单筒式磁流变减振器多目标优化与试验研究

为了研究结构参数对磁流变减震器性能的影响。基于Pareto集多目标方法和NSGA-Ⅱ遗传算法,以阻尼力和动力可调系数为优化目标,设定7个优化变量,建立了车用磁流变减振器多目标优化模型与实现算法,分析了7个设计变量对阻尼力和动力可调系数的设计敏感性。通过试验得到不同条件下自制减振器输出阻尼力与减振器运动位移和速度的关系曲线。结果表明：参数优化后的减震器,在0A、速度最大时,复原力提高了15.7%,压缩力提高了36.8%；在3A、速度最大时,复原力提高了3.5%,压缩力提高了21.5%。验证了优化解的可靠性,为今后磁流变减振器的设计提供参考。

Multi-objective optimization and experimental study on the single-cylinder magnetorheological damper

In order to study the effect of structural parameters on the performance of magnetorheological damper. Based on Pareto set multi-objective method and NSGA-II genetic algorithm, it set the optimization variables with damping force and dynamic adjustable coefficient, and set seven optimization variables to establish a multi-objective optimization model and implementation algorithm for magnetorheological damper for vehicles. The sensitivity of seven design variables to damping force and dynamic adjustable coefficient was analyzed. By changing the speed of the damper and the magnitude of the load current, the output damping force of the self-made damper under different conditions was obtained. The results show that: the resilience increases by 15.7% and the compression force increases by 36.8% of parameter optimized damper in the case of 0A and the maximum velocity. the resilience increases by 3.5%, and the compression force increases by 21.5% of parameter optimized damper at 3A and the maximum velocity. The reliability of the optimized solution is verified and a reference is provided for the future design of the magnetorheological damper.