ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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vol 61 / SEPTEMBER, 2018
Article

DOI 10.17586/0021-3454-2017-60-9-834-841

UDC 681.51

ROBOTIC TRACKING SYSTEM WITH FAST ADAPTATION TO UNKNOWN TRAJECTORY OF MOVEMENT

O. I. Borisov
ITMO University, Saint Petersburg, 197101, Russian Federation; postgraduate,engineer


V. S. Gromov
ITMO University, Saint Petersburg, 197101, Russian Federation; postgraduate, engineer


A. A. Vedyakov
ITMO University, Saint Petersburg, 197101, Russian Federation; assistant


S. V. Shavetov
ITMO University; Student


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Abstract. The problem of tracking of a multi-sinusoidal signal with unknown parameters is solved with the use of a robotic system. The main feature of the proposed approach is a fast frequency estimation using the dynamic regressor extension and mixing (DREM) method allowing to improve performance of simultaneous multiple frequencies estimation. The developed compensation algorithm makes it possible to solve the problem in the presence of time delays. Results of the experimental study and comparison analysis of the robotic tracking system based on DREM and classical gradient methods are presented.
Keywords: frequency estimation, multi-sinusoidal signal compensation, adaptation, tracking, robotic system

References:
  1. Belleter D.J.W., Breu D.A., Fossen T.I., Nijmeijer H. IFAC Proc. Volumes (IFAC-PapersOnline),2013, no. 1(9), рр. 209–214. DOI: 10.3182/20130918-4-JP-3022.00016.
  2. Belleter D.J.W., Galeazzi R., Fossen T.I. Ocean Engineering, 2015, no. 97, рр. 48–56. DOI: 10.1016/j.oceaneng.2014.12.030.
  3. Yang B., Liu C., Zheng W., Liu S. Information Fusion, 2017, no. 35, рр. 58–67. DOI: 10.1016/j.inffus.2016.09.004.
  4. Zapateiro M., Vidal Y., Acho L. Communications in Nonlinear Science and Numerical Simulation, 2014, no. 4(19), рр. 991–1003. DOI: 10.1016/j.cnsns.2013.07.029.
  5. Wu B., Bodson M. IEEE Transact. on Automatic Control, 2003, no. 4(48), рр. 612–618. DOI: 10.1109/TAC.2003.809796.
  6. Hsu L., Ortega R., Damm G. IEEE Transact. on Automatic Control, 1999, no. 4(44), рр. 698–713. DOI: 10.1109/9.754808.
  7. Mojiri M., Bakhshai A.R.IEEE Transact. on Automatic Control, 2004, no. 2(49), рр. 314–318. DOI: 10.1109/TAC.2003.821414.
  8. Syed A.A., Sun Q., Foroosh H. Signal Processing, 2016, no. 129, рр. 67–81. DOI: 10.1016/j.sigpro.2016.05.024.
  9. Liu H., Li Y., Zhou Y., Chang H.-C., Truong T.-K. Digital Signal Processing: A Review Journal, 2016, no. 57, рр. 34–45. DOI: 10.1016/j.dsp.2016.06.012.
  10. Ioannou P.A., Sun J. Robust Adaptive Control, Courier Corporation, 2012.
  11. Aranovskiy S.V., Bobtsov A.A., Van Ts., Nikolaev N.A., Pyrkin A.A.Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, no. 3(16), рр.565–567. DOI: 10.17586/2226-1494-2016-16-3-565-567. (in Russ.)
  12. Gritsenko P.A., Aranovskiy S.V., Bobtsov A.A., Pyrkin A.A.Journal of Instrument Engineering,2015, no. 8(58), рр.587–592.DOI: 10.17586/0021-3454-2015-58-8-587-592. (in Russ.)
  13. Aranovskiy S., Bobtsov A., Ortega R., Pyrkin A. IEEE Transact. on Automatic Control, 2016. DOI: 10.1109/TAC.2016.2614889.
  14. Aranovskiy S., Bobtsov A., Ortega R., Pyrkin A. IFAC-PapersOnLine, 2016, no. 13(49), рр.99–104. DOI: 10.1016/j.ifacol.2016.07.934.
  15. Gromov V.S., Borisov O.I., Vedyakov A.A., Pyrkin A.A., Shavetov S.V., Bobtsov A.A., Salikhov V.I., Aranovskiy S.V.IFAC-PapersOnLine, 2016, no. 13(49), рр.105–110. DOI: 10.1016/j.ifacol.2016.07.935.