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作 者:李刚[1,2] 顾瑞恒 徐荣霞 胡国良 欧阳娜[3] 徐明 LI Gang;GU Ruiheng;XU Rongxia;HU Guoliang;OUYANG Na;XU Ming(Nanchang Key Laboratory of Vehicle Intelligent Equipment and Control,East China Jiaotong University,Nanchang 330015,China;Key Laboratory of Conveyance and Equipment,Ministry of Education,East China Jiaotong University,Nanchang 330013,China;Jiangxi Traffic School,Nanchang 330015,China)
机构地区:[1]华东交通大学南昌市车辆智能装备与控制重点实验室,南昌330013 [2]华东交通大学载运工具与装备教育部重点实验室,南昌330013 [3]江西省交通技工学校,南昌330015
出 处:《噪声与振动控制》2021年第4期129-136,共8页Noise and Vibration Control
基 金:国家自然科学基金资助项目(51765016);江西省重点研发计划资助项目(20192BBEL50012);江西省主要学科学术和技术带头人资助项目(20162BCB22019);江西省创新驱动5511科技创新人才资助项目(20165BCB1801)。
摘 要:为提升车辆行驶舒适性,提出一种半主动悬架模糊LQG(Linear-quadratic-Gaussian control)控制策略。对磁流变阻尼器(Magnetorheological Damper,MRD)进行力学特性测试,并建立改进双曲正切模型,利用试验数据采用遗传算法对力学模型进行参数辨识,从而得到可以用于准确描述MRD非线性特性的数学模型。建立1/4车辆悬架模型,设计模糊LQG控制策略,在正弦激励及随机路面激励条件下进行数值仿真,根据车身加速度、悬架动挠度及轮胎动载荷3个指标进行性能评价。与被动悬架控制和模糊控制效果相比,结果表明,模糊LQG控制策略使半主动悬架各评价指标的均方根值均明显降低,基于模糊LQG控制的半主动悬架具有更好的减振性能,能有效提升悬架性能。In order to improve the driving comfort of vehicles,a fuzzy LQG control strategy of semi-active suspensions is proposed.The mechanical characteristics of the magnetorheological damper(MRD)is tested.An improved hyperbolic tangential model is established.Based on the test data,the genetic algorithms is used to identify the parameters of the mechanical model,so as to obtain an accurate description of the nonlinear characteristics of the MRD mathematical model.A quarter of vehicle suspension model is established,and a fuzzy LQG control strategy is designed.Through numerical simulation under sinusoidal excitation and random road excitation,the performance of the vehicle suspension is evaluated from three indicators of vehicle body acceleration,suspension dynamic deflection and tire dynamic load.Compared with the effects of passive suspension control and fuzzy control,it is shown that the root mean square value of the semi-active suspension evaluation index of fuzzy LQG control is significantly reduced,and the semi-active suspension controlled by fuzzy LQG has better damping performance.And the suspension performance is effectively improved.
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