Journal of Automation and Control
ISSN (Print): 2372-3033 ISSN (Online): 2372-3041 Website: http://www.sciepub.com/journal/automation Editor-in-chief: Santosh Nanda
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Journal of Automation and Control. 2014, 2(3), 86-90
DOI: 10.12691/automation-2-3-4
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Model of Stabilization of Helicopter in Hover Mode over a Given Point Object under Destabilizing Action of Weather Conditions

Vasiliy Kazak1, Dmitry Shevchuk1 and Nataliia Tymoshenko1,

1National Aviation University, Kiev, Ukraine

Pub. Date: November 13, 2014

Cite this paper:
Vasiliy Kazak, Dmitry Shevchuk and Nataliia Tymoshenko. Model of Stabilization of Helicopter in Hover Mode over a Given Point Object under Destabilizing Action of Weather Conditions. Journal of Automation and Control. 2014; 2(3):86-90. doi: 10.12691/automation-2-3-4

Abstract

The design problem of the high precision stabilizer for hovering of the helicopter about the point object as a part of the automatic control system (ACS) is considered. Here we substantiate method and models for hover mode of helicopter as well as measurements of parameters of this flight mode that requires smaller volume of calculation and preserves high speed and accuracy of stabilization. Also we investigate reduction of number of state vectors and volume of calculation via usage of extended Kalman filter (EKF) and standard sensors.

Keywords:
control control system helicopter filter perturbation stabilization

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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References:

[1]  Beltsov V. Holdin the Sky In the Strong Hands. All-Russian aerospace journal “Herald of Aviation and Cosmonautics”, No.1, 2000, pp. 8-10.
 
[2]  Raymond W. Prouty and H. C. Curtiss. Helicopter Control Systems: A History, Journal of Guidance, Control, and Dynamics, Vol. 26, No. 1, 2003, pp. 12-18.
 
[3]  Prouty R.W. Helicopter Performance, Stability, and Control. first ed. Krieger Publishing Company, London, United Kingdom, 2002, 746 pp.
 
[4]  Kazak V.N., Tunick A.A., Salimon V.I. System of Automatic and Semi-automatic Flight Control. Monograph. / Ed. by V.N Kazak K.: ed. NAU, 2002, 201 pp.
 
[5]  Livneh L., Slater G. Adaptive controller for wing flutter with unmeasurable excitations and unmodelled dynamics. “Int.J.Cont”, 1991, 53, No. 2, pp. 293-309.
 
[6]  Kazak V.M. Fundamentals of control and technical diagnostics. K.: NAU, 2013, 300 pp.
 
[7]  Kazak V.M. System recovery methods survivability of aircraft in special situations in flight: monograph / V.М. Kazak. – K.: NAU, 2010, 284 pp.
 
[8]  Paul Verges, Sammons, J.M., Balakrishman S., Speyer J.L., and Hull, D.G. “Development and Comparison of Optimal Filters” AFATL – TR-79-87, Oct. 1979.
 
[9]  Soderstrom T., Stoica P., Friedlander B. An indirect prediction error method for system identification. “Automatica”, 1991, 27, No.1, pp. 183-188.
 
[10]  Wentzel, E.S. Probability Theory: Proc. for universities. - 6th ed. sr. - M.: Higher. sch., 1999. 576 pp.