Advanced Autonomous Multirotor Response System

Abstract:

Autonomous Unmanned Aerial Vehicle (UAV) in the form of multi-rotor system is having a great potential in various applications such as disaster management (as first response system) and surveillance. It is known that conventional helicopter system, capable of hovering, is practical and reliable as many applications have confirmed its capabilities. However it is only achievable once highly optimized control architecture is realized. The objective of the research presented in this paper is, to develop a small multi rotor UAV system that is able to autonomously flying from one way point to another in a stable manner. This small UAV is termed as Mini (or Micro) Aerial Vehicle (MAV). In this project, a four-rotor system was developed, and becoming the platform of various sensors system, flight control system, and electric propulsion system. The MAV was programmed to be able to lift off and fly to waypoints making use of GPS. This paper presents the architecture of the MAV and its autonomous flight.

• Periodical: Applied Mechanics and Materials (Volume 393)
• Pages: 299-304
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.393.299
• Online since: September 2013
• Authors: Hanif Ramli, Wahyu Kuntjoro, Ahmad Khushairy Makhtar
• Keywords: Drone, Multi-Rotor System, Quadcopter, Unmanned Aerial Vehicle (UAV)

References

[1] Hanif Ramli, Azmi Patar, H M A A Al-Assadi, M. A. Ayub, A New Neural - Active Force Control Architecture in High Precision SCARA System", "Latest Advances in Systems Science & Computation Intelligence, 2012, World Scientific and Engineering Academy and Society (WSEAS) Press, USA. ISBN: 978-1-61804-094-7.

[2] Unmanned Aerial Vehicle (UAV) Operations in Malaysian Airspace, Aeronautical Information Services, Department of Civil Aviation, ed. Putrajaya, Malaysia, (2008).

[3] R. E. M. Nasir, W. Kuntjoro, W. Wisnoe, 'Longitudinal Static Stability of a Blended Wing Body Unmanned Aircraft with Canard as Longitudinal Control Surface', Journal of Mechanical Engineering, Vol. 9 No. 1, (2012).

DOI: 10.4028/www.scientific.net/amm.225.375

[4] Unmanned Aerial Survey of Elephants, http: /www. plosone. org/article/info%3Adoi%2F10. 1371%2Fjournal. pone. 0054700.

[5] AníbalOllero, Simon Lacroix, Luis Merino, JeremiGancet, Johan Wiklund, Volker Remuss, IkerVeiga Perez, Luis G. Gutiérrez, Domingos Xavier Viegas, Miguel Angel González Benítez, Anthony Mallet, RachidAlami, Raja Chatila, Günter Hommel, F.J. ColmeneroLechuga, Begoña C. Arrue, JoaquínFerruz, Jose Ramiro Martinez-De Dios, And Fernando Caballero, Architecture and Perception Issues in the COMETS Unmanned Air Vehicles Project, IEEE Robotics & Automation Magazine, June (2005).

DOI: 10.1109/mra.2005.1458323

[6] Z. Kim and R. Sengupta, 'Target detection and position likelihood using an aerial image sensor, ', in Proc. IEEE Int. Conf. Robotics and Automation, 2008, p.59–64.

DOI: 10.1109/robot.2008.4543187

[7] Lionel Heng, Gim Hee Lee, Friedrich Fraundorfer, and Marc Pollefeys, Real-Time Photo-Realistic 3D Mapping for Micro Aerial Vehicles, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems September 25-30, 2011. San Francisco, CA, USA.

DOI: 10.1109/iros.2013.6696406

[8] Arduino Forum, http: /www. arduino. cc/forum.

[9] DIY DRONES, http: /www. diydrones. com.

[10] Wookong-M Waypoint, http: /www. dji-innovations. com/products/wkm-waypoint/overview.

[11] The X100 Revolutionary Mapping, http: /www. gatewing. com/X100.

[12] Build Your Quadopter, page 33-45, IEEE Robotics & Automations Magazine, Vol. 19, No. 3, September 2012, ISN 1070-9932.