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Experimental study on shock control of a vehicle semi-active suspension with magneto-rheological damper

During driving process, the impact from the road, such as pothole or bump can deteriorate the performance of the vehicle, and increase the driving dangerousness and health risk of drivers/passengers due to high energy and short time. The magneto-rheological (MR) intelligent suspension plays an important role in improving the ride comfort of vehicle, which can reduce the impact transmitted from the road. In consideration of different impact application induced by different driving speed, an adaptive skyhook control (ASC) based on improved Genetic Algorithm (GA) is proposed in this paper. Vibration dose value (VDV) of vertical acceleration of floor at driver’s position is selected as the object function for improved GA to obtain the optimal skyhook gain coefficients under different driving speeds. And then the adaptive law is formulated by using table lookup method. The road test for the B segment car installed with MR dampers is undertaken to verify the effectiveness of the designed controller. The experimental results demonstrate that the reduction of VDV and peak value of vertical acceleration with ASC is always more than that with traditional skyhook controller. Results indicate that the energy spectrum density amplitude of using ASC algorithm is lower than that with skyhook controller, when the driving speed is less than or equal to 30 km h−1.