Research on Vibrating Control of 4-DOF Active Suspension with an Improved Fuzzy PID Controller
Xiang Chen, Guofang Li, Xincheng Liu
Abstract
Xiang Chen, Guofang Li, Xincheng Liu
Abstract
A half-vehicle model with 4-DOF was built up. In response to a nonlinear, time delay and uncertain system of vehicle suspension, an improved fuzzy PID controller of the active suspension was designed. Taken SANTANA2000’ s suspension parameter for simulation and taken a step function as the input of simulation road, time-domain simulation in Matlab was finished. The simulation result indicates that the ride comfort (such as vertical acceleration, dynamic flexibility of suspension and dynamic load of wheel) was improved obviously by using the active suspension with improved fuzzy PID controller. The time of response reach to steady state was shortened notably. The active suspension with improved fuzzy PID controller is superior to the passive suspension and the simple active suspension with fuzzy controller in improving the ride comfort and maneuverability. All of these advantages are of considerable referential values in development of vehicle’s active suspension controller.
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A half-vehicle model with 4-DOF was built up. In response to a nonlinear, time delay and uncertain system of vehicle suspension, an improved fuzzy PID controller of the active suspension was designed. Taken SANTANA2000’ s suspension parameter for simulation and taken a step function as the input of simulation road, time-domain simulation in Matlab was finished. The simulation result indicates that the ride comfort (such as vertical acceleration, dynamic flexibility of suspension and dynamic load of wheel) was improved obviously by using the active suspension with improved fuzzy PID controller. The time of response reach to steady state was shortened notably. The active suspension with improved fuzzy PID controller is superior to the passive suspension and the simple active suspension with fuzzy controller in improving the ride comfort and maneuverability. All of these advantages are of considerable referential values in development of vehicle’s active suspension controller.
Key concepts: Control theory (sociology), PID controller, Active suspension, Suspension (topology), Controller (irrigation), MATLAB, Fuzzy logic, Acceleration