重庆理工大学学报（自然科学版）2017，Vol.31Issue(9)：15-21,7.DOI:10.3969/j.issn.1674-8425(z).2017.09.003
主动悬架的滑模控制指数趋近率参数优化
Parameter Optimization of Exponent Approaching Sliding Mode Control Method for Active Suspension
摘要
Abstract
An improved sliding mode control method is proposed to remedy the poor control effect raised from exponent approaching sliding mode parameter randomly chosen used in vehicle active suspension.The control effect and accuracy is consequently increased.Firstly,1/4 vehicle active suspension system model is built.Coefficient of sliding mode surface was selected in accordance with Hurwitz stable judgement of sliding mode motion equation.Exponent tendency rate was used to improve dynamic quality of sliding mode motion.Secondly,the weakness exponent approaching sliding mode parameter chosen randomly is pointed out and optimized by genetic algorithm.Finally,Results show that the suspension quadratic performance indexes of the improved sliding mode control suspension reduce by 7.6％ and 35.6％ compared with passive suspension and sliding mode control suspension,respectively,and the root mean square value of the sprung mass acceleration decrease 13.3％ and 45.6％,respectively.The optimized control effect by genetic algorithm is much better than before and advancement of the control method is proved.关键词
主动悬架/遗传算法/滑模控制Key words
active suspension/genetic algorithm/sliding mode control分类
机械制造引用本文复制引用
王健,蔡宇萌..主动悬架的滑模控制指数趋近率参数优化[J].重庆理工大学学报（自然科学版）,2017,31(9):15-21,7.基金项目
国家自然科学基金资助项目(1721122043) （1721122043）
