关键词: 装载机, 驾驶室, 减振, 优化, 遗传算法

Abstract: Taking the vibration damping system of a loader cab as the research object， the problems of excessive cab vibrations and poor driving comfort were solved by optimization. Firstly， the measured frame vibration signals were used as the input excitation， and the nonlinear vibration damping system model of cab-seat-human body was simplified according to the actual structure of the cabs. The maximum root-mean-square values of vertical vibration acceleration of cab and seat outputs by the model and the actual vehicle test is less than 6%. Then， the root-mean-square values of vertical acceleration of cab and seat were taken as the objectives， and the genetic algorithm was used for multi-objective optimization. Finally， the optimization results were substituted into the model to verify the vibration reduction performance of cab and seat before and after optimization. The real vehicle tests show that the root-mean-square values of vertical acceleration of cabs are reduced as 16% and that of seat are reduced as 53% after improvement.

Key words: loader, cab, vibration reduction, optimization, genetic algorithm