多目标差分进化算法在轴系全息动平衡中的应用

摘要

when the conventional holo-balancing method balances the rotors, only using the sum of residual vibration square as the standard to evaluate the effect of balancing which the effect is limited to the balancing area and accuracy.To solve the problem above, this paper uses different dimensions of standard benchmark test functions to verify the superiority of the differential evolution algorithm,and research on the principle of differential evolution algorithm to optimize counterweight, fusion simulated annealing algorithm factors to increase optimization capacity.Using this algorithm to optimize holographic fields balancing and integrating the maximum ,uniformity and sum of square of residual vibration residual vibration squares and residual vibration to establish evaluation function to evaluate the status of the fields balancing with multiple targets.The effectiveness of the proposed method is verified by a practical balancing application.%传统全息动平衡方法对转子进行动平衡时,仅以残余振动平方和作为标准对平衡效果进行评价,平衡效果受到平衡面和平衡精度及效率的约束.文章利用不同维度的标准benchmark测试函数验证了差分进化算法的优越性,研究了差分进化算法配重优化的原理,融合模拟退火因子提高算法的寻优能力,利用该算法对轴系进行全息动平衡优化,综合残余振动平方和、残余振动极值及残余振动均值等多个目标建立评价函数对轴系动平衡状况进行评价,通过实验验证了该方法的轴系动平衡效果良好.