Chalak Qazani, Mohammad Reza und Asadi, Houshyar und Bellmann, Tobias und Perdrammehr, Siamak und Mohamed, Shady und Nahavandi, Saeid (2020) A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform. In: 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020-07-19 - 2020-07-24, Glasgow, United Kingdom. doi: 10.1109/FUZZ48607.2020.9177599. ISBN 978-1-7281-6932-3. ISSN 1558-4739.
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Offizielle URL: https://ieeexplore.ieee.org/servlet/opac?punumber=9171991
Kurzfassung
Parallel manipulators are recently used in most motion simulation laboratories as they can easily generate six degrees of freedom motion. Recently, fuzzy logic-based adaptive motion cueing algorithms (MCAs) have been employed to reproduce the motion signals. The usage of fuzzy logic-based adaptive MCA reduces the movement sensation error between the real vehicle and the simulation-based motion platform (SBMP) user considering the end-effector limitations in Cartesian space.. In this paper, a new fuzzy logic-based adaptive MCA is introduced to generate motion signals based on the joints' limitations and the movement sensation error between the real vehicle and the SBMP user. Considering the parallel SBMP, joint limits enhance the ability of the introduced adaptive motion cueing algorithm to generate more accurate movement feelings with high fidelity. The simulation results prove that the proposed adaptive motion cueing algorithm can effectively use the large workspace of the parallel SBMP whilst reducing the motion sensation error.
elib-URL des Eintrags: | https://elib.dlr.de/138338/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
Titel: | A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | August 2020 | ||||||||||||||||||||||||||||
Erschienen in: | 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
DOI: | 10.1109/FUZZ48607.2020.9177599 | ||||||||||||||||||||||||||||
ISSN: | 1558-4739 | ||||||||||||||||||||||||||||
ISBN: | 978-1-7281-6932-3 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Acceleration, Fuzzy logic, Kinematics, Solid modeling, Adaptation models, Vehicles, Intelligent systems | ||||||||||||||||||||||||||||
Veranstaltungstitel: | 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) | ||||||||||||||||||||||||||||
Veranstaltungsort: | Glasgow, United Kingdom | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 19 Juli 2020 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 24 Juli 2020 | ||||||||||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Terrestrische Assistenz-Robotik (alt) | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Systemdynamik und Regelungstechnik > Raumfahrt-Systemdynamik | ||||||||||||||||||||||||||||
Hinterlegt von: | Bellmann, Tobias | ||||||||||||||||||||||||||||
Hinterlegt am: | 03 Dez 2020 10:00 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:40 |
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