Interval Fuzzy Modeling Applied to Model Based Fault Detection of an Active Suspension System

被引：0
|
作者：
Ghiasi, T. S. [1 ]
Zarabadipour, H. [2 ]
Shoorehdeli, M. Aliyari [3 ]
机构：
[1] Imam Khomeini Int Univ Ghazvin, Dept Engn, Ghazvin, Iran
[2] Imam Khomeini Int Univ Ghazvin, Fac Elect, Dept Engn, Tehran, Iran
[3] KN Toosi Univ Technol, Fac Mech, Dept Elect & Comp Engn, Tehran, Iran
来源：
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词：
Active Suspension System; Fault Detection; Interval Fuzzy modeling;
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：
This paper presented an investigation on fault detection of an active suspension system using interval fuzzy modeling. A well known nonlinear classical controller called back-stepping method is used to simulate dynamic response of a half-car suspension system. Confidence bands for the system input-outputs data is approximated using an interval fuzzy model. Then Fault detection has been done by the use of these confidence bands. Simulation results depict that the proposed fault detection is highly effective in evaluating the performance of an active suspension system.
引用
收藏
页码：1896 / 1901
页数：6
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