WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 10, 2015
The Research and Application of NMPC in Automatic Train Operation
Authors: , , ,
Abstract: According to the requirement of safety, punctuality, comfort and energy saving and environmental protection of high speed train, this paper presents that the terminal on strained nonlinear model predictive control based on Particle Swarm Optimization is applied to control of Automatic Train Operation(ATO)system. Firstly, according to the energy saving theory a target curve of saving energy operation of train was designed, namely speed distance curve. In terms of comfort and punctuality, acceleration and distance versus time curves were designed. secondly, through PSO algorithm and gradient descent method were drawn into NMPC, which formed hybrid optimization model, optimal control was achieved. In the end, PSO-NMPC was applied to the simulation analysis of the nonlinear parameter model of CRH2A(China Railway High-space), and then validity and feasibility of the algorithm applied in ATO was verified.
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Pages: 228-236
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 10, 2015, Art. #25