Speed control of a DC motor using BP neural networks

被引:0
|
作者
Liu, ZL [1 ]
Zhuang, XY [1 ]
Wang, SY [1 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin, Peoples R China
关键词
BP neural networks; nonlinearities; online identification and control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In tackling the problem of the speed control of a dc motor, the conventional constant gain feedback controller fails to maintain the performance of the system at acceptable levels under unknown in dynamics load torque. Meanwhile, artificial neural networks so far acted as the effective tools to implement the model and adaptive control in a complicated nonlinear system have got expansive allocations. Thus in order to shun the drawbacks of the conventional constant gain feedback controller, this paper makes use of the power of feedforward artifical neural networks to identify and control online, therefore modulate a rational control rate. Finally, this method is proved to be feasible by virtue of the existence of the simulation results.
引用
收藏
页码:832 / 835
页数:4
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