X-Type Tilted Quadrotor Flight Dynamic Modeling

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Multirotor UAV such as quadrotor is ideal for photogrammetry application due to its hovering capability and flying at low altitude. It can be used for surveillance, photography, mapping, including Search and Rescue (SAR) operations. The flight of quadrotor requires that each motor produces the propulsion force against the gravitational force. Thrust differential approach is commonly used to control the movement of quadcopter (and also other type of multirotors). Control technique using thrust differential is not ideal to maintain platform attitude. The flight mission almost rely on additional stabilizer to carry a camera for capturing accurate images. Tilted rotor is an alternative control approach suitable for better platform flight attitude, which is horizontal flight. Flight dynamic behaviour of tilted rotor platform shall be understood. This paper shows an effort of development of the quadrotor flight dynamic mathematical model based on thrust differential and rotor tilted angle. X-type tilted configuration is used. Based on three dimensional kinetic analysis, the dynamic mathematical model were derived, and presented.

     


  • Keywords


    Flight Dynamics; Photogrammetry; Quadcopter; Tilted Quadrotor

  • References


      [1] ArduPilothttp://ardupilot.org/copter/docs/what-is-a-multicopter-and-how-does-it work.html

      [2] Bergman K. and Ekström J. 2014. Modeling, Estimation and Attitude Control of an Octorotor Using PID and L1 Adaptive Control Techniques. Department of Electrical Engineering, Linköpings Universitet

      [3] Hickin E.J. Chapter 8: Aerial Photography Interpretation. Department of Geography, Faculty of Environment, Simon Fraser University, Burnaby, Canada.

      [4] Siebert, S. and Teizer, J. 2014. Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Bickhardt Bau Aktiengesellschaft, Industriestraße 9, 36275 Kirchheim. RAPIDS Construction Safety and Technology Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta

      [5] Ghadage P.P. 2014. Novel Waypoint Generation Method for Increased Mapping Efficiency Using UAV. Arizona State University

      [6] Eswaran P.; Guda M.; Priya M.; Khan Z. 2015. Stabilization of UAV Quadcopter. Proceedings of the International Conference on Soft Computing Systems. Volume 397 of the series Advances in Intelligent Systems and Computing

      [7] Jafar A.; Ahmad S.M.; Ahmed N. 2016. Mathematical Modeling and Control Law Design for 1DOF Quadcopter Flight Dynamics. International Conference on Computing, Electronic and Electrical Engineering (ICE Cube).

      [8] Kuntjoro W.; Saleh A.H.M.; Nasir R.E.M.; Abdullah M.R.; Suada M.G. 2018. Flight Thrust Performance of Quadcopter. Journal of Mechanical Engineering Vol SI 5(1).

      [9] Tayebi A. and McGilvray A. 2006. Attitude Stabilization of a VTOL Quadrotor Aircraft. IEEE Tranactions on Control Systems Technology, Vol. 14, No. 3.

      [10] Luukkonen T. 2011. Modelling and Control of Quadcopter, School of Science, Aalto University, Espoo.

      [11] Hoffmann G.M.; Huang H.; Waslander S.L. and Tomlin C.J. Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment. AIAA2007-6461

      [12] Magnussen Ø. and Skjønhaug K.E. 2011. Modeling, Design and Experimental Study for A Quadcopter System Construction. University of Agder.

      [13] Hanna W. 2014. Modelling and Control of an Unmanned Aerial Vehicle. Charles Darwin University

      [14] Carrillo LRG.; López AED.; Lozano R. and Pégard C. (2013). Quad Rotorcraft Control - Vision-Based Hovering and Navigation. Springer


 

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Article ID: 22413
 
DOI: 10.14419/ijet.v7i4.25.22413




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