Abstract
This paper develops a new adaptive multiple-model failure compensation control scheme for high-speed trains with unknown system parameters and actuator failures. A parametrized state-space model is derived to describe the longitudinal dynamics with uncertain parameters and actuator failures. A bank of adaptive compensation control laws is designed by employing a set of estimators, each for a certain failure pattern belonging to a failure pattern set of interest for compensation. A control switching mechanism is formed for selecting the most preferred control signal which has a minimal estimation error. Such an adaptive multiple-model failure compensation control scheme has capacity of handling unknown actuator failures effectively and efficiently. A high-speed train model control simulation study verifies the desired system performance with the developed control scheme.
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