Optimization Design Of Powertrain Double-layer Vibration Isolation System Based On Indent Robust Model

Optimization design of powertrain double-layer vibration isolation system(DVIS)involves vibration isolation parameters of vibration isolation elements,therefore,good design of vibration isolation parameters can effectively reduce vibration and noise in the operation of mechanical systems and improve the safety and comfort of the vibration isolation system.At present,many literatures use the deterministic parameters and models of vibration isolation system for research,however,in actual projects,there are many uncertainties in machining,manufacturing,and installation,at the same time,external interference will affect the optimization variables,constraints,and optimization objective function of DVIS,which cause the result of the optimization design based on the deterministic model deviates from the actual project,and seriously affect the effectiveness of optimization design of DVIS.In order to make the powertrain double-layer vibration isolation system as close as possible to the actual operation,we need to analyze the influence of parameter variation on vibration isolation performance of vibration isolation system,and robust optimization design of parameter that improve the overall performance of DVIS.This article takes the double-layer vibration isolation system of the internal combustion vehicle powertrain as the research object,robust optimization design is carried out based on the model.The paper firstly select rapid perturbation method to analysis the influence of internal combustion engine piston mass error,crankshaft included angle error,rotary mass error,power correction error,vibration isolator stiffness,vibration isolator damping,vibration isolation device mass,and vibration isolation device inertia on excitation force,inherent characteristics and forced vibration characteristics of vibration isolation system.Studies have shown that in order to improve the vibration isolation performance and robustness of the powertrain doublelayer vibration isolation system,needing to strictly control the error range of the vibration inertial device inertial and vibration isolator stiffness parameters,and actively control to reduce the exciting force.Then the paper has made two improvements that include normalization and two-level optimization on selection?crossover and mutation of NSGA-III.Conbining the characteristics of the optimized objective function shows that a large difference in the magnitude of the objective function will affect the ability of the comparison operator to select different schemes in the optimization algorithm;With the increase of optimal algebra,excellent individuals willcontinue to produce.The initial value of the crossover coefficient is larger,that can destroy the retention of excellent genes,therefore,the algorithm is partially modified to improve its applicability;Using examples to compare the optimization effects of the proposed e-indented robust model,traditional robust model,weighted coefficient robust model and 6sigma robust model.Verify the effectiveness and superiority of this method;Pareto solution set after multiobjective optimization,this section proposes a search algorithm for optimal potential solutions—an automatic optimization method,which make it easy for engineers to design.According to the influence of the three-way stiffness variation of the first and second stage vibration isolator on the vibration isolation performance of the double-layer vibration isolation system,summarize the constraints of the stiffness parameter,which determined the initial design of this chapter;This chapter establishes the general dynamic model of the powertrain double-layer vibration isolation system.The three-way stiffness of two-stage vibration isolator is a normal random design variable in the range of stiffness variation,This chapter takes the mean and standard deviation of a1 decoupling,comprehensive decoupling,dynamic response of variable working conditions,vibration intensity of variable working conditions as the objective function,and make determinations and robust optimization designs.The robust optimization design uses the e-indented robust model for modeling,that combine high-dimensional multi-objective genetic algorithm for optimal design to obtain Pareto solution set,finding the best design scheme using automatic swift algorithm;A comparative analysis of the robustness of robust design schemes and certain design schemes,the results show that the integrated vibration isolation performance change rate of the robust design scheme is less than 3%,but robustness increased by 94.5%,make up for the lack of certainty program.Finally,in order to be able to rapidly perform robustness analysis and parameter optimization design of the vibration isolation performance of the powertrain double-layer vibration isolation system,developing software with corresponding functions.The software has the following main features: Targeted,more comprehensive analysis,Software interface has good interactivity,simple operation,easy to use personnel,which greatly improves the efficiency of optimization design of vibration isolation system,has a certain engineering application value.In summary,this work can not only be applied to the robust optimization design and analysis of power package double-layer vibration isolation system,can also provide reference for other similar systems,the proposed e-indented robust model construction method and automatic optimization algorithm can also be used for the optimal design of other systems...