Parametric optimization for the design of passenger vehicle suspension system with the application of genetic algorithm

被引：0

作者：

Avesh M. ^{[1
]}

Srivastava R. ^{[1
]}

Sharma R.C. ^{[2
]}

机构：

[1] Dept. Of Mech. Engg, Motilal Nehru National Institute of Technology Allahabad

[2] Dept. Of Mech. Engg, Maharishi Markandeshwar University, Mullana

来源：

International Journal of Vehicle Structures and Systems | 2019年 / 11卷 / 02期

关键词：

Fitness function; Full car model; Genetic algorithm; Iterative approach; Shape filter method; White noise function;

D O I：

10.4273/ijvss.11.2.08

中图分类号：

学科分类号：

摘要：

In this paper an improved suspension system of a four-wheel vehicle is designed to minimize the vehicle floor vibrations. A seven degree-of-freedom full car model of vehicle system is modelled using the linear approach and is excited under the uncertain road inputs approximated by the white noise function. Vehicle acceleration in bounce, pitch and roll along with suspension displacement are the multiple parameters blended into single objective function to be minimized through proper allocation of weightages to each sub-objective based on real implications. The modified suspension system with optimum parameters results in improvement in the dynamic characteristic. Computer simulation through MATLAB-Simulink is providing an approximate solution against expensive and time taking experimentation. © 2019. MechAero Foundation for Technical Research & Education Excellence.

引用

页码：154 / 160

页数：6

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