MIMO Evolution Model-Based Coupled Fault Estimation and Adaptive Control With High-Speed Train Applications

Abstract

This paper develops a closed-loop coupled fault estimation and a multivariable resilient control for high-speed train traction rectifier with upset conditions. By treating the multidimensional adverse states as changes of a single faults evolution factor, we build a reduced dimensional MIMO evolution model satisfying persistently exciting condition. In the presence of coupled faults, a nominal feed-forward controller guarantees the reliability of the closed-loop stability. Then, a fast proportional integral fault estimator is employed to predict the system resilience within a few microseconds. Under system uncertainties, a fault tolerant control scheme, including a unified robust adaptive controller, is designed to enhance the reliability. Applying the conditions of the globally asymptotically stability, the convergence of the resilient system is rigorously proved. A case study is performed to verify the effectiveness of the proposed approach.