Fuzzy model based integral action sliding mode control

被引：2
|
作者：
Knight, MJ [1 ]
Sutton, R [1 ]
Burns, RS [1 ]
机构：
[1] Univ Plymouth, Dept Mech & Marine Engn, Plymouth PL4 8AA, Devon, England
来源：
SOFT COMPUTING | 2003年 / 7卷 / 04期
关键词：
fuzzy model identification; adaptive sliding mode control; motor control;
D O I：
10.1007/S00500-002-0211-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for combining black box nonlinear models and sliding mode control is presented. In this approach the advantages of the sliding mode control technique are maintained. Parametric uncertainty and unmatched disturbances are acknowledged as limiting factors of controller performance, and their effects are minimised through the use of local linearisation of the nonlinear model. Simulation results demonstrate performance improvements.
引用
收藏
页码：244 / 251
页数：8
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