Abstract
Fuzzy control strategy based on PSO was proposed for the complex train lateral suspension model. In this thesis, A17-DOF train lateral semi-active suspension system was modeled by simulink software, and at the same time, fuzzy controller and control rules were designed. Then, the root mean square value (RMS) of train lateral acceleration was used as object function, and membership functions of fuzzy controller’s output variable were designed by PSO. The result of the simulation reveals that compared with the traditional fuzzy controller, the values of train lateral acceleration RMS of the front and rear bogies by using the optimized fuzzy controller reduce by 5.05% and 7.75%, respectively. In comparison with the passive suspension, the values reduce by 13.56% and 15.51%, respectively, which is more significant.
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© 2012 Springer-Verlag Berlin Heidelberg
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Li, G., Jin, W., Chen, C. (2012). Fuzzy Control Strategy for Train Lateral Semi-active Suspension Based on Particle Swarm Optimization. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34381-0_2
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DOI: https://doi.org/10.1007/978-3-642-34381-0_2
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