首页|期刊导航|无人系统(英文)|Sensing and Control Integration for Thrust Vectoring in Heavy UAVs:Real-World Implementation and Performance Analysis

Sensing and Control Integration for Thrust Vectoring in Heavy UAVs:Real-World Implementation and Performance AnalysisOA

Sensing and Control Integration for Thrust Vectoring in Heavy UAVs:Real-World Implementation and Performance Analysis

Mohammad Sadeq Ale Isaac;Pablo Flores Peña;Marco Andrés Luna;Ahmed Refaat Ragab;Pascual Campoy

Computer Vision and Aerial Robotics Group,Centre for Automation and Robotics(CAR),Universidad Politécnica de Madrid(UPM-CSIC),28006 Madrid,SpainDepartment of Electrical Engineering,University Carlos Ⅲ of Madrid,28919 Leganés,Spain||Drone-Hopper Company,28919 Leganés,SpainComputer Vision and Aerial Robotics Group,Centre for Automation and Robotics(CAR),Universidad Politécnica de Madrid(UPM-CSIC),28006 Madrid,SpainDepartment of Electrical Engineering,University Carlos Ⅲ of Madrid,28919 Leganés,Spain||Department of Network,Faculty of Information Systems and Computer Science,October 6 University,Giza 12511,Egypt||Drone-Hopper Company,28919 Leganés,SpainComputer Vision and Aerial Robotics Group,Centre for Automation and Robotics(CAR),Universidad Politécnica de Madrid(UPM-CSIC),28006 Madrid,Spain

Adaptive sliding mode controlthrust vector controlattitude controlservo flap sensingheavy UAVsmulti-ducted fan

Adaptive sliding mode controlthrust vector controlattitude controlservo flap sensingheavy UAVsmulti-ducted fan

《无人系统(英文)》 2025 (2)

609-631,23

We would like to thank the University of Carlos Ⅲ,campus Leganes,Madrid,for performing laboratories and hangers through our research.We would also like to thank our colleagues at Drone Hopper for their support during the project.This work was conducted to complete the doctoral project of Mohammad Sadeq Ale Isaac with the support of Professor Pascual Campoy,and Doctor Ahmed Refaat Ragab.This work was supported by the ULTRADRON Project,funded by CDTI under the call number PTAP-20231017,focused on"Enabling Technologies for an Intelligent Logistics Unit with Drone Technology"and by the project INSERTION ref.ID2021-127648OBC32,"UAV Perception,Control and Operation in Harsh Environments,"funded by the Spanish Ministry of Science and Innovation under the program"Projects for Knowledge Generating."

10.1142/S2301385025500396

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