装甲车辆座椅非线性随机振动的最优半主动控制  

Optimal semi-active control for nonlinear random vibration of armored vehicle seat

作　　者：胡凌俊 刘彬[2] 宦荣华[1] 朱位秋[1] 刘岩 HU Lingjun;UU Bin;HUAN Ronghua;ZHU Weiqiu;LIU Yar^(College of Aeronautics and Astronautics,Zhejiang University,Hangzhou 310027,China;China Electric Power Research Institute,Beijing 100192,China;Zhejiang Provincial Electric Power Co,Ltd,State Grid,Hangzhou 310000,China)

机构地区：[1]浙江大学航空航天学院,杭州310027 [2]中国电力科学研究院,北京100192 [3]国家电网浙江省电力有限公司,杭州310000

出　　处：《振动与冲击》2020年第23期220-224,共5页Journal of Vibration and Shock

基　　金：国家自然科学基金(11432012;11772293;11621062);国家电网科技项目(SGZJ0000KXJS1700394)。

摘　　要：装甲车辆在崎岖路面上行驶时,其内部座椅在随机载荷作用下产生剧烈振动,严重影响乘员的乘坐舒适度,因此需对座椅的随机振动加以控制。旨在研究装甲车辆座椅非线性随机振动的最优半主动控制方法。首先,以装甲车辆座椅系统为研究对象,建立装甲车辆座椅的非线性随机动力学模型。接着,应用随机平均法和随机动态规划原理给出了最优半主动控制力的具体形式,得到了座椅系统在未控状态和受控状态下稳态响应的概率密度、均方值等统计量,最后通过数值模拟验证了理论方法的正确性。结果表明在受控状态下,该控制策略对稳态响应均方值的控制效果达到了85.0%,具有良好的减振效果。When an armored vehicle drives on rough roads,its inside seat has violent vibration under random loads to significantly affect the comfort of crew members.Thus,it is of great importance to develop effective strategies for controlling seat random vibration.Here,an optimal semi-active control for nonlinear random vibration of armored vehicle seat was proposed.Firstly,the seat system of armored vehicle was taken as the study object,and its nonlinear stochastic dynamic model was established.Then,the stochastic average method and the random dynamic programming principle were applied to deduce the concrete form of the optimal semi-active control force.The statistics of the seat system steady-state response including probability density and mean square value,etc.under controlled and uncontrolled states were obtained.Finally,the correctness of the proposed method was verified with numerical simulation.Results showed that under controlled state,the control effect of the proposed control strategy on the mean square value of the seat system steady-state response reaches 85.0%,it has a good vibration reduction effect.

关 键 词：随机振动 非线性系统 磁流变阻尼器 最优控制 

分 类 号：O324[理学—一般力学与力学基础] V414[理学—力学]