An integer order approximation method based on stability boundary locus for fractional order derivative/integrator operators


DENİZ F. N., ALAGÖZ B. B., TAN N., Atherton D. P.

ISA TRANSACTIONS, cilt.62, ss.154-163, 2016 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 62
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.isatra.2016.01.020
  • Dergi Adı: ISA TRANSACTIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.154-163
  • Anahtar Kelimeler: Fractional order operators, Integer order approximation, Fractional order control system, Stability boundary locus, PID CONTROLLERS, COMPUTATION
  • İnönü Üniversitesi Adresli: Evet

Özet

This paper introduces an integer order approximation method for numerical implementation of fractional order derivative/integrator operators in control systems. The proposed method is based on fitting the stability boundary locus (SBL) of fractional order derivative/integrator operators and SBL of integer order transfer functions. SBL defines a boundary in the parametric design plane of controller, which separates stable and unstable regions of a feedback control system and SBL analysis is mainly employed to graphically indicate the choice of controller parameters which result in stable operation of the feedback systems. This study reveals that the SBL curves of fractional order operators can be matched with integer order models in a limited frequency range. SBL fitting method provides straightforward solutions to obtain an integer order model approximation of fractional order operators and systems according to matching points from SBL of fractional order systems in desired frequency ranges. Thus, the proposed method can effectively deal with stability preservation problems of approximate models. Illustrative examples are given to show performance of the proposed method and results are compared with the well-known approximation methods developed for fractional order systems. The integer-order approximate modeling of fractional order PID controllers is also illustrated for control applications. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.