Automobile Active Suspension System Optimization Design Based on Modified Multi-Objective Genetic Algorithm

Yi Zhang; Chao Lu; Hu Zhang

doi:10.4028/www.scientific.net/AMM.157-158.1515

Paper Titles

Research for Control System of Four-Axis Automatic Winding Machine
p.1483

Comparison and Evaluation of Lightweight Formats of 3D Models
p.1490

Improved GA Based Multi-LAVs’ Aerial Delivery Areas-Choosing Method
p.1498

A Study of Virtual Remote Laboratory and its Subsystem by Using Modelica
p.1506

Automobile Active Suspension System Optimization Design Based on Modified Multi-Objective Genetic Algorithm
p.1515

Study on Tensile Strength of Composite Double-Lap Joint
p.1519

Steady Data Acquiring and Robust Neutral Network Training for Boiler Combustion Optimization
p.1527

An Improved Airborne Single Observer Passive Location
p.1533

The Development of the GAT High Accuracy Magnetic Suspension Gyro Station and the Application on the Underground Engineering
p.1537

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 157-158Automobile Active Suspension System Optimization...

Automobile Active Suspension System Optimization Design Based on Modified Multi-Objective Genetic Algorithm

Abstract:

A dynamic model of automobile active suspension system is established, based on which a high dimension objective model for active suspension system is set up. And through linear combinations, high dimension multi-objective function is translated into a low dimension objective function. The modified NSGAII with single point compound crossover has been adopted to realize the optimization. In the paper, the performance active suspension system can realize integrated optimization. The results show that this way can effectively enhance effect of the automobile active suspension system.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 157-158)

Pages:

1515-1518

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.157-158.1515

Citation:

Cite this paper

Online since:

February 2012

Authors:

Yi Zhang, Chao Lu, Hu Zhang

Keywords:

Multi-Objective, Optimization, Single Point Compound Crossover, Suspension System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Hong Zhixiang, Wu Yihu, Shen Quntai. Integrated Optimization for Active Suspension Using Hybrid Genetic Algorithm [J]. Automotive Engineering, 2005, 27(3): 309-312.

Google Scholar

[2] Jiao Licheng, Shang Ronghua, Ma Wenping, etc. Multi-objective optimization immune algorithm, theory and application [M]. science press, (2005).

DOI: 10.1109/cec.2009.4983160

Google Scholar

[3] Zhang Yi, Xia Min-min, Qin Jin-yi and Zhang Hu. Research on Co-simulation Using ADAMS and MATLAB for Automobile Active Suspension System[C], 2010 International Conference on Computer Application and System Modeling(ICCASM2010)v14, 366-370.

DOI: 10.1109/iccasm.2010.5622268

Google Scholar

[4] Xue Dingyu, Chen Yangquan. MATLAB Solutions to Mathematical Problems in Control [M]. Tsinghua University Press, (2007).

Google Scholar

[5] Deb K, Kummar A. Light bean search based multi-objective optimization using evolutionary algorithms, Report No. 2007005. Kanpur: Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, (2007).

DOI: 10.1109/cec.2007.4424735

Google Scholar

[6] Deb K ，Pratab A, Agarwal S, et al. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-271.

DOI: 10.1109/4235.996017

Google Scholar