电机与控制应用Issue(11)：14-17,22,5.
无刷直流电机自适应模糊优化控制
Adaptive Fuzzy Control of Speed Regulating for BLDCM Based on Optimization Algorithm
王云良 1王继水 1王敏其2
作者信息
- 1. 常州机电职业技术学院，江苏 常州 213164
- 2. 江苏五洋赛德科技有限公司，江苏 常州 213164
- 折叠
摘要
Abstract
Considering the traditional PID control of DC motor speed regulating system has low precision, poor anti-interference ability, adouble loop DC speed control system was proposed for the design scheme, and BLDCM as the controlled object. In order to improve the dynamic performance of BLDCM speed control system, PID control is combined with fuzzy control and particle swarm optimization algorithm. Besides, the inner current loop adopts current hysteresis control. The speed outer ring adopts traditional PID controller, adaptive fuzzy PID controller and the particle swarm optimization of adaptive fuzzy PID controller. Finally, in the no-load and disturbance conditions, the paper analyzed the control effect of speed outer ring on BLDCM. And in MATLAB/Simulink, a simulation model was builded and analyzed. The simulation results show that, in the three kinds of control methods, the control system adopting the adaptive fuzzy PID controller based on particle swarm optimization has the best dynamic, static performance and anti-interference ability.关键词
无刷直流电机/模糊控制/自适应PID控制/优化算法Key words
brushless DC motor/fuzzy control/adaptive PID control/optimization algorithm分类
信息技术与安全科学引用本文复制引用
王云良,王继水,王敏其..无刷直流电机自适应模糊优化控制[J].电机与控制应用,2014,(11):14-17,22,5.
