1994
DOI: 10.1080/00423119408969057
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The Development and Implementation of Adaptive Semi-Active Suspension Control*

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Cited by 43 publications
(20 citation statements)
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“…To improve vehicle ride control or handling, modified skyhook control strategies are designed for specific applications. Venhovens developed an adaptive semi-active skyhook control for suspension system by measuring or estimating vehicle states [2]. Williams et al presented a vehicle control scheme to allow nearly optimal ride and simultaneously permit modification of vehicle handing properties by combining the Lotus modal decomposition with a skyhook damper [3].…”
Section: Introductionmentioning
confidence: 99%
“…To improve vehicle ride control or handling, modified skyhook control strategies are designed for specific applications. Venhovens developed an adaptive semi-active skyhook control for suspension system by measuring or estimating vehicle states [2]. Williams et al presented a vehicle control scheme to allow nearly optimal ride and simultaneously permit modification of vehicle handing properties by combining the Lotus modal decomposition with a skyhook damper [3].…”
Section: Introductionmentioning
confidence: 99%
“…Now the problem has been reduced to appropriately adjusting the value of α for maximum performance improvement. An adaptive controller introduced in [12] had the basic idea that comfort is the objective, as long as the dynamic tire forces are within certain limits. The weighting parameter α varying between zero and one defines the level of this constraint violation.…”
Section: Adaptive Semi-active Suspension Controlmentioning
confidence: 99%
“…To avoid unnecessary chatter in the controller, the absolute value |F tire | can be used. (12) With the two constraint equations defined for slow and fast adaptation, a way can be developed to quantify the level of constraint violation. The adaptation structure is shown in Figure 4, where the input is the dynamic tire force F tire (which will be the estimated tire force in practice) and output is the weighting parameter α.…”
Section: Calculation Of Weighting Parameter αmentioning
confidence: 99%
“…Whatever the constant of the filter is, the level of the transmissibility at high frequency remains higher for the semi-active suspension than for the active (and passive for c =100 Ns/m) suspension. In practice, the time response of hydraulically powered digital servo valves lies in the range of 10 ms [8] and sometimes a little more [21]. As an alternative to an analog filter, the next section investigates if an elastic mount of the damper, using rubber bushing at both ends, could play a role of mechanical filter to smooth the control force.…”
Section: Filter the Control Inputmentioning
confidence: 99%
“…Another possible modification of the algorithm is to switch the valves only in those cases where the relative velocity between sprung and unsprung mass is zero [20]. In these instances, the suspension (spring + damper) force remains unchanged independent of the damper settings because no damper force can be generated [8].…”
Section: Modification Of the Sa1 Algorithmmentioning
confidence: 99%