Open AccessDesign of PI Controller for PMSM using Chaos Particle Swarm Optimization Algorithm
Author(s) -
Zuo Rui,
Xiang Xiong,
Chen Lianbo,
Guo Shifeng,
Yanhui Zhang,
Li Daoqi,
Wei Feng
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/717/1/012021
Subject(s) - pid controller , particle swarm optimization , control theory (sociology) , overshoot (microwave communication) , matlab , controller (irrigation) , computer science , permanent magnet synchronous motor , stability (learning theory) , control engineering , algorithm , magnet , engineering , control (management) , temperature control , machine learning , operating system , mechanical engineering , telecommunications , agronomy , artificial intelligence , biology
The proportional-integral-derivative (PID) controller parameters tuning is critical for improving the performance of permanent magnet synchronous motor (PMSM) systems. To improve the performance of particle swarm optimization (PSO) in the PID parameters tuning, the chaos particle swarm optimization (CPSO) is adopted to tune PI parameters in this work. The PMSM vector control system is selected as the research object, and its speed loop PI controller using CPSO algorithm is implemented. The optimal PI controller parameters are obtained using the CPSO algorithm with ten iterations. The simulation is conducted using MATLAB/Simulink to evaluate to the PI controller performance. Four performance indicators including overshoot, rise time, peak time and ITAE are used to evaluate the PI controller with CPSO, and the results suggest that the CPSO algorithm has better performance and stability compared with other tuning methods.