Energy-efficient receding horizon trajectory planning of high-speed trains using real-time traffic information
Defeng HE
Long ZHOU
Zhe SUN
1.College of Information Engineering, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China2.College of Information Engineering, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China3.College of Information Engineering, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China
摘要：Optimal trajectory planning of high-speed trains (HSTs) aims to obtain such speed curves that guarantee safety,punctuality,comfort and energy-saving of the train.In this paper,a new shrinking horizon model predictive control (MPC) algorithm is proposed to plan the optimal trajectories of HSTs using real-time traffic information.The nonlinear longitudinal dynamics of HSTs are used to predict the future behaviors of the train and describe variable slopes and variable speed limitations based on real-time traffic information.Then optimal trajectory planning of HSTs is formulated as the shrinking horizon optimal control problem with the consideration of safety,punctuality,comfort and energy consumption.According to the real-time position and running time of the train,the shrinking horizon is updated to ensure the recursive feasibility of the optimization problem.The optimal speed curve of the train is computed by online solving the optimization problem with the Radau Pseudo-spectral method (RPM).Simulation results demonstrate that the proposed method can satisfy the requirements of energy efficiency and punctuality of the train.
机标关键词：
论文发表日期：2020-05-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：13( 204-216 )
英文信息