基于鱼群算法的永磁体-电磁阀式磁流变阻尼器半主动悬架系统

发布时间：2018-08-29 09:26

【摘要】：为了提高汽车悬架系统工作性能,对磁流变阻尼器半主动悬架控制系统进行了研究。首先,基于磁流变阻尼器工作原理,将永磁体与电磁阀引入其中,设计新型磁流变阻尼器并建立了仿真模型,示功特性试验结果表明,所设计的新型阻尼器可以满足汽车悬架的使用要求,同时,速度特性试验表明所建立的阻尼器模型具有较高的可信度;其次,基于牛顿定律建立了7自由度整车悬架模型;为了提高悬架控制效果,在对常规鱼群算法进行改进的基础上,设计了适合汽车悬架系统最优控制器的鱼群算法,实现了两者的集成控制;最后,进行了仿真试验。试验结果表明,与被动悬架相比,基于鱼群最优控制算法控制的汽车车身质心垂直加速度、俯仰角加速度、侧倾角加速度分别减小了38.95%、35.12%、35.98%,有效地提高了汽车的动力学性能。
[Abstract]:In order to improve the performance of automobile suspension system, the control system of magnetorheological damper semi-active suspension is studied. Firstly, based on the principle of magneto-rheological damper, permanent magnet and solenoid valve are introduced into it, a new type of magneto-rheological damper is designed and a simulation model is established. The designed damper can meet the requirements of the vehicle suspension, and the speed characteristic test shows that the damper model has high reliability. Secondly, based on Newton's law, the whole vehicle suspension model with 7 degrees of freedom is established. In order to improve the control effect of suspension, on the basis of improving the conventional fish swarm algorithm, a fish swarm algorithm suitable for the optimal controller of vehicle suspension system is designed, which realizes the integrated control of both. Finally, the simulation experiment is carried out. The experimental results show that compared with passive suspension, the vertical acceleration of body mass center, the acceleration of pitch angle and the acceleration of roll angle based on the optimal control algorithm of fish swarm reduce the acceleration of vehicle body by 38.95%, 35.12% and 35.98, respectively, and effectively improve the dynamic performance of the vehicle.
【作者单位】：嘉兴学院机电工程学院;安徽工程大学机械与汽车学院;
【基金】：国家自然科学基金资助项目(51575001 浙江省公益性技术项目(2016C31051) 安徽省高校自然科学研究重点项目(KJ2016A799) 嘉兴市科技计划重点工业项目(2016AY13003)
【分类号】：TP18;U463.33

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