Active Fault Tolerant Control For Missing Measurement Problem In A Quarter Car Model With Linear Matrix Inequality Approach

In this paper, we start to investigate missing measurement problem in a Quarter car model with Active Fault Tolerant Control (AFTC). AFTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online to improve the stability and overall performance of the system when an error occurs. The design is divided into two parts. The first part is designed H-Infinity observer-based Fault Detection Filter (FDF) to generate a residual signal to estimate fault. FDF is designed to minimize the disturbance effect and maximize sensitivity fault. The second is a design fault tolerant control and Fault Compensation to guarantee the stability and performance system from disturbance by ignoring faults. And the function of fault compensation is to minimize effect fault of the system. The main contribution of this research is AFTC proved to solve the missing measurement problem in a Quarter car model. The simulation showed the effectiveness of this method for missing measurement problem which can reduce peak effect until 50% and 2 s faster in steady condition