Research of Adaptive Fault-Tolerant Control based on T-S Fuzzy Model for EMB System

In the electro mechanical brake (EMB) system, an improvement of the fault-tolerant control, like invalid protecticais of sensors and electric systems are the key problems to the development of electric vehicles. The adaptive fault-tolerant control in this paper is focus on the descriptor nonlinear system A^iich contains double time-delays and parameter uncertainties. In fault detection and estimatic»i, cxmstruct the controlled system model wliich contains multi-sensor, double time-delays and parameter uncertainties based on T-S fuzzy model, then design the observer to realize fault detection and estimation in real-time. In building the fault-tolerant control model, the first step is to choose an appropriate sliding surface, and combine the algorithm of sliding control with adaptive generic model control. Then apply the state observer to the designed sliding adaptive generic model, and build the decision model with dynamic fault reconfiguration. And the goal of this paper about the adaptive robust fault-tolerant control for the complex nonlinear controller system is achieved. Numerical SIMULINK simulation examples are given to illustrate the application and the effectiveness of the proposed design method.