Fuzzy Predictive Model Based High Speed Train Fault Tolerant Control Method

This paper studies on a fuzzy predictive model based high speed train fault tolerant control method, which is very important for high speed train’s high-precision control. After analyzing related research works about fault tolerant control and the development of modern high speed train, design of the high speed train fault tolerant control system is given. Afterwards, the high speed train fault tolerant controller is made up of two main modules, which are fault detection and isolation and model predictive control. Meanwhile, twelve parameters used in the proposed high speed train model are listed, and some related constraints are also given. Next, nine membership functions are aggregated by a conjunction operator. To verify the performance of the proposed method, computer simulations are conducted on position tracking and velocity tracking in 1500s, and simulation results demonstrate that the proposed high speed train fault tolerant controller can maintain high level control precision.