The right suspension system can significantly improve a vehicle’s ride comfort. A correctly selected damper should be able to absorb high doses of energy resulting from road irregularities. However, if the amount of energy absorbed is too high, it can cause the wheels to lift off the road. Consequently, there are two conflicting criteria for damper selection. Furthermore, the best damping coefficient that satisfies both criteria depends on the mass of the vehicle. The article presents the control algorithm of the damping coefficient depending on the amount and frequency of vibrations and on the parameter describing the driving safety. Thanks to fuzzy logic there is a possibility of control with exploration of antagonistic criteria. The algorithm of the coefficient control was presented on the example of the magneto-electric shock absorber. The mathematical model of the shock absorber and its control was implemented in the Matlab programme using the Simulink and Fuzzy Logic software libraries. The results of the simulation prove the effectiveness of the control using fuzzy logic in a wide range of road profiles.

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Exploring Fuzzy Logic for the Semi-active Suspension System Control

  • Waldemar Sradomski

摘要

The right suspension system can significantly improve a vehicle’s ride comfort. A correctly selected damper should be able to absorb high doses of energy resulting from road irregularities. However, if the amount of energy absorbed is too high, it can cause the wheels to lift off the road. Consequently, there are two conflicting criteria for damper selection. Furthermore, the best damping coefficient that satisfies both criteria depends on the mass of the vehicle. The article presents the control algorithm of the damping coefficient depending on the amount and frequency of vibrations and on the parameter describing the driving safety. Thanks to fuzzy logic there is a possibility of control with exploration of antagonistic criteria. The algorithm of the coefficient control was presented on the example of the magneto-electric shock absorber. The mathematical model of the shock absorber and its control was implemented in the Matlab programme using the Simulink and Fuzzy Logic software libraries. The results of the simulation prove the effectiveness of the control using fuzzy logic in a wide range of road profiles.