Fuzzy Logic Controller for Half Vehicle Active Suspension System: An Assessment on Ride Comfort and Road Holding

Authors : Meral Özarslan Yatak, Çağdaş Hisar, Fatih Şahin

Pages : 179-187

Doi:10.30939/ijastech..1372001

View : 76 | Download : 170

Publication Date : 2024-06-30

Article Type : Research Paper

Abstract :Vehicle suspension system results in a trade-off between the crucial requirements of road holding and ride comfort. To increase the suspension performance and overcome this difficulty, vehicle dynamic systems must be equipped with new technologies and intelligent materials. This paper proposes a fuzzy logic control strategy to enhance ride comfort and road holding dynamics for a half-vehicle active suspension system. The fuzzy logic controller offers a control approach that enables systems with uncertainty and complexity to be managed effectively. Two fuzzy logic controllers for each tire are executed and arranged for the characteristics of the unsprung and sprung masses. The controllers’ inputs are suspension deflection and sprung mass acceleration for each tire. Moreover, actuator force is generated as the controllers’ outputs. Bump road disturbances are applied to each tire for performance evaluation of the controllers. The performance criteria for the suspension system are selected as acceleration and displacement of sprung mass, suspension deflection, and dynamic tire load. These parameters are compared to the passive suspension system and evaluated on ride comfort and road holding. Ride comfort is enhanced by 34% with the active suspension system, including a fuzzy logic controller. Furthermore, road holding is improved by about 13% regarding suspension deflection and dynamic tire load. In conclusion of the simulation, the proposed control approach enhances ride comfort and road-holding dynamics concurrently.
Keywords : Active suspension system, Fuzzy logic, Half vehicle model, Ride comfort, Road holding