采用预测控制的地铁节能优化控制算法

Metro energy saving optimization algorithm by using model predictive control

本文针对地铁列车自动运行系统(automatic train operation,ATO)一般运行情况以及晚点延迟发车情况下的节能问题,基于预测控制算法设计了地铁节能优化控制算法.利用预测控制算法的在线滚动优化特性,通过设计含有能量消耗趋势优化项的控制目标函数,控制算法能够针对节能目标实现快速动态调整.通过调节目标函数中各优化项权重的相对大小,节能算法可以在满足列车时间与路程运行指标的同时,达到降低能耗的目的.在MATLAB平台上利用真实车辆模型对提出的节能优化控制算法进行了仿真,在列车不延迟与延迟的情况下,算法都很好地平衡了跟踪目标与节能目标,为地铁能耗动态优化控制提供了可行方案.

The goal of this paper is to solve energy saving optimization problem of metro trains which are probably delayed from starting station. Based on predictive control, a rolling optimization control algorithm is designed for the metro automatic train ATO system. The expression of energy consumption is introduced into the objective function of rolling optimization in the train ATO model predictive control. By adjusting the weights of each term in corresponding objective function, controller can track the set curve and achieve energy saving simultaneously. Simulation results on MATLAB platform verify the effectiveness of the control scheme. Energy optimization is dynamic and satisfactory solution taking both tracking and energy saving into account can be obtained even for the train with start delay.