Numerical Analysis of the Discrete, Fractional Order PID Controller Using FOBD Approximation

This paper proposes a methodology of the numerical testing of the discrete, approximated Fractional Order PID Controller (FOPID). The fractional parts of the controller are approximated using the Fractional Order Backward Difference (FOBD) operator. The goal of the analysis is to find the memory length optimum from point of view both accuracy and duration of computations. To do it new cost functions describing both accuracy and numerical complexity were proposed and applied. Results of tests indicate that the optimum memory length lies between 200 and 400. The proposed approach can be also useful to examine of another discrete implementations of a fractional order operator using FOBD.

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Publication Details

Journal
Pomiary Automatyka Robotyka
Published
2024-09-18
DOI
https://doi.org/10.14313/par_253/117
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.00
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article

Numerical Analysis of the Discrete, Fractional Order PID Controller Using FOBD Approximation

Krzysztof Oprzędkiewicz
Pomiary Automatyka Robotyka
Advanced Control Systems Design
article

Numerical Analysis of the Discrete, Fractional Order PID Controller Using FOBD Approximation

Krzysztof Oprzędkiewicz
article en

Abstract

This paper proposes a methodology of the numerical testing of the discrete, approximated Fractional Order PID Controller (FOPID). The fractional parts of the controller are approximated using the Fractional Order Backward Difference (FOBD) operator. The goal of the analysis is to find the memory length optimum from point of view both accuracy and duration of computations. To do it new cost functions describing both accuracy and numerical complexity were proposed and applied. Results of tests indicate that the optimum memory length lies between 200 and 400. The proposed approach can be also useful to examine of another discrete implementations of a fractional order operator using FOBD.

Pomiary Automatyka RobotykaVol. 28(3)
Openalex Percentile: Top 82%
Advanced Control Systems Design
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