Neuroadaptive fault-tolerant control of high speed trains with input nonlinearities and actuator failures

This work investigates the position and velocity tracking control problem of high speed trains with multiple vehicles connected through couplers. A dynamic model coupled with nonlinear and elastic impacts between adjacent vehicles as well as traction/braking nonlinearities and actuation faults is derived. Neuroadaptive fault-tolerant control algorithms are developed to deal with various factors such as input nonlinearities, actuator failures, and uncertain impacts of in-train forces in the system. The effectiveness of the proposed approach is also confirmed through numerical simulation.