USP Electronic Research Repository

Fractional - order two - input two - output process identification based on Haar operational matrix

Kothari, Kajal and Mehta, Utkal V. (2021) Fractional - order two - input two - output process identification based on Haar operational matrix. International Journal of Systems Science, 52 (7). pp. 1373-1385. ISSN 0020-7721

[img]
Preview
PDF - Published Version
Download (3332Kb) | Preview

    Abstract

    The identification of the multi-input-multi-output process is always challenging due to significant loop interactions. This article proposes an identification technique for two-input-two-output processes with fractional order models via the Haar wavelet feature. The presented technique can estimate independent four fractional single-pole time delay models without additional steps to decouple processes during identification. The method uses a well-known relay feedback test to produce the input-output data for measurements. Then, the Haar wavelet operational matrix-based algebraic approach is utilised to identify the unknown process models with reduced complexity. Numerical analysis on various examples show the efficacy even in presence of noise and without additional filter or preprocessing of measured signals. The comparative study proves the advantages of the presented approach.

    Item Type: Journal Article
    Uncontrolled Keywords: TITO process; fractional-order models; identification; Haar wavelet; operational matrix.
    Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > Robotics and Automation
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Utkal Mehta
    Date Deposited: 06 May 2021 15:31
    Last Modified: 06 May 2021 15:31
    URI: http://repository.usp.ac.fj/id/eprint/12778
    UNSPECIFIED

    Actions (login required)

    View Item

    Document Downloads

    More statistics for this item...