无稳态振荡极值搜索重载机车最优粘着控制

Optimal Adhesion Control for Heavy-Haul Locomotive of Extremum Seeking Algorithm Without Steady-State Oscillation

针对提高重载机车的粘着利用率问题,提出了一种基于无稳态振荡极值搜索算法的最优粘着控制策略。首先,建立了重载机车动力学模型;其次,采用无稳态振荡极值搜索算法设计了重载机车最优粘着控制器。上述方法无需估计轨面的粘着系数,根据粘着特性曲线可自寻优搜索峰值,使轮轨和机车间的蠕滑速度控制在最优点附近。最后,与传统的滑模极值搜索最优粘着控制方法进行仿真对比。仿真结果表明,稳态振荡极值搜索有效解决了滑模极值搜索法存在的稳态振荡问题,验证了方法的有效性。

This paper proposes an optimal adhesion control strategy based on extremum seeking algorithm without steady-state oscillation to improve heavy-hanl locomotive adhesion utilization. First of all, the heavy-haul locomotive dynamics model was established. The method does not need to estimate the adhesion coefficient of the rail surface, and can search the peak value according to the adhesion characteristic curve, so that the creep velocity between the wheel and rail was controlled near the optimal value. Finally, by comparing with the optimal adhesion control method based on the sliding mode extremum search, the steady state oscillation problem of the sliding mode extremum search method was solved. Simulation results verified the effectiveness of the method.