JOURNAL ARTICLE

Robust stabilization of interval fractional‐order plants with an interval time delay by fractional‐order proportional integral derivative controllers

Majid GhorbaniAleksei TepljakovEduard Petlenkov

Year: 2023 Journal:   IET Control Theory and Applications Vol: 18 (5)Pages: 614-625   Publisher: Institution of Engineering and Technology

Abstract

Abstract This paper concentrates on presenting a reliable procedure to compute the stabilizing region of fractional‐order proportional integral derivative (FOPID) controllers for interval fractional‐order plants having an interval time delay. An interval fractional‐order plant is defined as a fractional‐order transfer function whose denominator and numerator coefficients are all uncertain and lie in specified intervals. Also, an interval time delay points to a delay term whose value varies in a specific interval. The D‐decomposition technique and the value set concept are employed to determine the stabilizing region of FOPID controllers. In this study, first, a theorem is presented to compute the boundary of the value sets of systems having interval time day. Then, a lemma is provided for robust stability analysis of the given closed‐loop control system. For a convenient use of the paper results, an algorithm is proposed to solve the problem of robustly stabilizing interval fractional‐order plants with an interval time delay using FOPID controllers. Finally, four examples are provided to illustrate the proposed procedure.

Keywords:
Interval (graph theory) Mathematics Control theory (sociology) Fractional calculus Stability (learning theory) Lemma (botany) Transfer function Fractional-order system Order (exchange) Applied mathematics Computer science Control (management) Combinatorics

Metrics

2
Cited By
0.50
FWCI (Field Weighted Citation Impact)
35
Refs
0.62
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Extremum Seeking Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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