceleration on the premise of meeting the current design specification of the belt conveyor, the overshoot suppression part is used to realize the response speed of the controlled object without overshoot and oscillation; and the steady-state error suppression part is used to ensure that the steady-state error of the response speed of the controlled object is zero. The simulation results show that by using particle swarm optimization (PSO) algorithm intelligent tuning PID controller parameters based on variable weight comprehensive fitness function, the belt conveyor can realize smooth speed regulation, the average acceleration meets the belt conveyor design specification and is adjustable, the response speed is fast, there is no overshoot, oscillation and zero steady-state error. The damage to the belt conveyor is effectively reduced and the control performance is improved. The parameters of the fitness function are easy to obtain, the initial parameters of the PID controller can be set randomly, and the parameter setting process is simple and easy to implement, which is conducive to engineering application. The fitness function greatly improves the control performance of belt conveyor, and has certain theoretical significance and broad application value in coal, port, electric power, mining, metallurgy, chemical industry, agriculture and other fields.

Key words: belt conveyor, speed control, fitness function, proportional-integral-derivative controller, particle swarm optimization algorithm, intelligent tuning

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