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基于神经网络控制器的直流无刷电动机控制研究
引用本文:任晶莹,姚绪梁,蔡晶,赵云凯.基于神经网络控制器的直流无刷电动机控制研究[J].农机化研究,2012,34(6):226-229.
作者姓名:任晶莹  姚绪梁  蔡晶  赵云凯
作者单位: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
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。

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

Research on the Brushless DC Motor Control System Based on Neuron Network Controller
Ren Jingying , Yao Xuliang , Cai Jing , Zhao Yunkai.Research on the Brushless DC Motor Control System Based on Neuron Network Controller[J].Journal of Agricultural Mechanization Research,2012,34(6):226-229.
Authors:Ren Jingying  Yao Xuliang  Cai Jing  Zhao Yunkai
Institution:1.Harbin Electric Power Vocational Technology College,Harbin 150001,China;2.College of Automation Harbin Engineering University,Harbin 150001,China)
Abstract: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.
Keywords:brushless DC motor  neural network control  NARMA-L2 control algorithm  DSP
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