TY - GEN
T1 - Optimization for train speed trajectory based on Pontryagin's Maximum Principle
AU - Bao, Kai
AU - Lu, Shaofeng
AU - Xue, Fei
AU - Tan, Zhaoxiang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Among different energy efficiency improvement technologies for railway transportation, the optimization of speed trajectory is a feasible method with low cost, since there is no need to upgrade the railway infrastructures. This paper proposes a simplified method to find speed trajectory and co-state variables. The method is based on Pontryagin's Maximum Principle (PMP) to minimize tractive energy. Hamiltonian and co-state equation are derived. The design of this paper is based on an ideal model which has no speed limit, gradient, and regenerative braking. Under the necessary condition of PMP, it can obtain acceleration, cruising, coasting, deceleration sections independently using a linear iteration, and then connect them to form full trajectory using the Linking Principle proposed in this paper. The train parameters are determined based on locomotive SS4. The results show that PMP can be applied on optimal train trajectory with minimum energy consumption.
AB - Among different energy efficiency improvement technologies for railway transportation, the optimization of speed trajectory is a feasible method with low cost, since there is no need to upgrade the railway infrastructures. This paper proposes a simplified method to find speed trajectory and co-state variables. The method is based on Pontryagin's Maximum Principle (PMP) to minimize tractive energy. Hamiltonian and co-state equation are derived. The design of this paper is based on an ideal model which has no speed limit, gradient, and regenerative braking. Under the necessary condition of PMP, it can obtain acceleration, cruising, coasting, deceleration sections independently using a linear iteration, and then connect them to form full trajectory using the Linking Principle proposed in this paper. The train parameters are determined based on locomotive SS4. The results show that PMP can be applied on optimal train trajectory with minimum energy consumption.
UR - http://www.scopus.com/inward/record.url?scp=85046290605&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2017.8317820
DO - 10.1109/ITSC.2017.8317820
M3 - Conference Proceeding
AN - SCOPUS:85046290605
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 1
EP - 6
BT - 2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017
Y2 - 16 October 2017 through 19 October 2017
ER -