Design of active suspension based on genetic algorithm

Control algorithms are developed for force control in an active vehicle suspension design using genetic algorithms with quarter-car model. Force cancellation, virtual damper, skyhook damper, and road-following concepts are proposed to design the force controller for achieving better ride and handling quality. Genetic algorithms are employed to obtain a more effective search for optimum control parameters. Computer simulations are performed to verify the proposed control scheme. It is shown both ride comfort and handling quality is greatly improved without exceeding the suspension stroke constraints.