Adaptive Control Design and Evaluation for Multibody High-Speed Train Dynamic Models

In this article, the adaptive tracking control problem is investigated for a multibody high-speed train dynamic model in presence of unknown parameters, which an open problem. A four-car unit with input signals acting on second and third cars output being speeds first chosen as benchmark model, aerodynamic resistance force also considered. To handle nonlinear term, feedback linearization method employed to decompose system into dynamics subsystem zero subsystem. new detailed stability analysis conducted show that such Lyapunov stable partially input-to-state under condition speed error between exponentially convergent (to be ensured by nominal controller) or belongs L 1 signal space achieved properly designed controller). The configuration leads relative degree 1 2 subsystem, different linearization-based controllers their versions are developed ensure needed stabilization condition, desired closed-loop boundedness, asymptotic tracking. Detailed performance given schemes. Simulation results from realistic presented verify performance.