Metro energy saving optimization algorithm by using model predictive control
WANG Ren-zhi
LI De-wei
XI Yu-geng
Abstract：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.
Keywords：metroenergy saving optimizationrolling optimizationmodel predictive control
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1129-1135 )