Integration of Uniform Design and Quantum-Behaved Particle Swarm Optimization to the Robust Design for a Railway Vehicle Suspension System under Different Wheel Conicities and Wheel Rolling Radii 
  
作者Yung-Chang Cheng; Cheng-Kang Lee
期刊名称Acta Mechanica Sinica
2017
摘要This paper has proposed a systematic method, integrating the uniform design (UD) of experiments and quantum-behaved particle swarm optimization (QPSO), to solve the robust design problem of a railway vehicle suspension system. Based on the new nonlinear creep model derived from combining Hertz contact theory, Kalker’s linear theory and heuristic nonlinear creep model, the modeling and dynamic analysis of a 24 degree-of-freedom railway vehicle system were investigated. Lyapunov indirect method was used to examine the effects of suspension parameters, wheel conicities and wheel rolling radii on critical hunting speeds. Generally, the critical hunting speeds of vehicle system provided by worn wheels with different wheel rolling radii are lower than those of vehicle system provided by original wheels without different wheel rolling radii. Because of the worn wheel caused by the long-term running railway vehicle, its critical hunting speed substantially declines. For safety reason, it is necessary to design the suspension system parameters to increase the robustness of the system and decrease the sensitive of wheel noises. By applying UD and QPSO, the nominal-the-best signal-to-noise Ratio (SNR) of the system was increased from -48.17 dB to -34.05 dB. The rate of improvement was 29.31%. This study has demonstrated that the integration of UD and QPSO can successfully find out the optimal solution of suspension parameters for solving the robust design problem of a railway vehicle suspension system.
关键词Speed-dependent nonlinear creep model; Quantum-behaved particle swarm optimization; Uniform design; Wheel rolling radius; Hunting stability
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