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汽车半车主动悬架系统模型降阶研究 被引量:2

Study on Model Reduction for Half-Vehicle Active Suspension System
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摘要 研究汽车悬架系统是复杂的物理系统,为保证悬架控制系统性能得到优化,针对优化设计控制器技术改进。如何用尽可能简单的数学模型加以实现。提出用四自由度半车悬架系统建立其动力学状态空间模型,为改善系统的性能,采用最优控制方法设计输出反馈最优控制器得到悬架闭环控制系统。应用模态截取法、均衡截取法对原高阶控制系统的数学模型进行降阶研究。结果表明均衡截取法能获得更好的降阶效果,原系统模型阶数能够被较大程度地降低,通过MATLAB/S imu-link仿真证明所得到的低阶控制系统能获得与全阶控制系统相近似的闭环控制性能,并使系统提高优化效果。 Vehicle suspension system is a kind of complex mechanical systems.How to describe it by mathematical model as simple as possible is a problem which needs to be solved.In this paper,the state-space model is firstly built based on the 4-DOF(degree-of-freedom) suspension system.In order to improve the performance of this system,the LQG method is then utilized for the design of the output-feedback optimal controller.Next,the modal truncation method(MT) and the balanced truncation method(BT) are applied for the order-reduction study of the obtained high-order control system's model.The results based on the study show that the BT can obtain better order-reduction effect,and also that the order of the high-order control system model can be significantly reduced.Finally,the simulation results from MATLAB/Simulink demonstrate that the low-order control system has the similar control performance with the full-order one.
出处 《计算机仿真》 CSCD 北大核心 2011年第6期335-338,374,共5页 Computer Simulation
基金 合肥工业大学科学发展基金项目-基于驾驶行为及意图的汽车主动安全系统研究(2009HGXJ0088)
关键词 悬架 最优控制 模型降阶 仿真 Suspension Optimal control Model reduction Simulation
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参考文献8

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共引文献16

同被引文献15

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