Modeling And Simulation On Vehicle Semi-active Suspension Based On ADAMS And MATLAB

The suspension system is an important component of vehicle, which is the power transmission junction device between the wheel and the vehicle chassis, used to reduce the impact of external disturbance on vehicle, it combines a variety of forces, and determines the ride comfort and handling stability of vehicle. It is difficult to completely achieve the performance of semi-active suspension system by using the traditional control theory and method. The fuzzy-PID controller is a kind of new controller which combines the advantages of PID controller with high precision, easy to adjust and fuzzy controller with good flexibility, strong adaptability, so it is suitable for vehicle semi-active suspension system control. The determination of fuzzy control rules, which is the core of the fuzzy-PID control and largely depends on the expert experience, is a complex optimization process. Genetic algorithm has strong global optimization ability, it is very suitable for solving the problem of fuzzy control rules.Taking a quarter vehicle semi-active suspension system as the research object, the paper proposed the semi-active suspension system model that is controlled by the fuzzy-PID controller based on genetic algorithm to get good ride comfort and handling stability. First,1/4vehicle semi-active suspension system mechanical model was established in ADAMS/View. ADAMS/Control was used to realize the communication between MATLAB and ADAMS. The fuzzy-PID controller is designed in MATLAB/Simulink by taking the vertical speed e and the body vertical acceleration ec as the input, and the adjustable damping force/of semi-active suspension system as the output, the fuzzy control rules is optimized by the genetic algorithm. Finally, the simulation analysis was carried out on the system.1) As the amplitude of A=0.02m and A=0.07m respectively, sine swept simulations with the frequency from0.1to30Hz were carried out. The validity of the established model and the controller was verified by compared the simulation results with the passive suspension.2) Taking vehicle at a speed of50km/h in class B and vehicle through the speed bumps as the road input, the simulation of passive suspension, semi-active suspensions controled by PID control, GA pre-optimized and optimized fuzzy-PID control were conducted, the simulation results verified that GA optimized fuzzy-PID controller have better ride comfort and handling stability in continuous vibration and transient impact road input.3) System simulations under the same road at different speeds and under different road grades at the same speed were carried out, it further verified that the design of fuzzy-PID controller optimized by genetic algorithm was effective and superiority.In sum, the fuzzy-PID controller based on GA enhanced the performance of the vehicle semi-active suspension system, especially in ride comfort and handling stability.