Affiliations: Railway Vehicle Department, Hebei Vocational College of Rail Transportation, Shijiazhuang, Hebei 052165, China
Correspondence:
[*]
Corresponding author: Lei Wang, Railway Vehicle Department, Hebei Vocational College of Rail Transportation, Shijia- zhuang, Hebei 052165, China. E-mail: chinagreengarden@126.com.
Abstract: In order to explore the application of particle swarm optimization (PSO) in the control of electric multiple unit (EMU) brake control system, the principle of EMU braking system, block partition and Quantum swarm optimization (QSO) is understood. PSO is applied to the diagnosis model of EMU braking process, and then the data are analyzed through computer simulation experiments. The results show that PSO algorithm has obvious effect on the diagnosis model of EMU braking process under railway block partition. When using PSO, the number of iterations of EMU braking system model to achieve convergence equilibrium is much less than that of ordinary model, which has obvious rapidity and ease of implementation and has great significance especially in safety. In summary, PSO is very suitable for being applied the diagnosis model of EMU brake control system.
