Estimation and Control of an UAV using Kalman Filter and Relay Feedback Autotuning Method

  • Laith S. Ismail
  • Ciprian Lupu
Palabras clave: quadcopter, UAV, Relay feedback method, PID control, Kalman filter, Real time implementation

Resumen

An unmanned aerial vehicle (UAV) also known as Unmanned Aerial Systems (UAS) or Drone. UAV can be a remote-controlled aircraft or pre-programmed route. UAV are gaining popularity and demand in the commercial sector and for personal, hobbyist use. There is an increasing demand for UAV in areas such as thermal scanning, delivery, and mapping in areas, which are time-con- suming, difficult, or dangerous for a conventional approach. The design dis- cussed in this paper is basing on the development of UAV quadrotor helicopter (Quad Copter), software, modeling, estimation, and control system. The esti- mation depends on Kalman filter and the control part depend on Relay feed- back autotuning PID control method. The implementation is divided into two parts, simulation by using (Matlab) and real-time Implementation by using (LabVIEW and Arduino). The solution in this paper is used low-cost devices and tools such as Arduino and its use in building an educational platform and linking it with an industrial program such as the LabVIEW.

Biografía del autor/a

Laith S. Ismail
Automatic Control and Computers Science Politehnica University of Bucharest, Computer Techs. Eng. Dep. Al Turath University Baghdad, Iraq
Ciprian Lupu
Automatic Control and Computers Science Politehnica University of Bucharest Bucharest, Romania

Citas

“ICAO’s circular 328 AN/190: Unmanned aircraft systems’’. ICAO. Retrieved 3 February 2016.

Luukkonen T.: Modelling and Control of a Quadcopter.

Benić, Z.; Piljek, P. and Kotarski, D.: Mathematical modelling of unmanned aerial vehicles with four rotors.

I. Diemen, A. Arisoy, and H. Temeltas, “Attitude control of a quad- rotor,” in Recent Advances in Space Technologies, 2009. RAST’09.

th International Conference on, pp. 722–727, 2009.

Katsuhiko Ogata, “Modern Control Engineering”.5th pp 567- 648, 2008.

National Instruments,” LabVIEW PID and Fuzzy Logic Toolkit User Manual”, June 2009.

R. W. Beard and T. W. McLain. Small unmanned Aircraft Theory and Practice. Princeton, 2012.

T. I. Fossen. Handbook of Marine Craft Hydrodynamics and Mo- tion Control. Wiley, 2011.

S. Levy, S. Korotkin, K, Hadad. A. Ellenbogen, M. Arad, Y. Kad- mon, “PID autotuning using Relay feedback”27th Convention of Electrical and Electronics Engineers in Israel, IEEE, 2012.

P. I. Corke, Robotics, Vision&Control: Fundamental Algorithms in Matlab. Springer, 2011.

LabVIEW Software. http://www.ni.com/ro-ro/shop/labview. html Accessed: 2019-03-13.

Mary Jermila M, Anju Iqubal, Soumya Raj. “Pid tuning using Relay Feedback” Vol. 2 Issue 4, April – 2013.

LINX Software. <https://www.labviewmakerhub.com>. Ac- cessed: 2018-2-4.

Publicado
2019-06-09
Cómo citar
Ismail, L. S., & Lupu, C. (2019). Estimation and Control of an UAV using Kalman Filter and Relay Feedback Autotuning Method. Opción, 35, 2899-2921. Recuperado a partir de https://www.produccioncientificaluz.org/index.php/opcion/article/view/31165