履带急救车非线性减振系统动态性能优化

摘要

For the dynamic performance optimization of a tracked ambulance nonlinear vibration-reduction system under random excitation,a new multi-objective parameter identification method based on the improved partitioning and dimensional increment precise integration method and NSGA-Ⅱ method was proposed to identify the parameters of the tracked ambulance nonlinear vibration-reduction system.The Sobol'method was used to study the global sensitivity of the parameters with respect to the system output.And then,the dynamic performance was optimized by using genetic algorithm.The optimization results showed that the root mean square value of the stretcher base's weighted vertical acceleration reduces from 0.5210m /s2 to 0.4183m /s2 with a 19.7% drop,the dynamic performance of the vibration-reduction system is improved significantly.%针对履带急救车非线性减振系统在随机激励下的动态性能优化问题，首先提出了一种基于改进的分块增维精细积分法和 NSGA －Ⅱ算法的多目标参数辨识方法，对履带急救车非线性减振系统进行了参数辨识；然后，应用Sobol’法分析了减振系统各物理参数对系统输出的全局灵敏度；最后，应用遗传算法对减振系统进行了动态性能优化。结果表明：经过优化，担架台垂向振动加权加速度均方根值由原来的0．5210 m／s2下降为0．4183 m／s2，降幅达19．7％，减振系统动态性能得到了明显改善。