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Pareto-optimal of Suspension Parameters for Multi-objective Optimization

Author: RaoJiang
Tutor: XuCangSu；HuShuGen；SongXiaoWen
School: Zhejiang University
Course: Vehicle Engineering
Keywords: Pareto optimal Multi-objective optimization Main objective method Weighted sum method Suspension
CLC: U463.33
Type: Master's thesis
Year: 2010
Downloads: 219
Quote: 1
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Abstract


Multi-objective optimization problem is considered in the optimization process to optimize the objective function is not a single, but there is more than one objective function. Under normal circumstances, between the objective function is conflicting, so there is no all objective function can simultaneously achieve optimal absolute optimal solution can only be obtained \requirements from which selected a satisfactory solution as a final solution. Suspension Parameters Optimization the suspension performance evaluation body vertical acceleration and suspension dynamic travel is a set of conflicting objective function, if the traditional single-objective optimization or multi-objective optimization optimal solution is only a partial optimal. Therefore, Pareto optimal applied to the suspension parameter optimization study of suspension parameters objective optimization problem in each objective function between the Pareto optimal solution set. Pareto optimal solution set different parameters balance objectives and constraints relations. Based Pareto optimal set Pareto optimal solution corresponding suspension parameters (such as suspension stiffness, damping), the design can be obtained according to the design requirements. Studies have shown that the method can be well applied to optimize the design of semi-active and active suspension. The main content of this study include: 1. Analysis discussion suspension system multi-objective optimization problem, the research and application of multi-objective optimization theory applied to multi-objective Pareto optimal suspension parameters optimization based on. Pareto front obtained by numerical simulation method, combined with the traditional method to optimize the results of comparative analysis, to verify the superiority of the method. 2. Establish half car four degree of freedom of the equations of motion and its MATLAB model, random road excitation applied to the model. The main objective of the method, the weighted and law traditional optimization methods Suspension Parameters Optimization analysis, and proposed a new weighting coefficients. 3.Select body vertical acceleration, body pitch acceleration, the suspension dynamic travel as a the suspension parameters multi-objective optimization of three objective function. Using a combination of numerical simulation the m language program with the SIMULINK model, the relationship between the different suspension parameters corresponding objective function value as well as the objective function. Based on the concept of Pareto optimal solution, by programming the Pareto optimal solution set of acquisition, and be part of the Pareto optimal solution corresponding suspension parameters. Further, based on unconstrained Pareto optimal solution, by analyzing the improvement constrained Pareto optimal solution.

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CLC: > Transportation > Road transport > Automotive Engineering > Automotive structural components > Travel System > Suspension
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