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For improving Riding Comfort, an adaptive fuzzy PID control method is proposed for the semi-active suspension model of engineering vehicle with five degrees of freedom based on the advantages of fuzzy control and adaptive PID control. Taking a tipper as the study object, an adaptive fuzzy PID controller is designed for vibration control of the engineering vehicle and is simulated. The performance...
With the user's needs and the development of modern technology, the engineering vehicles develop continuously toward the heavy-load and high-speed direction. The higher riding comfort requirements of engineering vehicles are put forward. The traditional passive suspension had not met the requirements of riding comfort. An adaptive fuzzy PID control method is proposed for the semi-active suspension...
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...
According to the evaluation method of riding comfort and handling safety of automotive, 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. The least means squares (LMS) adaptive algorithm is used in active suspension system. With adjusting...
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