摘要
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0.521 0 m/s2下降为0.418 3 m/s2,降幅达19.7%,减振系统动态性能得到了明显改善。
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. 5210 m / s2 to 0. 4183 m / s2 with a 19. 7% drop,the dynamic performance of the vibrationreduction system is improved significantly.
出处
《振动与冲击》
EI
CSCD
北大核心
2015年第5期168-173,共6页
Journal of Vibration and Shock
关键词
参数辨识
改进的分块增维精细积分法
NSGA-Ⅱ算法
Sobol’法
动态性能优化
parameter identification
improved partitioning and dimensional increment precise integration method
NSGA-Ⅱmethod
Sobol＇ method
dynamic performance optimization
作者简介
杨猛 男，博士生，1989年2月生
通信作者 徐新喜 男，博士，研究员，博士生导师，1965年生
