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Control system design for multi-rotor MAV

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Języki publikacji
EN
Abstrakty
EN
Abstract MAVs (Micro Air Vehicles) have attracted more and more attention in recent years because of their wide applications, such as investigations of inhospitable environment, nuclear or hazardous material polluted regions and other inaccessible areas. In this paper, both attitude and altitude controls of a Quad-Rotor type MAV are discussed and analyzed. To stabilize the attitude, one order memory based controller is selected, the performance of which is independent of the detail model information, leading to enhanced robustness. While for the altitude, a Linear Quadratic Gaussian (LQG) controller is proposed. The experimental results of the real flight demonstrate the stability and robustness of the controllers.
Słowa kluczowe
Rocznik
Strony
1027--1038
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
  • College of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China
autor
  • College of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China
autor
  • School of Automation, Southeast University, Nanjing, China
Bibliografia
  • 1. Achtelik M., Bachrach A., He R., Prentice S., Roy N., 2009, Stereo vision and laser odometry for autonomous helicopters in gps-denied indoor environments, Proceedings of the SPIE Conference on Unmanned Systems Technology XI, Orlando, FL
  • 2. Ascending Technologies GmbH, http://www.asctec.de.
  • 3. Bachrach A., He R., Roy N., 2009, Autonomous flight in unstructed and unknown indoor environments, Proceedings of EMAV
  • 4. Hoffmann G.M., Huang H., Waslander S.L., Tomlin C.J., 2011, Precision flight control for a multi-vehicle quadrotor helicopter testbed, Control Engineering Practice, 19, 9, 1023-1036
  • 5. http://www.draganfly.com/
  • 6. Kendoul F., 2012, Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems, Journal of Field Robotics, 29, 2, 315-378
  • 7. Kendoul F., Fantoni I., Lozano R., 2008, Asymptotic stability of hierarchical inner-outer loopbased flight controllers, Proceedings of the 17th IFAC World Congress, Seoul, Korea, 1741-1746
  • 8. Kendoul F., Lara D., Fantoni I., Lozano R., 2007, Real-time nonlinear embedded control for an autonomous Quad-Rotor helicopter, AIAA Journal of Guidance, Control, and Dynamics, 30, 4, 1049-1061
  • 9. Martinez V.M., 2007, Modeling of the flight dynamics of a quadrotor helicopter, A MSc Thesis in Cranfield University
  • 10. Nonami K., Kendoul F., Suzuki S., Wang W., Nakazawa D., 2010, Autonomous Flying Robots-Unmanned Aerial Vehicles and Micro Aerial Vehicles, Springer
  • 11. Rudin K., Hua M.D., Ducard G., 2011, A robust controller and its application to quadrotor helicopters, Proceedings of the 18th IFAC World Congress, Italy
  • 12. Song Y.D., 2006, Memory-based control of nonlinear dynamic systems. Part I – Design and analysis, Industrial Electronics and Applications, 2006 1ST IEEE Conference on
  • 13. Tayebi A., McGilcary S., 2006, Attitude stabilization of a VTOL quadrotor aircraft, IEEE Transactions on Control Systems Technology, 14, 3, 562-571
  • 14. WangW., Nonami K., Hirata M., 2008,Model reference sliding mode control of small helikopter X.R.B based on vision, International Journal of Advanced Robotic Systems, 5, 3, 235-242
  • 15. Wang W., Song Y.Z., Nonami K., Cheng Y., Zhou Y., Wang F., 2011, Attitude controller design for a six-rotor type MAV, Key Engineering Materials, 480-481, 1155-1160
  • 16. Xia M., Zhang Y., Weng L., Ye X., 2012, Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs, Knowledge-Based Systems, 36, 253-259
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-652f24a5-9cac-4f72-b3ef-b6dba3bcf53c
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