Paper Title:
Air Suspension Optimal Control Based on the Genetic Algorithm
  Abstract

Taking the full-vehicle eight-freedom dynamic model of a type of bus as the simulation object , a new optimal control method is introduced. This method is based on the genetic algorithm, and the full-vehicle optimal control model is built in the MatLab. The weight matrix of the optimal control is optimized through the genetic algorithm; then the outcome is compared with the artificially-set optimal control simulation, which shows that the genetic-algorithm based optimal control presents better performance, thereby creating a smoother ride and improving the steering stability of the vehicle.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
1066-1071
DOI
10.4028/www.scientific.net/KEM.467-469.1066
Citation
Z. X. Li, J. W. Guo, M. H. Gao, H. Jiang, "Air Suspension Optimal Control Based on the Genetic Algorithm", Key Engineering Materials, Vols. 467-469, pp. 1066-1071, 2011
Online since
February 2011
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Price
$32.00
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