摘要
为简化无刷直流电机控制系统的结构,使其具有较快的转矩响应速度,针对传统的PID控制方式在对BLDCM系统控制时,存在精度低、抗干扰能力弱等不足,提出了一种基于无传感器的反电势过零检测的参数自适应模糊PID集成控制方案。将模糊自适应PID控制应用到SLBLDCM控制系统中,建立无刷直流电机的数学模型,利用Matlab中的Fuzzy Toolbox和Simulink完成电机模糊自适应双闭环调速系统的仿真设计。仿真结果表明,控制系统运行平稳,速度跟踪快速准确,具有较高的控制精度和较好的鲁棒性。
In view of the low precision and poor interference ability of the traditional PID control method, a parameter adaptive fuzzy PID integrated control strategy based on sensorless brushless DC motor （SLBLDCM） control system using back EMF zero crossing detection is proposed for a simpler system structure and faster torque response speed. The fuzzy adaptive PID control is applied to SLBLDCM control system. We establish a mathematical model of the brushless DC motor, and use the Fuzzy Toolbox and Simulink of Matlab to design the fuzzy adaptive double closed loop control system. Simulation results show that the control system runs smoothly with quick and accurate speed tracking, high control accuracy and good robustness.
出处
《电子科技》
2015年第10期119-122,共4页
Electronic Science and Technology
基金
国家自然科学基金资助项目(61074016
61374039)
上海市浦江人才计划基金资助项目(13PJ1406300)
教育部新世纪优秀人才计划基金资助项目(NCET-11-1051)
