Analysis and Optimization of Ride Comfort for Semi-Active Suspension Based on Variable Damping

Abstract:

Based on NEWTON and dynamical analysis the half car model is built, in which air spring is a nonlinear system on the basis of force model and the shock absorber has soft and hard states. By the simulation of the model and combination with experiments, the model is proved right and the influencing factor of angle-displacement and acceleration of body can be gained. Then with the application of genetic algorithm in Matlab tools, appropriate control parameters is being set, the above-mentioned model can be optimized, results of optimizations will be compared with three ride comfort evaluation indexes before optimizations. By judging the corresponded extents of curve before and after optimizations, it shows that the parameters after optimizations can improve the ride comfort.

• Periodical: Advanced Materials Research (Volume 1055)
• Pages: 175-181
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1055.175
• Online since: November 2014
• Authors: Shao Bo Zhang, Mei Li, Yan Xia Liu
• Keywords: Genetic Algorithm (GA), Half-Car Model, Optimization, Ride Comfort

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