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永磁直线同步电机的PIDNN控制

蔡满军 赵晓东 赵成圆

电气传动2016,Vol.46Issue(12):3-6,4.
电气传动2016,Vol.46Issue(12):3-6,4.DOI:10.19457/j.1001-2095.20161201

永磁直线同步电机的PIDNN控制

Control for PMLSM Based on PIDNN

蔡满军 1赵晓东 1赵成圆1

作者信息

  • 1. 燕山大学河北省工业计算机控制工程重点实验室,河北 秦皇岛 066004
  • 折叠

摘要

Abstract

For permanent magnet linear synchronous motor as the actuator of the drive system being vulnerable to the influence of the periodic disturbance such as the end effect,etc,the PIDNN control methods based on PID neural network was proposed. PIDNN which had the function of proportion,integral and differential neurons, incorporated PID control law into the neural network. PIDNN effective inhibited end effect,thrust ripple,the cogging force and the friction disturbance to the system. Compared with the traditional PID control,Simulation experiments show that the PIDNN control improves the robustness and traceability of the system,and is the more practical and effective.

关键词

永磁直线同步电机/PID神经元网络/神经网络/干扰抑制

Key words

permanent magnet linear synchronous motor/proportional-integral-derivative neural network/neural network/disturbance rejection

分类

信息技术与安全科学

引用本文复制引用

蔡满军,赵晓东,赵成圆..永磁直线同步电机的PIDNN控制[J].电气传动,2016,46(12):3-6,4.

基金项目

国家自然科学基金 ()

电气传动

OA北大核心CSTPCD

1001-2095

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