Neural network-based optimal control of a DC motor positioning system

被引：8

作者：

Khomenko, Maksym ^{[1
]}

Voytenko, Volodymyr ^{[1
]}

Vagapov, Yuriy ^{[2
]}

机构：

[1] Chernihiv State Technol Univ, Ind Elect Dept, 95 Shevchenko St, UA-14027 Chernihiv, Ukraine

[2] Glyndwr Univ, Dept Engn & Appl Sci, Mold Rd, Wrexham LL11 2AW, Wales

来源：

INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL | 2013年 / 7卷 / 1-2期

关键词：

DC electric drives; positioning systems; artificial neural network; ANN; digital control;

D O I：

10.1504/IJAAC.2013.055097

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article describes an optimal control algorithm for a DC motor drive operating as a positioning system. The control algorithm is based on combination of artificial neural network and state space method with variable gain. The positioning system operating under proposed algorithm has demonstrated a transient process close to optimal without overshoot. It has been also shown that the control algorithm is robust to the change of the DC motor parameters and the supply voltage disturbances. An experimental setup based on TMS320F243 evaluation module has been designed and built in order to prove the simulation results. The algorithm has been verified by simulation using MATLAB/Simulink and proved by a number of practical experiments.

引用

页码：83 / 104

页数：22

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