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机构地区:[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082
出 处:《计算机仿真》2015年第8期180-184,共5页Computer Simulation
基 金:国家高技术研究发展计划(863计划)资助项目(2012AA111802)
摘 要:为了提高汽车侧倾刚度同时保证平顺性,建立车辆7自由度动力学模型,设计基于主动横向稳定杆和差动制动的模糊PID自适应集成控制算法。上述算法以实时的侧向加速度相关值做为触发控制系统的门限值,决定控制方法。建立以权衡侧倾稳定性和平顺性为目标以控制参数和门限值为变量的非线性高维模型(HDMR),用加入精英保持策略和去除重复个体的非支配排序遗传算法(NSGA-II)优化目标函数。并采用优化后得到的参数进行仿真,得到集成控制不但有效减小侧倾角,并且行驶平顺性也有显著提高。In order to ensure the car roll stiffness without lowering its comfort, this paper established a vehicle dy- namic model with seven degree of freedom (DOF). The fuzzy_PID controller was applied into the integrated control which equipped with active anti -roll bar (AARB) system and differential brake. The algorithm used a rear time lat- eral acceleration as the trigger to determined control method, h nonlinear approximate model, High Dimensional Model Representation (HDMR) was built, which takes threshold and control parameters as variables and target the roll stability and ride comfort. Then it was optimized with non - dominate sorting genetic algorithm ( NSGA - II) which was improved by adding elitist preserve strategy and removing duplicates individuals algorithm. Finally, theop- timization results were used to simulate this model. It shows that integrate control not only decreases roll angle effec- tively, but also increases riding comfort observably.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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