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Automotive Control Integration Utili...

Beckerman, Alex Keith.

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Automotive Control Integration Utilizing Allocation Methods.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automotive Control Integration Utilizing Allocation Methods./
Author:	Beckerman, Alex Keith.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	164 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-12.
Contained By:	Dissertations Abstracts International81-12.
Subject:	Engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27670897
ISBN:	9798645452551

Automotive Control Integration Utilizing Allocation Methods.
Beckerman, Alex Keith.

Automotive Control Integration Utilizing Allocation Methods. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 164 p.

Source: Dissertations Abstracts International, Volume: 81-12.

Thesis (Ph.D.)--University of California, Davis, 2020.

This item must not be sold to any third party vendors.

Passenger vehicle complexity is increasing with the proliferation of mechatronic-based control. Hundreds of computers may be operating simultaneously to control everything from brake pressure to entertainment systems. While various levels of system integration exist, many controllers operate simultaneously while attempting to satisfy independent control objectives. As a result, performance is suboptimal and may result in unpredictable or emergent behavior.It is well known that system integration can result in higher levels of performance and safety. This research investigates control allocation as a methodology for integrated automotive control while providing a template from which future engineers can quickly develop prototype integrated controllers. The template itself is used to develop several novel integrated controllers related to both suspension and tire torque control.

ISBN: 9798645452551Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Allocation

Automotive Control Integration Utilizing Allocation Methods.
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020 $a 9798645452551
035 $a (MiAaPQ)AAI27670897
035 $a AAI27670897
040 $a MiAaPQ $c MiAaPQ
100 1 $a Beckerman, Alex Keith. $3 3553392
245 1 0 $a Automotive Control Integration Utilizing Allocation Methods.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 164 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12.
500 $a Advisor: Margolis, Donald L.
502 $a Thesis (Ph.D.)--University of California, Davis, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Passenger vehicle complexity is increasing with the proliferation of mechatronic-based control. Hundreds of computers may be operating simultaneously to control everything from brake pressure to entertainment systems. While various levels of system integration exist, many controllers operate simultaneously while attempting to satisfy independent control objectives. As a result, performance is suboptimal and may result in unpredictable or emergent behavior.It is well known that system integration can result in higher levels of performance and safety. This research investigates control allocation as a methodology for integrated automotive control while providing a template from which future engineers can quickly develop prototype integrated controllers. The template itself is used to develop several novel integrated controllers related to both suspension and tire torque control.
590 $a School code: 0029.
650 4 $a Engineering. $3 586835
650 4 $a Mechanical engineering. $3 649730
650 4 $a Automotive engineering. $3 2181195
653 $a Allocation
653 $a Automotive
653 $a Bond graphs
653 $a Controls
653 $a Integration
690 $a 0537
690 $a 0548
690 $a 0540
710 2 $a University of California, Davis. $b Mechanical and Aerospace Engineering. $3 3190211
773 0 $t Dissertations Abstracts International $g 81-12.
790 $a 0029
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27670897