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contributor authorSong, Siyang
contributor authorWang, Junmin
date accessioned2022-02-04T23:01:27Z
date available2022-02-04T23:01:27Z
date copyright12/1/2020 12:00:00 AM
date issued2020
identifier issn0022-0434
identifier otherds_142_12_121004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275933
description abstractIn preview-based vehicle suspension applications, the preview of the road profile is highly dependent on the preview sensors. In some scenarios such as heavy traffic situations, the preview of road profile can only be estimated by other vehicles because the view of the preview sensors may be blocked by other vehicles. The estimated preview road information can contain errors, which thus requires the controller to have a good robust performance. In this paper, an incremental model predictive control (MPC) strategy for active suspension systems along with a road profile estimator using preview information from a lead vehicle is proposed. The efficacy of the proposed strategy is experimentally validated on two scaled-down active suspension stations with comparison to two conventional active suspension control approaches.
publisherThe American Society of Mechanical Engineers (ASME)
titleIncremental Model Predictive Control of Active Suspensions With Estimated Road Preview Information From a Lead Vehicle
typeJournal Paper
journal volume142
journal issue12
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4047962
journal fristpage0121004-1
journal lastpage0121004-8
page8
treeJournal of Dynamic Systems, Measurement, and Control:;2020:;volume( 142 ):;issue: 012
contenttypeFulltext


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