Signal Acquisition and PID Semi-active Suspension Control Based on Kalman filter
In order to improve the acquisition accuracy of semi-active suspension signal and the control effect of semi-active suspension,the comfort and ride comfort of vehicle are improved.In this paper,Matlab\Simulink is used to simulate,through the construction of two-degree-of-freedom passive suspension model and road excitation model,Kalman filter(KF)is used to denoise the collected vehicle acceleration signal,and the filtering effect of Kalman filter is verified by comparing the real value with the filtering estimate.A two-degree-of-freedom semi-active suspension model was established,and the Kalman filtered signal was input into the proportional integral-differential controller(PID)to output the control force of the semi-active suspension,and the variation of the performance parameters of the semi-active suspension was analyzed.The simulation results show that Kalman filter can effectively reduce the influence of noise on the acquired signal.The performance parameters of the semi-active suspension with Kalman filter and PID control are improved in different degrees,which makes the PID control effect on the semi-active suspension better and increases the comfort of the vehicle.
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