Research on High-speed Maglev Energy-saving Driving Control

Maglev train, as a new transportation mode, has the advantages of strong environmental adaptability, convenience and swiftness, and has a vast development prospect in the future rail transit field. The driving control strategy of the maglev train mainly focuses on obtaining the shortest running time and the lowest energy consumption. In this paper, the force of the maglev train is analyzed at first, and then, considering the ramp, line speed limit, traction, and braking force constraints, the energy-saving model of the maglev train with time constraint are established. Based on the above model, a pseudo-spectral method is designed to solve the optimization problems. First of all, we preprocess the ramp and speed data. Then we use the pseudo-spectral method to solve the model. Finally, we obtain the shortest running time driving curve, optimal energy-saving driving curve with the time constraint and optimal train running time allocation energy-saving driving curve. The simulation results show that the proposed algorithm has an obvious energy-saving effect.