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

Cheng, Yung-Chang; Lee, Cheng‐Kang

doi:10.1007/s10409-017-0658-7

Cited by 3 publications

(1 citation statement)

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“…21 Sert and Boyraz 25 conducted sensitivity analysis as a means to optimize the stability of vehicle suspension. Investigation of the performance of railway vehicle suspension system and optimization of its design parameters were performed by Cheng and Lee 22 by integrating the uniform design of experiments along with Quantum-behaved PSO (QPSO). Genovese et al 23 performed a multi-physics optimization of a pneumatic suspension system with integrated energy harvesting.…”

Section: Introductionmentioning

confidence: 99%

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Ghorbany

Ebrahimi-Nejad

Mollajafari

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, the parameters of the validated suspension system model of a full-vehicle are tuned through design sensitivity analyses, and then Multi-Objective Particle Swarm Optimization (MOPSO) is used to enhance vehicle ride comfort, which is the vertical whole-body vibrations, and handling features, that is, roll motion and road holding, simultaneously. The parameters of this thermodynamic-based pneumatic suspension system model are comprised of the air spring reservoir volume, orifice resistance, initial volume, and pressure of the pneumatic springs. To enhance the convergence rate, computational times, and diversity of the swarm particles, we have incorporated chaotic dynamics into the MOPSO using the Logistic Map chaotic method to initialize the population and also employed the leader-based global guidance techniques to conduct the potential solutions in each iteration. The analysis of the proposed modeling and optimization results show that the suspension system has been reasonably boosted in terms of vehicle handling and ride comfort. Quantitatively, the RMS acceleration and pitch angle has been reduced by about 71% and 57%, respectively, showing a substantial improvement in passenger comfort. Furthermore, the proposed approach caused an increase in tire road-holding force by about 148% and a reduction of roll angle by 33% which results in an enhancement in vehicle handling, boosting vehicle driving safety.

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