Data-Driven Model-Free Adaptive Sliding Mode Control Based on FFDL for Electric Multiple Units

The electric multiple units (EMUs) have become a very convenient and powerful means of transportation in our daily life. Safe punctual trajectory tracking control is the key to improve performance EMUs system, but it difficult realize due influence environmental uncertainty, coupling nonlinearity. In this paper, model-free adaptive sliding mode (MFASMC) method proposed for EMUs. This can solve dependence model-based on train model eliminate external disturbances robust system. method, running process equivalent full format dynamic linearization (FFDL) data model, controller (MFAC) designed based model. Then, reduce measurement disturbance robustness discrete (SMC) algorithm introduced. Furthermore, prevent input from being too large, parameter estimation error introduced as an additional correction term algorithm. end, simulation experiment carried out with CRH380A object. Compared traditional MFAC SMC, speed effect each power unit MFASMC more effective, change force stable, acceleration meets requirements driving, has strong inhibitory disturbances.