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Design of a non-linear hybrid car suspension system using neural networks

Author

Listed:
  • Spentzas, Konstantinos
  • Kanarachos, Stratis A.

Abstract

A methodology for the design of active/hybrid car suspension systems with the goal to maximize passenger comfort (minimization of passenger acceleration) is presented. For this reason, a neural network (NN) controller is proposed, who corresponds to a Taylor series approximation of the (unknown) non-linear control function and the NN is due to the numerous local minima trained using a semi-stochastic parameter optimization method. Two cases A and B (continuous and discontinuous operation) are investigated and numerical examples illustrate the design methodology.

Suggested Citation

  • Spentzas, Konstantinos & Kanarachos, Stratis A., 2002. "Design of a non-linear hybrid car suspension system using neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 60(3), pages 369-378.
    • Handle: RePEc:eee:matcom:v:60:y:2002:i:3:p:369-378
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