Data-based dynamic characteristic modeling and tracking control for high-speed train

This paper introduces a novel dynamic characteristic modeling for high-speed train (HST) speed-position tracking control under time-varying, unpredictable and unknown operational environments. This method involves the construction of a dynamic characteristic model and design of a golden-section adaptive controller, which is a data-based model-free controller design approach and requires no precise mathematical description of the plant Based on the above methodology, speed-position tracking control and energy-saving operation problems of HST are studied. The effectiveness and preciseness of the proposed model and corresponding controllers are verified via numerical simulations, with high energy efficiency concurrently.