Parameter optimization of EPS system based on genetic algorithm

Wan Zhong Zhao, Guo Biao Shi, Yi Lin*, Pei Ji Shi, Qiang Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

According to the requirements of the electrical power steering (EPS) system in the pure electric power bus, a recirculating-ball type EPS system was developed. A model for the recirculating-ball type EPS system of the pure electric power bus and a 2-DoF complete bus model were built. The concepts of steering such as the road feeling, the sensitivity, and the operation stability were introduced. The EPS system parameters were optimized by a genetic algorithm based on the principle of the constrained optimization of the multivariated function. The simulation results show that the optimization of the EPS system parameters improves effectively the road feeling and the operation stability of steering.

Original languageEnglish
Pages (from-to)286-290
Number of pages5
JournalJilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
Volume39
Issue number2
Publication statusPublished - Mar 2009

Keywords

  • Electrical power steering (EPS) system
  • Genetic algorithm
  • Operation stability
  • Road feeling
  • Vehicle engineering

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Zhao, W. Z., Shi, G. B., Lin, Y., Shi, P. J., & Li, Q. (2009). Parameter optimization of EPS system based on genetic algorithm. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 39(2), 286-290.