Vehicle active suspension with four-degrees of freedom of optimizing the value of K based on genetic algorithm

摘要

A vehicle active suspension model with 1/2, four-degrees of freedom is established and by combining genetic algorithm with optimal control theory, the author presents a new control method of active suspension that is to optimize the value of K controlled by LQG in default of road input based on genetic algorithm and makes a simulation in the environment of Matlab/Simulink. By simulation and analysis, the result indicates that, this method has an obvious effect on improving comprehensive performance of vehicles, such as ride comfort and operate stability and so on.