Performace Improvement of Self-Validating Sensors Using Fuzzy Logic

퍼지 논리를 사용한 Self-Validating 센서의 성능 개선

In case of sensor faults, they can be detected by examining the sensor output values and the typical values of the system. And then the types of the faults are recognized by the analysis of symptoms of faults. If necessary self-validating sensor values are synthesized according to the types of faults, and then they are used for the controller instead of the raw data. In this paper, fuzzy logic is introduced in SEVA sensors to improve the system performance. And then the method is applied to the control of a flexible link system with the sensor fault problems for exact positioning to show the applicability.