CONTROL STRATEGY FOR OPTIMAL COMPROMISE BETWEEN TRIP TIME AND ENERGY-CONSUMPTION IN A HIGH-SPEED RAILWAY

This paper presents an approach to identify a fuzzy control model for determining an economical running pattern for a high-speed railway thr ough an optimal compromise between trip time and energy consumption. S ince the linguistic model is intuitive and informative to railway oper ators, they can easily implement a control strategy for saving energy. The approach includes structure identification and parameter identifi cation. It is proposed to utilize a fuzzy c-means clustering and a GA hybrid scheme to identify the structure and parameters of a fuzzy mode l, respectively. To evaluate the advantages and the effectiveness of t he suggested approach, numerical examples are presented. Comparison sh ows that the proposed approach can produce a fuzzy model with higher a ccuracy and smaller number of rules than previously achieved in other works, To show the global optimization and local convergence of the GA hybrid-scheme, an optimization problem having a few local minima and maxima is considered.