Self-adjustment Fuzzy Control of Vehicle Active Suspension
Jianmin Sun
Abstract
Jianmin Sun
Abstract
With riding comfort and vehicle safety as control aims,the acceleration of the sprung mass was determined as the evaluation target of vehicle suspension performance.An adjustable fuzzy control algorithm based on fuzzy control rule with the numerical calculation was advanced. For two degrees of freedom (DOF) vehicle model,the selfadjustment fuzzy controller for active vehicle suspension system was designed,and the performance of vehicle suspension system was studied under single frequence signal. According to the experiment study of vehicle model,the results show that the sprung mass acceleration mean square value for the selfadjustment fuzzy active suspension system is reduced by 41% compared to uncontrolled suspension system,and for adaptive active suspension system only reduced by 24%.The adjustable fuzzy controller can reduce the acceleration of the sprung mass.
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With riding comfort and vehicle safety as control aims,the acceleration of the sprung mass was determined as the evaluation target of vehicle suspension performance.An adjustable fuzzy control algorithm based on fuzzy control rule with the numerical calculation was advanced. For two degrees of freedom (DOF) vehicle model,the selfadjustment fuzzy controller for active vehicle suspension system was designed,and the performance of vehicle suspension system was studied under single frequence signal. According to the experiment study of vehicle model,the results show that the sprung mass acceleration mean square value for the selfadjustment fuzzy active suspension system is reduced by 41% compared to uncontrolled suspension system,and for adaptive active suspension system only reduced by 24%.The adjustable fuzzy controller can reduce the acceleration of the sprung mass.
Key concepts: Sprung mass, Control theory (sociology), Suspension (topology), Acceleration, Active suspension, Fuzzy control system, Fuzzy logic, Controller (irrigation)