Adaptive Fuzzy Control for Vehicle Suspension System
Jianmin Sun
Abstract
Jianmin Sun
Abstract
The riding comfort and handling safety of vehicle are regarded as control aims. The acceleration of the sprung mass, dynamic load between wheel and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation target of vehicle suspension performance. For the road-vehicle system, an adjustable fuzzy control algorithm by which fuzzy control rule tables can be obtained with the numerical calculation is advanced. For two degrees of freedom (DOF) vehicle model, the simulation of vehicle performance with road signal is studied. Compared with adaptive active control suspension system, the simulation results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment verification of the vehicle model, the algorithm can effectively control the vibration of vehicle system.
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The riding comfort and handling safety of vehicle are regarded as control aims. The acceleration of the sprung mass, dynamic load between wheel and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation target of vehicle suspension performance. For the road-vehicle system, an adjustable fuzzy control algorithm by which fuzzy control rule tables can be obtained with the numerical calculation is advanced. For two degrees of freedom (DOF) vehicle model, the simulation of vehicle performance with road signal is studied. Compared with adaptive active control suspension system, the simulation results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment verification of the vehicle model, the algorithm can effectively control the vibration of vehicle system.
Key concepts: Sprung mass, Control theory (sociology), Acceleration, Fuzzy control system, Deflection (physics), Suspension (topology), Fuzzy logic, Engineering