Abstract
A kind of active suspension system combined with passive suspensions and active components is addressed. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The least means squares adaptive algorithm that guarantees system optimal control, is presented and used to find the optimal suspension system design. For two-DOF vehicle suspension model, LMS adaptive controller is designed. The acceleration of the sprung mass, dynamic tyre load between wheels and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation targets of suspension performance. For the combined suspension, compared with passive suspension, acceleration of sprung mass acceleration under the road input model has all decreased largely as 8-10 times in high frequency resonance band or low frequency resonance band. The design exhibits superior performance compared to passive suspension.
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