Modified and Improved TID Controller for Automatic Voltage Regulator Systems

This paper proposes a fractional order integral-derivative plus second-order derivative with low-pass filters and a tilt controller called IλDND2N2-T to improve the control performance of an automatic voltage regulator (AVR). In this study, equilibrium optimisation (EO), multiverse optimisation (MVO), and particle swarm optimisation (PSO) algorithms are used to optimise the parameters of the proposed controller and statistical tests are performed with the data obtained from the application of these three algorithms to the AVR problem. Afterwards, the performance of the IλDND2N2-T controller is demonstrated by comparing the transient responses with the results obtained in recently published papers. In addition, extra disturbances such as frequency deviation, load variation, and short circuit faults in the generator are applied to the AVR system. The proposed controller has outperformed the compared controller against these disturbances. Finally, a robustness test is performed in terms of deterioration in the system parameters. The results show that the IλDND2N2-T controller outperforms the compared controllers under all conditions and exhibits a robust effect on the perturbed system parameters.

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Publication Details

Journal
Fractal and Fractional
Published
2024-11-11
DOI
https://doi.org/10.3390/fractalfract8110654
Citations
4
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

Modified and Improved TID Controller for Automatic Voltage Regulator Systems

Abdülsamed Tabak
4 citations
Fractal and Fractional
Advanced Control Systems Design
1.31
article

Modified and Improved TID Controller for Automatic Voltage Regulator Systems

Abdülsamed Tabak
article en
4 citations

Abstract

This paper proposes a fractional order integral-derivative plus second-order derivative with low-pass filters and a tilt controller called IλDND2N2-T to improve the control performance of an automatic voltage regulator (AVR). In this study, equilibrium optimisation (EO), multiverse optimisation (MVO), and particle swarm optimisation (PSO) algorithms are used to optimise the parameters of the proposed controller and statistical tests are performed with the data obtained from the application of these three algorithms to the AVR problem. Afterwards, the performance of the IλDND2N2-T controller is demonstrated by comparing the transient responses with the results obtained in recently published papers. In addition, extra disturbances such as frequency deviation, load variation, and short circuit faults in the generator are applied to the AVR system. The proposed controller has outperformed the compared controller against these disturbances. Finally, a robustness test is performed in terms of deterioration in the system parameters. The results show that the IλDND2N2-T controller outperforms the compared controllers under all conditions and exhibits a robust effect on the perturbed system parameters.

Fractal and FractionalVol. 8(11)
Necmettin Erbakan University (TR)
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Control Systems Design
1.31
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