Research on Suspension System Based on Genetic Algorithm and Neural Network Control
An active suspension system for vehicles using the genetic algorithms and neural network controls strategy is presented. A half car four degree of freedom suspension vibration model is described. Compared with the conventional passive suspension system, the analysis is done to the system control performance. The analysis of the system response is obtained through the change of the neural network training coefficients, genetic algorithms input functions and the change of velocity. The simulation results indicate that the vehicle vibration can be reduced and the ride comfort is improved by the proposed suspension systems.