基于OHNR法的汽车主动悬架降阶控制器设计及仿真  

Design and Simulation of Order-reduction Controller for Vehicle Active Suspension System Based on OHNR Method

作　　者：韩天龙[1] 李志伟[2] 

机构地区：[1]杭州职业技术学院,杭州市310018 [2]天津职业技术师范大学,天津市300222

出　　处：《中国农机化》2012年第6期176-179,共4页Chinese Agricul Tural Mechanization

基　　金：浙江省教育厅科研计划项目(Y201122582)

摘　　要：基于整车模型设计的主动悬架控制系统,其控制器阶数较高。为了降低控制器的阶数而不影响主动悬架闭环系统的性能,本文首先介绍了目前常用的降阶方法,并建立了汽车7自由度整车悬架模型;然后针对人体敏感的振动频率范围,设计了汽车主动悬架鲁棒控制器;最后在此基础上采用OHNR(Hankel范数最优降阶)法对所设计的高阶控制器进行降阶研究及仿真。仿真结果显示可将20阶控制器降至8、9阶而不造成闭环控制效果的较大损失。The active suspension control system based on the full-vehicle model always has a high-order controller.In order to reduce the order of controller and preserve the performance of closed-loop system,in this paper,some order-reduction methods are introduced and a state-space model for a 7-DOF full-vehicle active suspension system is built;A robust controller is designed by considering the sensitivity of human to vibration;At last,the OHNR（optimal Hankel-norm reduction） method is utilized in the study of order-reduction for the designed high-order controller.The simulation results show： the orders of controller can be declined from 20 to 8 or 9,and the performances of closed-loop system are not obviously degraded.

关 键 词：控制理论 降阶 Hankel范数 鲁棒控制 主动悬架 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]