摘要
为了改善无刷直流电机(BLDCM)的调速性能,研究了基于变论域思想的自适应模糊PID控制器及其在BLDCM控制系统中的应用,变论域自适应模糊控制对模型无精确要求、速度快、精度高、鲁棒性好、适应性强。详细分析了BLDCM电机模型的建立、控制结构设计、伸缩因子的选择等,给出了具体的控制算法设计,并在Matlab仿真平台下,构建了BLDCM的电流、转速双闭环控制的仿真系统,其中,转速环采用了变论域自适应模糊PID控制器。仿真结果表明,与常规PID控制和普通模糊PID控制相比,采用变论域自适应模糊PID控制时,转速输出无超调,响应速度快,转矩脉动小,控制精度高,为无刷直流电机在军事、办公设备、家电等需要快速、高精度控制、抗扰能力强的场合的应用提供了一种有效的解决方案。
To improve the adjustable speed performance of brushless DC motor（BLDCM）,the variable universe（VU） fuzzy adaptive PID controller used for BLDCM control system is presented.The BLDCM modeling,the control structure design and the contraction-expansion factor selection are analyzed in detail,and the control law is proposed.The simulation system of BLDCM with double loop controller is established with Matlab.The speed loop is controlled by the VU fuzzy PID controller.Simulation results show that the control system with the VU-fuzzy PID controller has faster dynamic response,higher regulating precision and lower torque ripples than normal fuzzy PID controller and common PID controller.It provides an effective solution for BLDCM used in military,office equipment,electrical appliances which need high control performances.
出处
《控制工程》
CSCD
北大核心
2010年第5期599-602,共4页
Control Engineering of China
基金
西南石油大学"中青年骨干教师计划"资金资助项目(XSGGJS039)
