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Sökning: onr:"swepub:oai:DiVA.org:kth-186123" > Predictive control ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003953nam a2200433 4500
001oai:DiVA.org:kth-186123
003SwePub
008160502s2016 | |||||||||||000 ||eng|
020 a 9789175959849q print
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1861232 URI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a vet2 swepub-contenttype
072 7a lic2 swepub-publicationtype
100a Lima, Pedro,d 1990-u KTH,Reglerteknik,ACCESS, ITRL4 aut0 (Swepub:kth)u11myae9
2451 0a Predictive control for autonomous driving :b With experimental evaluation on a heavy-duty construction truck
264 1a Universitetsservice US AB :b KTH Royal Institute of Technology,c 2016
300 a x, 126 s.
338 a electronic2 rdacarrier
500 a QC 20160503
520 a Autonomous vehicles is a rapidly expanding field, and promise to play an important role in society. In more isolated environments, vehicle automation can bring significant efficiency and production benefits and it eliminates repetitive jobs that can lead to inattention and accidents.The thesis addresses the problem of lateral and longitudinal dynamics control of autonomous ground vehicles with the purpose of accurate and smooth path following. Clothoids are used in the design of optimal predictive controllers aimed at minimizing the lateral forces and jerks in the vehicle.First, a clothoid-based path sparsification algorithm is proposed to efficiently describe the reference path. This approach relies on a sparseness regularization technique such that a minimal number of clothoids is used to describe the reference path.Second, a clothoid-based model predictive controller (MPCC) is proposed. This controller aims at producing a smooth driving by taking advantage of the clothoid properties. Third, we formulate the problem as an economic model predictive controller (EMPC). In EMPC the objective function contains an economic cost (here represented by comfort or smoothness), which is described by the second and first derivatives of the curvature. Fourth, the generation of feasible speed profiles, and the longitudinal vehicle control for following these, is studied. The speed profile generation is formulated as an optimization problem with two contradictory objectives: to drive as fast as possible while accelerating as little as possible. The longitudinal controller is formulated in a similar way, but in a receding horizon fashion.The experimental evaluation with the EMPC demonstrates its good performance, since the deviation from the path never exceeds 30 cm and in average is 6 cm. In simulation, the EMPC and the MPCC are compared with a pure-pursuit controller (PPC) and a standard MPC. The EMPC clearly outperforms the PPC in terms of path accuracy and the standard MPC in terms of driving smoothness.
650 7a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng
653 a Autonomous vehicles
653 a model predictive control
653 a automatic control
653 a heavy-duty vehicles
653 a mining
653 a trucks
653 a clothoids
653 a Electrical Engineering
653 a Elektro- och systemteknik
700a Wahlberg, Bo,c Professoru KTH,Reglerteknik,ACCESS Linnaeus Centre4 ths0 (Swepub:kth)u18c1tfa
700a Mårtensson, Jonas,c Assistant professoru KTH,Reglerteknik4 ths0 (Swepub:kth)u1576kww
700a Bemporad, Alberto,c Professoru IMT Institute for Advanced Studies Lucca4 opn
710a KTHb Reglerteknik4 org
856u https://kth.diva-portal.org/smash/get/diva2:925562/FULLTEXT01.pdfx primaryx Raw objecty fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186123

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