噪声与振动控制2018，Vol.38Issue(3)：49-54,59,7.DOI:10.3969/j.issn.1006-1355.2018.03.009
基于加速粒子群算法的车辆座椅悬架最优控制研究
Optimal Control of Active Seat Suspension Systems using Acceleration based Particle Swarm Optimization
摘要
Abstract
Traditional standard LQR controllers have a disadvantage that the weighting matrices of the controllers need to be determined by the designers according to their experience, which usually makes controllers unable to achieve the global optimum. In this paper, a method of determining the weighting matrices by acceleration based particle swarm optimization (APSO) is proposed. First of all, a six-DOF half-car model including wheel, vehicle's body, seat and human body is established for random vibration analysis. The parameters of the seat suspension are optimized by APSO, and the LQR optimal control is carried out based on the parameter optimization system. The MATLAB/Simulink is used for the simulation of the parameter optimization system and the LQR control system. The vibration isolation performance of the seat suspension system is indicated by the vertical acceleration of the"seat-human body"system. Results show that the controller based on APSO has better vibration reduction properties than those of the traditional LQR controller based on GA and PSO.关键词
振动与波/座椅悬架/加速粒子群算法/最优控制/乘坐舒适性Key words
vibration and wave/seat suspension/acceleration based particle swarm optimization/optimal control/riding comfort分类
数理科学引用本文复制引用
刘杉,孙琪,侯力文,牛宁,孙玲玲..基于加速粒子群算法的车辆座椅悬架最优控制研究[J].噪声与振动控制,2018,38(3):49-54,59,7.基金项目
国家自然科学基金资助项目(51737008) （51737008）
