Fuzzy PID control algorithm based on PSO and application in BLDC motor

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Lin, Sen^1 ; Wang, Guanglong^1

Nanotechnology and Microsystems Laboratory, College of Mechanical Engineering, Shijiazhuang

050003, China^1

关键词: Anti-jamming capability;    Brushless dc (BLDC) motors;    Control precision;    Fuzzy;    pid controls;    Fuzzy PID controller;    Simulation model;    Simulink software;    Steady state accuracy;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012186/pdf
DOI  :  10.1088/1755-1315/69/1/012186

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

A fuzzy PID control algorithm is studied based on improved particle swarm optimization (PSO) to perform Brushless DC (BLDC) motor control which has high accuracy, good anti-jamming capability and steady state accuracy compared with traditional PID control. The mathematical and simulation model is established for BLDC motor by simulink software, and the speed loop of the fuzzy PID controller is designed. The simulation results show that the fuzzy PID control algorithm based on PSO has higher stability, high control precision and faster dynamic response speed.