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Disturbance observer approach for fuel-efficient heavy-duty vehicle platooning
KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7177-0702
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
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2019 (English)In: Vehicle System Dynamics, ISSN 0042-3114, E-ISSN 1744-5159Article in journal (Refereed) Published
Abstract [en]

Heavy-duty vehicle platooning has received much attention as a method to reduce fuel consumption by keeping inter-vehicle distance short. When a platoon follows a fuel-optimal velocity profile calculated using preview road slope information, significant improvement in the fuel economy occurs. To calculate the optimal velocity in the existing method, however, platoon should acquire expensive road slope data in advance. As an alternative, we propose a road slope estimation method, which enables platoon to calculate the optimal velocity profile without the usage of actual road slope data. Other major challenges in platoon operation include overcoming the effect of the vehicle model uncertainties and external disturbances for ensuring the control performance. The most significant part of the disturbances arises from slopes along a route. Existing method for reducing the effect of the slope employs a feed-forward type compensation in the control loop by combining the vehicle position acquired from GPS and the slope database. However, this method exhibits limitations: the mass of the vehicles in the platoon is uncertain which lowers the accuracy of the feed-forward compensation, and the platoon requires the pre-acquired slope database. To overcome these limitations, we propose an alternative method employing disturbance observer. Simulations of various scenarios are conducted to show the efficacy of the proposed method using the actual road slope data of a Swedish highway.

Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2019.
Keywords [en]
disturbance observer, Heavy-duty vehicle platoon, road slope estimation, robust control, Fuels, Roads and streets, Uncertainty analysis, Control performance, External disturbances, Feed-forward compensation, Heavy duty vehicles, Optimal velocity, Road slope, Vehicle position, Fuel economy
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-268419DOI: 10.1080/00423114.2019.1704803ISI: 000504792000001Scopus ID: 2-s2.0-85077897474OAI: oai:DiVA.org:kth-268419DiVA, id: diva2:1427455
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QC 20200429

Available from: 2020-04-29 Created: 2020-04-29 Last updated: 2022-06-26Bibliographically approved

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Turri, ValerioJohansson, Karl H.

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ACCESS Linnaeus CentreDecision and Control Systems (Automatic Control)
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