Abstract
This paper develops an explicit design methodology for development of observer-based sensor health monitoring systems using Linear Matrix Inequalities. The developed methodology applies to linear parameter-varying systems with three or more sensors in which the state is observable through any one of the sensors. A fault in any of the system sensors can be uniquely identified by the diagnostic system. The developed methodology is applied to health monitoring of the lateral sensors on a GPS-controlled truck. A set of three sensors on the truck consisting of a GPS system, a lateral accelerometer and a yaw-rate gyroscope is considered. The performance of the fault diagnostic system is documented from extensive experimental results. Experimental results show that the fault diagnostic system can correctly detect a failure in any of the 3 sensors and accurately identify the source of the fault.
Original language | English (US) |
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Title of host publication | ASME International Mechanical Engineering Congress and Exposition, Proceedings |
Pages | 1729-1737 |
Number of pages | 9 |
Volume | 2 |
State | Published - Dec 1 2001 |
Event | 2001 ASME International Mechanical Engineering Congress and Exposition - New York, NY, United States Duration: Nov 11 2001 → Nov 16 2001 |
Other
Other | 2001 ASME International Mechanical Engineering Congress and Exposition |
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Country/Territory | United States |
City | New York, NY |
Period | 11/11/01 → 11/16/01 |