Air Suspension Optimal Control Based on the Genetic Algorithm

Zhong Xin Li; Ji Wei Guo; Ming Hong Gao; Hong Jiang

doi:10.4028/www.scientific.net/KEM.467-469.1066

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Air Suspension Optimal Control Based on the...

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.

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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

1066-1071

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.1066

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Online since:

February 2011

Authors:

Zhong Xin Li, Ji Wei Guo, Ming Hong Gao, Hong Jiang

Keywords:

Air Suspension, Drive Comfort Test, Genetic Algorithm (GA), Optimal Control

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