A unified framework for air resistance coefficient identification and cruise control of high-speed trains

The identification and control of high-speed train (HST) systems are typically two opposing objectives that are difficult to achieve simultaneously. In this study, a unified identification-control framework based on the attraction point theory is proposed to balance this contradiction. Driven by the proposed framework, the unknown air resistance coefficient is accurately identified. Meanwhile, the HST speed is stabilized at a constant cruise speed and never exceeds the pre-given speed upper bound. Rigorous mathematical derivation shows that our proposed framework has a monotonous convergence mode and an exponential convergence rate. Simulation experiments further validate the theoretical results.