基于MGASA的城市轨道交通列车节能优化控制研究

Energy-saving optimization control of city railway train based on MGASA

针对当前列车节能优化控制研究中对匀速状态考虑不足的情况,对包括匀速状态的列车运行状态组合及其能耗算法进行了研究。通过对列车运行过程作动力学分析,在深入研究列车能耗计算的基础上,基于MATLAB数值计算优势,设计了列车能耗计算的仿真程序。以确保列车运行准时为原则,提出考虑匀速状态的列车控制策略,以区间限速以及列车工况转换为约束进行建模,并采用改进的遗传退火算法(MGASA)对模型求解。从优化结果可知,与以往优化策略相比,在列车运行时分压缩5.66%的情形下,列车能耗仅增加了1.89%。结果分析表明,其优化效果较好,包括匀速状态的列车运行状态组合具有较强的实用价值,可为司机驾驶以及ATO系统设计提供理论指导。

Against uniform state which was seldom considered in the current study of train energy optimization control,this paper studied the condition combination and energy consumption algorithm by combining the uniform state. Through the dynamics analysis on train operation process,on the basis of in-depth study for energy consumption calculation and MATLAB numerical calculation advantage,it designed train energy consumption simulation program. Adhere to the principle of train operation timely,it put forward train control strategy considering the uniform velocity state,and constructed the model with the constraint of railroad section speed limit and working condition transition and solved by the modified genetic algorithm-simulated annealing（ MGASA）. From the optimization results can be derived that compared with the previous optimization strategy,compression ratio of train running time comes to 5. 66% and energy consumption increased only 1. 89%. The results show that the optimization effect is better. The study of condition combination considering the uniform state has stronger practicability and can provide theoretical guidance for the driver as well as the design of ATO system.