Optimum design of half-car model suspension under stochastic vibration using minimum crossing threshold and Genetic Algorithm

In this paper, a half- car model which is excited by random road profile is analyzed by two different optimization methods. First, by means of minimum crossing threshold of acceleration and relative displacement which is achieved in stochastic analysis of the model in Fourier space, optimum values for suspension parameters are obtained. Second, the halfcar modeled in Simulink@MATLAB 7.6.0 and excited by stochastic input in time space for specific period of time. The statistical analysis of response, i.e. root mean square of acceleration and relative displacement is fed into Genetic Algorithm as multi objective functions to search for the optimum values of suspension parameters. The results of these two approaches are approximately similar and distinction is because of their types of excitation and also finite length of simulation time of GA1.

کلیدواژه ها:

Stochastic (random) vibration ، GeneticAlgorithm ، Half car model ، Optimization