A NEURAL NETWORK-BASED TRACKING CONTROL-SYSTEM

被引：18

作者：

TAI, HM

WANG, JL

ASHENAYI, K

机构：

[1] Engineering, University of Tulsa, Department of Electrical, Tulsa

[2] Department of Electrical Engineering, Atlanta

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1992年 / 39卷 / 06期

关键词：

D O I：

10.1109/41.170969

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 paper presents an application of the back-propagation neural network to the tracking control of industrial drive systems. The merits of the approach lie in the simplicity of the scheme and its practicality for real-time control. Feedback error trajectories, rather than desired and / or actual trajectories, are employed as inputs to the neural network tracking controller. It can follow any arbitrarily prescribed trajectory even when the desired trajectory is changed to that not used in the training. Simulation was performed to demonstrate the feasibility and effectiveness of the proposed scheme.

引用

页码：504 / 510

页数：7

共 17 条

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