基于改进粒子群-禁忌搜索算法的悬置系统优化设计

OPTIMAL DESIGN OF SUSPENSION SYSTEM BASED ON IMPROVED PARTICLE SWARM-TABOO SEARCH ALGORITHM

针对某款越野车在怠速工况下发动机悬置系统隔振效果不理想,以曲轴中心线和第一个气缸后端面为原点建立了发动机悬置系统的动力学模型。并针对悬置系统固有频率和振型的求解采用了乔里斯基分解法结合雅克比法的求解方法,同时提出改进粒子群-禁忌搜索优化算法以系统主要激励力方向的解耦率为优化目标,对悬置系统进行了优化,优化后悬置系统主要方向的解耦率得到提高。最后采用Adams对优化后的悬置系统的固有频率和能量分布进行了验证分析,进一步验证了优化方法的可行性。

Aiming at the problem that the vibration isolation effect of the engine mount system of an off-road vehicle is not ideal under idling condition,a dynamic model of the engine mounting system is established with the crankshaft center line and the rear end face of the first cylinder as the origin. In order to solve the natural frequency and mode shape of the suspension system,the method of combining the jorisk decomposition with the Jacobian method is used. At the same time,the suspension system is proposed by the improved particle swarm optimization tabu search optimization algorithm with the decoupling rate of the main direction of the system excitation force as the optimization goal. After optimization,the decoupling rate of the main direction of the suspension system is improved. Finally,ADAMS is used to verify and analyze the natural frequency and energy distribution of the optimized mounting system,which further verifies the feasibility of the optimization method.