Nima Ghaviha
School of Business, Society and Engineering, Mälardalen University, Sweden
Markus Bohlin
SICS Swedish ICT, Sweden
Fredrik Wallin
School of Business, Society and Engineering, Mälardalen University, Sweden
Erik Dahlquist
School of Business, Society and Engineering, Mälardalen University, Sweden
Ladda ner artikel
http://dx.doi.org/10.3384/ecp15119377Ingår i: Proceedings of the 56th Conference on Simulation and Modelling (SIMS 56), October, 7-9, 2015, Linköping University, Sweden
Linköping Electronic Conference Proceedings 153:38, s. 377-382
Problem of optimal train control with the aim of minimizing energy consumption is one of the old optimal control problems. During last decades different solutions have been suggested based on different optimization techniques, each including a certain number of constraints or different train configurations, one being the control on the tractive effort available from traction motor. The problem is previously solved using dynamic programming for trains with continuous tractive effort, in which velocity was assumed to be the control variable. The paper at hand presents a solution based on dynamic programming for solving the problem for trains with discrete tractive effort. In this approach, tractive effort is assumed to be the control variable. Moreover a short comparison is made between two approaches regarding accuracy and ease of application in a driver advisory system.
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