基于Taguchi改进算法的脱水机悬挂系统参数优化研究

Parameters Optimization Research of Vibration Suspension System of Dehydrators based on Taguchi Improved Algorithm

高速脱水机减振悬挂系统是其工作状态下抑振性能的基本保证,其中悬挂系统参数的波动更是直接影响高速脱水机的抑振效果。利用高速脱水机的动力学模型建立其筒体振幅的响应面模型,以该响应面模型为优化目标,悬挂系统参数为优化对象,分别采用传统遗传算法和基于Taguchi改进方法的混合遗传算法进行参数优化。对两种优化方法应用蒙特卡洛法进行算法分析。基于优化结果,开展高速脱水机多工况筒体振动试验研究,并进行对比验证。结果表明,基于Taguchi改进方法的混合遗传算法具有更优的精确性和稳健性,对于工程应用具有指导意义。

The vibration damping suspension system of the high speed dehydrator is the basic guarantee of its vibration suppression performance,and the fluctuation of the suspension system parameters directly affects the vibration suppression effect of the high speed dehydrator.Based on the dynamic model of the high speed dehydrator,the response surface model for the barrel amplitude analysis is established.With the response surface model as the optimization target,the parameters of the suspension system are optimized by using the traditional genetic algorithm and hybrid genetic algorithm based on the Taguchi improved method respectively.Monte Carlo method is applied to analyze the two optimization methods.Based on the optimization results,the vibration test of the high speed dehydrator under various operating conditions is carried out.The computation results are compared with those of the test.The results show that the hybrid genetic algorithm based on Taguchi improvement method has better accuracy and robustness,and has guiding significance for engineering applications.