液压与气动2025，Vol.49Issue(12)：11-25,15.DOI:10.11832/j.issn.1000-4858.2025.12.002
工程矿卡半主动油气悬架的多目标优化与模型预测控制
Multi Objective Optimization and Model Predictive Control of Semi-active Hydro-pneumatic Suspension for Engineering Mining Trucks
摘要
Abstract
Traditional passive hydro-pneumatic suspensions,limited by their ride comfort and handling stability,becomes a performance bottleneck for mining trucks.A semi-active hydro-pneumatic suspension model predictive control strategy based on whale algorithm optimization is proposed,aiming to achieve rapid convergence and optimize control system performance.A system model including a double-chamber hydro-pneumatic suspension model,a 7-degree-of-freedom dynamic model and a model predictive controller is established,and the stiffness and damping are equivalent.The whale algorithm optimizes the controller weight matrix under various road excitations.It then builds the optimization algorithm model predictive controller.The semi-active hydro-pneumatic suspension based on whale algorithm optimization is compared and analyzed with passive hydro-pneumatic suspension and traditional model predictive control semi-active hydro-pneumatic suspension on different roads.The simulation results demonstrate that the proposed model predictive control strategy optimized by the whale algorithm significantly enhances the ride comfort and handling stability of mining trucks.It also effectively reduces the dynamic load impact on road surfaces,offering considerable engineering significance for efficient mining area operations.关键词
半主动油气悬架/矿用卡车/鲸鱼算法优化/模型预测控制Key words
semi-active hydro-pneumatic suspension/mining truck/whale algorithm optimization/model predictive control分类
机械制造引用本文复制引用
崔昊,杨霖,贝绍轶,汪若尘,高天立,王广嘉..工程矿卡半主动油气悬架的多目标优化与模型预测控制[J].液压与气动,2025,49(12):11-25,15.基金项目
国家自然科学基金(52504162,52172367) （52504162,52172367）
江苏省高等学校自然科学研究面上项目(22KJD440001) （22KJD440001）
常州市应用基础研究计划(CJ20220232) （CJ20220232）
