dc.contributor.author | Τζαννέτος, Παναγιώτης - Γεώργιος | el |
dc.contributor.author | Tzannetos, Panagiotis - Georgios | en |
dc.date.accessioned | 2016-06-24T06:03:07Z | |
dc.date.available | 2016-06-24T06:03:07Z | |
dc.date.issued | 2016-06-24 | |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/42827 | |
dc.identifier.uri | http://dx.doi.org/10.26240/heal.ntua.11619 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση 3.0 Ελλάδα | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/gr/ | * |
dc.subject | Μη επανδρωμένα οχήματα | el |
dc.subject | Θεωρία παιγνίων | el |
dc.subject | Προβλεπτικός έλεγχος | el |
dc.subject | Έλεγχος με οπτική ανατροφοδότηση | el |
dc.subject | Αναγνώριση συστήματος | el |
dc.title | Συνεχές διαφορικό ανταγωνιστικό παίγνιο μεταξύ ενός εναέριου και ενός επίγειου οχήματος με χρήση προβλεπτικού ελεγκτή | el |
heal.type | bachelorThesis | |
heal.secondaryTitle | Continuous Differential Competitive Game between an Unmanned Aerial and a Ground Vehicle Using Model Predictive Control | en |
heal.classification | Ρομποτική | el |
heal.language | el | |
heal.access | free | |
heal.recordProvider | ntua | el |
heal.publicationDate | 2016-02-15 | |
heal.abstract | In this diploma thesis an imperfect information competitive differential and continuous game between an unmanned aerial and an unmanned ground vehicle is studied theoretically and experimentally. Each player acts independently trying to satisfy its own objective function. Specifically the UAV is trying to reduce the relative distance and orientation in order to capture the mobile robot, while the other is trying to increase it in order to avoid the capture. In order this to be achieved every robot should have good knowledge(estimation) of its variable states, namely its position, velocity and orientation through sensor fusion. Also, through visual servoing with an onboard camera on the moving UAV, the relative position between the robots becomes known. Therefore the purpose of this work is to design the independent inputs of the two players based on the above in order to conduct a study of the game in real robotic platforms. For this cause a non-linear model predictive control with fix horizon is designed to calculate in real time the optimal trajectory of each player, taking into account the model dynamics. The robotic platforms that were used for the experimental study are the UAV hexacopter Asctec Fire y and the mobile robot Pioneer 2. Testing different scenarios in theoretic simulations various conclusions are made for the strategy that each agent should follow in a game of two "rational" players where one player is fast and the other is slower but more maneuverable. Finally through the experiment we show the capabilities of the unmanned aerial vehicles to follow trajectories and objects that are unpredictable and the knowledge of the upcoming movement is limited, and not exclusively for competitive games. | en |
heal.advisorName | Κυριακόπουλος, Κωνσταντίνος | el |
heal.committeeMemberName | Παπαδόπουλος, Ευάγγελος | el |
heal.committeeMemberName | Αντωνιάδης, Ιωάννης | el |
heal.academicPublisher | Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών. Τομέας Μηχανολογικών Κατασκευών και Αυτομάτου Ελέγχου. Εργαστήριο Αυτομάτου Ελέγχου και Ρυθμίσεως Μηχανών και Εγκαταστάσεων | el |
heal.academicPublisherID | ntua | |
heal.numberOfPages | 83 σ. | el |
heal.fullTextAvailability | true |
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