An Improved Marine Predators Algorithm-Tuned Fractional-Order PID Controller for Automatic Voltage Regulator System

One of the most popular controllers for the automatic voltage regulator (AVR) in maintaining the voltage level of a synchronous generator is the fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning the FOPID controller is challenging since there are five gains...

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Veröffentlicht in:Fractal and fractional Jg. 7; H. 7; S. 561
Hauptverfasser: Mohd Tumari, Mohd Zaidi, Ahmad, Mohd Ashraf, Suid, Mohd Helmi, Hao, Mok Ren
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.07.2023
Schlagworte:
Algorithms
Analysis
automatic voltage regulator
Controllers
Electric current regulators
fractional-order PID controller
Genetic algorithms
Heuristic methods
marine predators algorithm
metaheuristic algorithms
Optimization
Optimization algorithms
Optimization techniques
Parameter uncertainty
Predators
Proportional integral derivative
Rank tests
Rankings
Researchers
Stability analysis
Statistical analysis
Step response
Synchronous machines
Transient response
Tuning
Voltage regulators
Malaysia
ISSN:2504-3110, 2504-3110
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Zusammenfassung:One of the most popular controllers for the automatic voltage regulator (AVR) in maintaining the voltage level of a synchronous generator is the fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning the FOPID controller is challenging since there are five gains compared to the three gains of a conventional proportional–integral–derivative (PID) controller. Therefore, this research work presents a variant of the marine predators algorithm (MPA) for tuning the FOPID controller of the AVR system. Here, two modifications are applied to the existing MPA: the hybridization between MPA and the safe experimentation dynamics algorithm (SEDA) in the updating mechanism to solve the local optima issue, and the introduction of a tunable step size adaptive coefficient (CF) to improve the searching capability. The effectiveness of the proposed method in tuning the FOPID controller of the AVR system was assessed in terms of the convergence curve of the objective function, the statistical analysis of the objective function, Wilcoxon’s rank test, the step response analysis, stability analyses, and robustness analyses where the AVR system was subjected to noise, disturbance, and parameter uncertainties. We have shown that our proposed controller has improved the AVR system’s transient response and also produced about two times better results for objective function compared with other recent metaheuristic optimization-tuned FOPID controllers.
Bibliographie:ObjectType-Article-1
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ISSN:2504-3110
2504-3110
DOI:10.3390/fractalfract7070561