Research on fault diagnosis of electromagnetic active suspension based on double observer intelligent switching

Abstract

Electromagnetic active suspension can adjust stiffness and damping and is widely used in suspension. When the electromagnetic active suspension fails, the observer can be used for fault detection. In order to realize suspension fault detection under all road conditions, a double observer switching strategy is designed and simulated using MATLAB. Firstly, the switching strategies of the Kalman observer, unknown input observer (UIO) and double observer are designed, respectively. Then, for random roads, the Kalman observer is used for fault detection, while for bump road surfaces, the UIO is used for fault detection. The residoubles of the dynamic deflection of the suspension are used as switching conditions. Finally, a simulation analysis is carried out with MATLAB, and the conclusion shows that the switching strategy of double observers is better than that of the Kalman observer and UIO in full road conditions.