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Measurement errors determination using identification techniques

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Identification of measurement errors applied to UAV Cularis flight-test data is presented. Data preparation for identification process is considered as it often decides of the successful identification. The problem of data synchronization is solved on the signal processing level by introducing interpolation procedure before applying identification algorithm. The identification method based on quazi-linearization optimization technique together with relaxation strategy is implemented in Matlab environment in order to pursue simulation tests. The nonlinear airplane equations of motion are formulated in body –axis and only kinematic quantities are exploited. The preliminary simulation test results indicates successful identification of measurement errors.
Rocznik
Tom
Strony
111--119
Opis fizyczny
Bibliogr. 25 poz., wykr.
Twórcy
autor
  • Politechnika Warszawska, Warszawa
autor
  • Politechnika Warszawska, Warszawa
Bibliografia
  • [1] Andrzejczak M., Narkiewicz J.:An on-Line System Prediction of the Vessel Position Based on Julier-Uhlmann Filter, Proceedings of 11th Saint Petersburg International Conference On Integrated Navigation Systems, Saint Petersburg, 2004.
  • [2] Bibik P., Narkiewicz J.: Helicopter Modeling and Optimal Control in Autorotation, American Helicopter Society 64th Annual Forum, Montreal, Canada, 2008.
  • [3] Cook M.V.: Flight dynamics principles, Elsevier/ Butterworth- Heinemann, Amsterdam, 2007.
  • [4] Jategaonkar R.V.: Flight Vehicle System Identification - A Time Domain Methodology, 1st edition, AIAA, Reston , Virginia, 2006.
  • [5] Jarzębowska, E.: A Velocity Observer Design for Tracking Task-Based Motions of Unicycle Type Mobile Robots, Communications in Nonlinear Science and Numerical Simulation, Elsevier, 2011, Vol.16, pp. 2301-2307.
  • [6] Jarzębowska E.: Quasi-Coordinates Based Dynamics Modeling and Control Design for Nonholonomic Systems, Nonlinear Analysis, 2008, Vol. 16, no. 16, pp. 1741-1754.
  • [7] Jȩdrasiak K., Nawrat A.: Image recognition technique for unmanned aerial vehicles, Computer Vision and Graphics, Springer Berlin Heidelberg, 2009, pp.391-399.
  • [8] Klein V., Morelli E.A.: Aircraft system identification-Theory and Practice, AIAA, Blackburg, Virginia, 2006.
  • [9] Kopecki G., Nowak D., Żugaj M.: Preliminary results of UAV flight test, XVI Conference of Mechanics in Aviation, Kazimierz Dolny, Poland, 2014
  • [10] Layton, R.A.: Principles of analytical system dynamics, Springer-Verlag, New York, 1998.
  • [11] Mężyk A., The use of optimization procedures in tuning vibration dampers, Engineering Optimization, 2002, Vol. 34 Iss. 5, pp. 503-521.
  • [12] Mężyk A., Dobrzaniecki P.: Optimization of operating parameters of the drive system on the example of a mining rail-vehicle, Industrial Transport and Machines, 2011, nr 2, pp. 46-49.
  • [13] Mężyk A., Świtoński E., Kciuk S., Klein W.: Modeling and Investigation of Dynamic Parameters of Tracked Vehicles, Mechanics and Mechanical Engineering, Lodz, 2011, Vol. 15, No. 4, pp. 115-130.
  • [14] Moore, H.: Matlab for Engineers, Upper Saddle River, N.J., Pearson Prentice Hall, 2007.
  • [15] Narkiewicz, J., Świętoń, G., Andrzejczak M.: Autopilot with adaptive vessel modelling, Annual of Navigation, 2009, pp. 93-100.
  • [16] Nawrat A., Skorek J.: Inverse approach and sensitivity analysis for identification of ingot mould thermal resistance in continuous casting of metals, International Journal of Computational Fluid Dynamics, 2005, ISSN: 1061 8562.
  • [17] Nowak D., Kopecki G., Żugaj M., Rzucidło P.: Small RPAS in flight testing - programme and result analysis, 11th International Seminar Research and Education in Aircraft Design, Vilnius, Lithuania, 2014.
  • [18] Ulinowicz M., Narkiewicz J.:, Aircraft Parameter Identification using Genetic Algorithms, Proc. of 29th Congress of the Intern. Council of the Aeronautical Sciences, St. Petersburg, Russia, 2014.
  • [19] Ulinowicz M.: Identification of Aeronautcal System Parameters Using a Genetic Algorithm, Ph.D. Thesis, OWPW, Warsaw, Poland, 2013.
  • [20] Ulinowicz M., Narkiewicz J:. Identification of EMA dynamic model, Mechatronics Recent Technological and Scientific Advances, Springer, Berlin, 2011, ISBN 978-3-642-23243-5, pp. 375-385.
  • [21] Ulinowicz M., Narkiewicz J.: Modeling and identification of actuator for flap deflection, Journal of Automation, Mobile Robotics & Intelligent Systems JAMRIS, 2012.
  • [22] Zugaj M., Narkiewicz J.: Autopilot for Reconfigurable Flight Control System, 7th International Seminar on Recent Research and Design Progress in Aeronautical Engineering and Its Influence on Education, Tallin, Estonia, 2006.
  • [23] Zugaj M., Narkiewicz J.: Autopilot for Reconfigurable Flight Control System. ASCE (American Society of Civil Engineers) Journal of Aerospace Engineering, volume 22, Number 1, January 2009, pp. 78-84.
  • [24] Wang X., Zhao X., Tan M.: Modeling, Identification and Robust Control of Yaw Dynamics of Small-Scale Unmanned Helicopters, Fifth International Conference on Natutal Computation, 2009, Vol. 2, pp. 273-276.
  • [25] Woloszczuk, A., Andrzejczak, M., and Szynkarczyk P.: Architecture of mobile robotics platform planned for intelligent robotic porter system-IRPS project, Journal of Automation Mobile Robotics and Intelligent Systems 1,2007 , pp.59-63.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c948a50a-b470-4dd7-b648-d1c88592b0b5
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