&amp;#x210C;&lt;inf&gt;&amp;#x221E;&lt;/inf&gt;/LPV observer for an industrial semi-active suspension

Aubouet, Sébastien; Dugard, Luc; Sename, Olivier

doi:10.1109/cca.2009.5281039

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…• The variables directly involved in the suspension model, so the deflection and/or deflection velocity as varying parameters, as well as the spring stiffness and damping non linearities, in order to get adaptive performances in case the physical limits are reached [38,39,71…”

Section: Suspension Control Problemsmentioning

confidence: 99%

Review on LPV Approaches for Suspension Systems

Sename

2021

Electronics

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This paper presents a detailed literature review about Linear Parameter Varying (LPV) approaches applied to vehicle suspension systems. Indeed many works have been devoted to vehicle (active and semi-active) suspension in the past 20 years, because this subsystem in the only one affecting passenger comfort and road holding. Moreover several studies have also been concerned with global vehicle dynamic control using the suspension systems in collaboration with other subsystems (steering, braking …). On the other hand, the LPV approaches have proved to be very efficient to control non linear systems as well as to provide some kind of adaptive control. Naturally many LPV methods have been developed for suspension systems in order to take into account the nonlinear characteristics of the dampers, to adapt the suspension performance to the passenger request or to the road profile, to make the suspension systems collaborate with other subsystems, or to provide a fault tolerant control in case of damper loss of efficiency. This survey paper will make a deep analysis about the recent studies dedicated to vehicle suspension systems aiming at providing a better insight on the type of LPV methods that have been considered.

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Section: Suspension Control Problemsmentioning

confidence: 99%

Review on LPV Approaches for Suspension Systems

Sename

2021

Electronics

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“…Parallel to the control unit, a logger is used to save the sensor data and valve currents for post-processing analyses. The sprung and unsprung mass velocity are calculated using an observer as discussed in [21,22]. Table 2 presents the vehicle parameters of the test vehicle used for the measurements in this paper.…”

Section: Test Vehiclementioning

confidence: 99%

Rule-based control of a semi-active suspension system for road holding using limited sensor information: design and experiments

Sande

Merks

Lindeman³

et al. 2021

Vehicle System Dynamics

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“…For this e-ISSN:2757-9077 https://sciperspective.com/ Research Paper reason, many different control approaches are considered by researchers. Various methods such as optimal control theory, feedback control system, robust, LQR, PID, fuzzy logic are used for the control of the active suspension system [20][21][22][23][24][25][26][27]. Fuzzy logic is accepted as an important solution method for dynamic systems that want to be controlled adaptively.…”

Section: Introductionmentioning

confidence: 99%

Quarter Car Active Suspension System Control Using Fuzzy Controller

Arslan¹,

Aysal²,

Çelik³

et al. 2022

eng.pers

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The performance of active suspension systems is directly related to the mechanical design and control of the system. The stable operation of the controller improves driving comfort and handling. The quarter car model is frequently used in the analysis of suspension systems due to its simple structure. In this study, Matlab Simulink software was used in the modeling, control and simulation of the quarter car active suspension model. System performance was investigated for four different road profiles with PID and fuzzy logic control methods. Two of the road profiles used are in the form of impact signals consisting of pits and bumps. The other two road profiles are random road disturbances with high frequency. The effects of active and passive suspension systems on driving comfort are compared by taking into account the control methods used. As a result of the study, it has been determined that the fuzzy logic controller gives better results in pulse signals consisting of bumps and pits, and the PID controller gives better results in highfrequency random road disturbances. In addition, with the use of fuzzy logic control method in the active suspension system, a significant decrease in the actuator force has occurred. This result is very interesting in terms of minimizing energy, reducing actuator sizes and reducing costs.

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ℌ<inf>∞</inf>/LPV observer for an industrial semi-active suspension

Cited by 7 publications

References 17 publications

Review on LPV Approaches for Suspension Systems

Review on LPV Approaches for Suspension Systems

Rule-based control of a semi-active suspension system for road holding using limited sensor information: design and experiments

Quarter Car Active Suspension System Control Using Fuzzy Controller

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