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Fuzzy multi-objective optimization of passive suspension parameters

Author

Listed:
  • Chong-zhi Song

    (Nanjing University of Aeronautics and Astronautics)

  • You-qun Zhao

    (Anhui University of Technology)

Abstract

The paper proposed a systematic and effective optimization process to optimize a 3-D vehicle suspension dynamic model with eight DOF, including seat vertical motion, suspension vertical, pitching and rolling motions and wheels vertical motions using fuzzy optimization, to attain the best compromise between ride comfort and vehicle-generated road damage. The results show a substantial improvement in the vertical ride quality is obtained while keeping the suspension deflections within their allowable clearance when the vehicle moves at a constant velocity v = 20m/s, and the comfort performance of a suspension seat can be considerably enhanced.

Suggested Citation

  • Chong-zhi Song & You-qun Zhao, 2010. "Fuzzy multi-objective optimization of passive suspension parameters," Fuzzy Information and Engineering, Springer, vol. 2(1), pages 87-100, March.
    • Handle: RePEc:spr:fuzinf:v:2:y:2010:i:1:d:10.1007_s12543-010-0039-4
    DOI: 10.1007/s12543-010-0039-4
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    Cited by:

    1. H. Mishmast Nehi & A. Drayab, 2013. "Duality theorems in fuzzy optimization problems," Fuzzy Information and Engineering, Springer, vol. 5(1), pages 87-98, March.

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