An Active Suspension with Optimal Linear State Feedback

Thompson, A. G.

doi:10.1080/00423117608968414

Cited by 184 publications

(27 citation statements)

References 2 publications

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“…The most part of these research contributions are based on linear time-invariant suspension models for control design. Thompson (1976) was the first to explore the use of optimal control techniques to design an active law.…”

Section: Linear Design For Nonlinear Automotive Active Suspension Systemmentioning

confidence: 99%

An optimal linear control design for nonlinear systems

Rafikov¹,

Balthazar²,

Tusset³

2008

J. Braz. Soc. Mech. Sci. & Eng.

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Section: Linear Design For Nonlinear Automotive Active Suspension Systemmentioning

confidence: 99%

An optimal linear control design for nonlinear systems

Rafikov¹,

Balthazar²,

Tusset³

2008

J. Braz. Soc. Mech. Sci. & Eng.

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“…The matrices Q and r of the performance index J have been taken from [16] and are the same as those already used in [4,6]:…”

Section: Application Examplementioning

confidence: 99%

“…The proposed procedure has been applied to the quarter car suspension shown in Figure 1, with values of the parameters taken from [16]: M 1 = 28.58Kg, M 2 = 288.90Kg, λ t = 155900N/m. In the simulation we used the nonlinear characteristic of the suspension spring given in Figure 6.…”

Section: Application Examplementioning

confidence: 99%

“…In the third simulation we assume that the disturbance w(t) is caused by the uneven road profile and is assumed to be a white noise signal, which is equivalent to saying that the longitudinal road profile x 0 can be represented by an integrated white noise [6,8,16]. Here, the road roughness characteristics are expressed by a signal whose PSD distribution function is [8]:…”

Section: Simulationmentioning

confidence: 99%

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Design of a Predictive Semiactive Suspension System

Giua

Melas

Seatzu

et al. 2004

Vehicle System Dynamics

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SUMMARYIn this paper we present an original design procedure for semiactive suspension systems. Firstly, we consider a target active control law that takes the form of a feedback control law. Secondly, we approximate the target law by controlling the damper coefficient f of the semiactive suspension. In particular, we examine two different kinds of shock absorbers: the first one uses magneto-rheological fluid instead of oil, while the second one is a solenoid valve damper. In both cases the nonlinear characteristics force-velocity of the damper are used to approximate the target law. To improve the efficiency of the proposed system, we take into account the updating frequency of the coefficient f and compute the expected value of f using a predictive procedure. We also address the problem of designing an asymptotic state observer that can be used not only to estimate the current state but also to predict the value that the state will take at the next sampling time.

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“…From the very beginning developing controllers for active suspension has interested researchers. (Thompson, 1976), (Karnoop 1983). A vast majority of researchers working in the area of active vibration control in automobiles have focused on developing controllers for active suspension.…”

Section: Introductionmentioning

confidence: 99%