The application of grey system theory combined with fuzzy reasoning in high order nonlinear control system

被引:0
|
作者
Zhang, SH [1 ]
Chen, MY [1 ]
Song, YX [1 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
关键词
grey system theory; grey fuzzy sliding mode controller; fuzzy reasoning; vibration;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The system with partial unknown structure, parameters, and characteristics is called a grey system. The grey system theory can be employed to improve the control performance of a system without sufficient information or with highly nonlinear property. In this paper, grey system theory is introduced into sliding mode control of high order nonlinear system and a novel grey fuzzy sliding mode controller is developed. In Us controller design, grey prediction model combined with fuzzy reasoning is proposed to obtain sliding mode control strategy. The controller can drive the state from an arbitrary initial point of state to the origin along a sliding mode hyper plane quickly and reduce the vibration phenomenon that is caused by switching delay brought by system inertia. Grey system theory is the efficient tool in the analysis and control of nonlinear, uncertain systems.
引用
收藏
页码:D291 / D296
页数:6
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