【摘要】 分析了电力机车牵引系统动力学模型及其粘着控制问题,利用基于多分辨率分析的模糊系统(MAFS)方法,根据系统输入和输出数据,建立具有优化结构的电力机车粘着控制对象的模糊系统模型。在此基础上,结合粘着控制模型,给出了基于MAFS及其辨识算法的模糊自适应粘着控制器。仿真结果表明该粘着控制方法的可行性和优越性。更多还原

【Abstract】 Dynamics model of electric locomotive traction system and its adhesion control were analyzed. Based on the system input-output data, fuzzy system model of the electric locomotive adhesion control with optimized structure was constructed by multi-resolution analysis based fuzzy system (MAFS) method. Combined with characteristic of adhesion control model, fuzzy indirect adaptive adhesion control was given based on MAFS and its identification algorithm. Simulation results show the feasibility and advantageous of the proposed adhesion control approach.更多还原