基于神经网络控制器的直流无刷电动机控制研究  

Research on the Brushless DC Motor Control System Based on Neuron Network Controller

作　　者：任晶莹 姚绪梁[2] 蔡晶 赵云凯[2] 

机构地区：[1]哈尔滨电力职业技术学校,哈尔滨150001 [2]哈尔滨工程大学自动化学院,哈尔滨150001

出　　处：《农机化研究》2012年第6期226-229,共4页Journal of Agricultural Mechanization Research

摘　　要：近年来,直流无刷电动机在精细农业机械控制方面应用越来越广泛。为此,利用神经网络控制器实现对直流无刷电动机的控制,依据神经网络控制的基本原理及设计方法,提出了一种基于NARMA-LZ控制算法的神经网络控制器,对该系统控制效果进行了硬件实验研究。结果表明,利用神经网络控制器对直流无刷电动机进行控制,可提高系统控制精度和动态性能,增强抗干扰能力、识别效果和可靠性。In recent years,The applications of brushless DC motor in the pricision agricultural control is more and more extensive.In this paper,the control problem of brushless DC motor by neural network controller is studied.Propose the neural network controller which is based on NARMA-L2 control algorithm in according to the basic principles of neural network control and the design method of neural network controller,and research the effect of its control.From the results of the research,usage of neural network controller for brushless DC motor control has such advantages: high accuracy of control,dynamic performance,better anti-interference ability,identify effective and,reliable control system.

关 键 词：直流无刷电动机 神经网络控制 narma-lz控制算法 DSP 

分 类 号：TM33[电气工程—电机] TP273+.5[自动化与计算机技术—检测技术与自动化装置]