Genetic Algorithm Design for Parameter Optimization of Semi-active Suspension
There is a lack of data on the stiffness and damping values for the optimal performance of semi-ac-tive suspension in different vehicle speeds.taking the semi-active suspension with adjustable stiffness and adjust-able damping as the research object,a genetic algorithm to optimize the stiffness and damping of the semi-active suspension at the same time has been proposed.The algorithm uses the weighted sum of the maximum values of the evaluation index power spectral density amplitude frequency characteristics as the fitness function,optimizes the stiffness and damping parameters of the suspension in different speed,and the optimal solution of matching stiffness and damping of semi-active suspension with different emphasis on body acceleration and tire dynamic load performance is obtained.The results show that the solution of genetic algorithm can keep the amplitude and frequency characteristics of the power spectral density function of the evaluation index at a low value.It provides the optimal stiffness and damping data for the performance optimization of semi-active suspension under different vehicle speeds.
Road surface roughnessOptimize of semi-active suspensionGenetic algorithm
万方数据
维普
