Neural adaptive sliding mode speed tracking control of a DC motor

被引：1
|
作者：
Liu Zilong
School of Computer Science and Technology of Harbin Institute of Technology
NELAC. Core of Measure Control
机构：
来源：
Journal of Systems Engineering and Electronics | 2004年 / 03期
关键词：
DC motor; neural identifier; sliding mode;
D O I：
暂无
中图分类号：
TM33 [直流电机];
学科分类号：
080801 ;
摘要：
We propose a BPNN based adaptive sliding mode control scheme for speed tracking of a DC motor with unknown system nonlinearities. The input-output linearization technique is used to cancel the nonlinearities, and output of the BPNN is incorporated into the controller in the proposed scheme. It is shown that the rotor speed of a DC motor can follow any arbitrarily selected trajectories under variable load torque. Then the application of the approach is tested via some simulations.
引用
收藏
页码：304 / 308
页数：5
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