基于神经元PID的永磁无刷电机控制系统研究  

Control system of brushless DC motor based on neuron PID

作　　者：赵鹏飞[1] 俞建定[1] 骆国庆[1] 

机构地区：[1]宁波大学信息科学与工程学院,浙江宁波315211

出　　处：《机电工程》2014年第7期892-897,共6页Journal of Mechanical & Electrical Engineering

摘　　要：针对高性能永磁无刷电机的伺服控制问题,对永磁无刷电机的物理结构、数学模型、工作原理进行了研究,介绍了永磁无刷电机控制系统的构成和传统PID控制器的工作原理,对基于传统PID控制器的无刷电机控制系统的不足进行了分析和归纳,提出了一种基于神经元PID的永磁无刷电机智能控制方法,阐述了神经元PID控制器特点,对神经元PID控制系统进行了算法设计和实现,将神经元PID控制器应用在永磁无刷电机速度环的控制中,利用神经元的自学习能力,可以进行控制参数的在线训练及实时整定,利用Matlab/Simulink分别对基于传统PID和基于神经元PID的永磁无刷电机控制系统进行了仿真和测试,并对比了两者仿真结果。研究结果表明,该系统能够提高无刷电机的响应速度和运行平滑性。Aiming at servo control of high-performance permanent magnet brushless motor, the physical structure, the mathematical model and the principle of permanent magnet brushless motor were researched. After the introductions of the principle of traditional PID controller and the control system of permanent magnet brushless motor, the defects of brushless motor control system based on traditional PID controller were analyzed and summarized, an intelligent control strategy of permanent magnet brushless motor based on Neuron PID was proposed. Firstly, the characteristics of Neuron PID controller were expounded. Then the algorithm of the Neuron PID control system was designed and implemented, the Neuron PID controller was used in control of speed loop of permanent magnet brushless, utilizing the self-learning ability of Neuron PID, control parameters can be trained and adjusted in real time. At last, simulation of permanent magnet brushless motor control system based on traditional PID and Neuron PID were given with Simulink, both the results of simulation were compared. The results indicate that the system can improve the response of speed and the rotational stability of brushless motor.

关 键 词：无刷电机 伺服控制 神经元PID 自适应 

分 类 号：TH39[机械工程—机械制造及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]