Skip to main content
Log in

Signal differentiation in automatic control systems

  • Linear Systems
  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

Realization of the traditional approaches to differentiation of signals in the automatic control systems is hindered by the negative effect of gain on the accuracy of differentiation and stability to high-frequency noise. An approach was proposed based on representing the considered signal as a power function with coefficients that are calculated by repeated integration and approximate the derivative of the original signal. At that, the accuracy of differentiation and the level of noise immunity can be improved by using more integrators, rather than increasing the gains.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Tsypkin, Ya.Z., Osnovy teorii avtomaticheskikh sistem (Fundamentals of the Theory of Automatic Systems), Moscow: Nauka, 1977. Translated under the title Grundlagen der Theorie automatischer Systeme, Berlin: VEB Verlag Technik, 1981.

    Google Scholar 

  2. Ryzhevskii, A.G. and Shabanov, D.V., Avtomatizatsiya kontrolya formy monoimpul’snykh signalov (Automated Monitoring of the Form of Monopulse Signals), Moscow: Energoatomizdat, 1986.

    Google Scholar 

  3. Emel’yanov, S.V., Izbrannye trudy (Selected Works), Moscow: Mosk. Gos. Univ., 2009, vol. 1.

    Google Scholar 

  4. Maistrenko, A.V., Svetlakov, A.A., and Starovoitov, N.V., Digital Differentiation of Signals Using Multipoint Methods in the Systems of Automatic Process Control, Dokl. TUSURa, 2009, no. 2(20), pp. 83–88.

    Google Scholar 

  5. Glinchenko, A.S., Tsifrovaya obrabotka signalov. Ch. 1, 2. Uch. pos. (Digital Signal Processing. P. 1 and 2. Textbook), Krasnoyarsk: Krasnoyar. Gos. Tekh. Univ., 2001.

    Google Scholar 

  6. Patrickeyev, I.A., Stepanov, R.A., and Frick, P.G., Wavelet Differentiation of Noisy Signals, Numer. Methods Programm., 2005, vol. 6, pp. 35–42.

    Google Scholar 

  7. Kalachev, M.G. and Petrovskii, A.M., Multiple Differentiation of a Signal with Bounded Spectrum, Autom. Remote Control, 1972, vol. 33, no 3, part 1, pp. 371–376.

    Google Scholar 

  8. Emel’yanov, S.V., Afanas’ev, A.P., and Tarasov, A.S., Signal Restoration by Multiple Integration, Dokl. Ross. Akad. Nauk, 2014, vol. 456, no. 2, pp. 155–158.

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. V. Emel’yanov.

Additional information

Original Russian Text © S.V. Emel’yanov, A.P. Afanas’ev, 2015, published in Avtomatika i Telemekhanika, 2015, No. 12, pp. 27–42.

This paper was recommended for publication by B.T. Polyak, a member of the Editorial Board

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Emel’yanov, S.V., Afanas’ev, A.P. Signal differentiation in automatic control systems. Autom Remote Control 76, 2110–2123 (2015). https://doi.org/10.1134/S0005117915120024

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0005117915120024

Keywords

Navigation