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Development and simulation of fuzzy adaptive PID control for time variant and invariant systems

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Abstract

With the modern computer technology development, power electronic technology, the motor control performance is getting better and better and the motor speed control technology is increasingly improved. The predictive control’s successful applications utilizing fuzzy models have for linear time-invariant systems. With the development of proportional–integral–derivative (PID) system, many efforts are required for linear time variant systems as well as time-invariant systems. The PID controller architecture is practical in nonlinear industrial processes and it is the main features of the classical PID controllers which avoid lengthy and fuzzy systems. In order to improve the dynamic and static performance of Brushless DC motor control system, this paper combines fuzzy control with PID control, designs a fuzzy adaptive PID control system, and builds a Matlab/Simulink system simulation platform. The results show that the fuzzy adaptive PID control proposed in this paper is much better than the traditional PID control, and its adjustment speed is 0.15 s, which is almost twice as fast as the traditional PID control. The proposed fuzzy adaptive PID has stronger robustness and adaptability than traditional PID. By adjusting the appropriate parameters, the system achieves ultra-fast start without overshoot. Through the analysis and comparison of the simulation results, it is obtained that the fuzzy adaptive PID has superior performance, fast system response and no overshoot.

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Authors and Affiliations

  1. University of Chinese Academy of Sciences, Beijing, 100049, China

    Xing Wang

  2. Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi, China

    Xing Wang

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  1. Xing Wang
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Wang, X. Development and simulation of fuzzy adaptive PID control for time variant and invariant systems. Int J Syst Assur Eng Manag (2021). https://doi.org/10.1007/s13198-021-01286-6

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  • DOI: https://doi.org/10.1007/s13198-021-01286-6

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