2004
DOI: 10.1016/s1474-6670(17)30403-2
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Active Suspension Design using LPV Control

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Cited by 21 publications
(10 citation statements)
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“…The qLPV system depends upon parameters, the state vector x and the control input u. The matrices A and B are usually nonlinear functions of the scheduling parameter ρ. qLPV systems is when any of the scheduling parmeters ρ are a state of the system [13]. Finally, the components of (11) become:…”
Section: Nonlinear Optimal Generalized Predictive Functional Control mentioning
confidence: 99%
“…The qLPV system depends upon parameters, the state vector x and the control input u. The matrices A and B are usually nonlinear functions of the scheduling parameter ρ. qLPV systems is when any of the scheduling parmeters ρ are a state of the system [13]. Finally, the components of (11) become:…”
Section: Nonlinear Optimal Generalized Predictive Functional Control mentioning
confidence: 99%
“…According to the dissipative theory, each constraint can be expressed as a supply function, then translated into an LMI (5,9) [9,10].…”
Section: Design Characteristics and Performances On The Half Vehicle mentioning
confidence: 99%
“…The main role of suspensions is to improve comfort by isolating the vehicle chassis to an uneven ground and to provide a good road holding to ensure passenger safety. Suspension control of quarter vehicle have been widely explored the past few years to improve vertical movements either by applying LQ [6], Skyhook [8], H ∞ control [5,12], LPV [4] or mixed synthesis [1,11]. Roll dynamic is catched by the half vehicle model and is directly linked to suspension behaviour.…”
Section: Introductionmentioning
confidence: 99%
“…Suspension control based on quarter vehicle have been widely explored in the past few years to improve vertical movements either by applying Skyhook (Sammier et al, 2003;Choia et al, 2000), H ∞ control (Gaspar et al, 2004) , LPV (Fialho and Balas, 2002) or mixed synthesis (Abdellahi et al, 2000;Takahashi et al, 1998), model-predictive techniques (Canale et al, 2006), using a mix one sensor control strategy (Savaresi and Spelta, 2007). Performance limitations of quarter-car active suspension models have also been studied (Türkay and Akçay, 2007).…”
Section: Introductionmentioning
confidence: 99%