GIMC based Fault Detection and Its Application to Magnetic Suspension System
Yujiro NAKASO, Toru NAMERIKAWA
This paper deals with a fault detection for a magnetic suspension system by using Generalized Internal Model Control (GIMC) structure. To design a robust fault detection filter, fault detection design problems are formulated as multiple objective optimization problems by minimizing the effects of disturbances and keeping the fault sensitivity involving an LTI system with disturbance and fault signals. The designed fault detection filters by solving each optimization problems are implemented with the magnetic suspension system to verify its validity. In experimental results, the sensor fault is detected by the designed filter. Moreover, the disturbance affection is more reduced than the detection system using the conventional detection filter.