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基于遗传算法的MR减振器多目标优化设计 被引量:3

Multi-objective Optimization Design of a Magnetorheological (MR) Fluid Damper Using a Genetic Algorithm
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摘要 作为车辆半主动悬架系统中的关键元件,磁流变减振器既需要良好的动力学特性,又需要良好的系统响应和低功耗特性,但目前大多数设计仅仅以其中某一项为目标,很难得到综合性能满足要求的磁流变减振器。笔者综合考虑了MR减振器实车应用中对动力性能、响应速度及能耗的要求,提出了基于遗传算法的多目标优化设计方法,并讨论了MR减振器励磁电流和线圈匝数对响应时间和能耗的影响。参考捷达轿车后减振器的要求,应用多目标设计方法设计、制造了一款MR减振器样品,并进行了台架试验。试验结果与设计目标能较好的吻合,证明该设计方法是正确有效的。 As a key actuator in the semi-active suspension system,the MR damper is required a good dynamic performance,system response and low power consumption,but the majority of the design methods only focused on one of the requirements. In this paper,a multi-objective optimization design method based on genetic algorithm was used to solve the problem. We also discussed how the input current and coil turns affected the response time and power consumption of the damper. According to the requirements of Jetta vehicle' s rear shock absorber,a MR damper was designed and manufactured by using the method. The damper was tested on the bench. The experimental results show that the design method is correct and effective.
出处 《机械科学与技术》 CSCD 北大核心 2010年第11期1450-1455,共6页 Mechanical Science and Technology for Aerospace Engineering
基金 浙江省重大科技攻关项目(2004C11029)资助
关键词 磁流变减振器 多目标优化 遗传算法 试验研究 magnetorheological (MR) fluid damper multi-objective optimization genetic algorithm experimental study
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参考文献7

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