4.6 Article

Robust H∞-PID control Stability of fractional-order linear systems with Polytopic and two-norm bounded uncertainties subject to input saturation

Journal

MATHEMATICS AND COMPUTERS IN SIMULATION
Volume 208, Issue -, Pages 550-581

Publisher

ELSEVIER
DOI: 10.1016/j.matcom.2023.01.025

Keywords

Output feedback; PID; LMIs; Input saturation; Convex Poly-topic uncertainty; Two-norm bounded uncertainty; Stable region; Region of attraction enlargement

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This paper presents a H infinity proportional-integral-derivative (PID) control mechanism for structural uncertain fractional order linear systems with convex polytopic and two-norm bounded uncertainties subject to input saturation. The stability analysis and stabilization of the system are investigated using the Gronwall-Bellman lemma and the sector condition of the saturation function. The main strategy is to design a fractional order PID controller under input saturation problem using a non-iterative strategy based on the LMI. The validity and superiority of the proposed method are shown through a numerical example.
This paper deals a type of H infinity proportional-integral-derivative (PID) control mechanism for a type of structural uncertain fractional order linear systems by convex Polytopic and two-norm bounded uncertainties subject to input saturation which mainly focuses on the case of a fractional order alpha such that 0 < alpha < 1. The Gronwall-Bellman lemma and the sector condition of the saturation function are investigated for system stability analysis and stabilization. The main strategy of the presented strategy is to restore fractional order PID controller design under input saturation problem from static output feedback controller design. Unlike existing strategies, non-iterative strategy is used to get optimal output feedback based on the LMI. On the premise of a linear matrix inequality algorithm, the SOF control laws can be obtained. After that, the fractional-order PID controller is recovered from the SOF controller. A numerical example is provided in order to show the validity and superiority of the proposed method.(c) 2023 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

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