Air Suspension Optimal Control Based on the Genetic Algorithm

Abstract:

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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 et al., "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:

$35.00

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