Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm
As a real time process, in tuning the coefficients of PID controllers in AVRs, accuracy vs. speed is an important issue. Considering complexity of the problem and real systems requirements, various methods, including exact methods and approximation algorithms, have been implemented for this purpose....
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| Language: | English |
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OICC Press
2024-02-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/4907 |
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| author | Maryam Ehsani Morassae Shafiezad |
| author_facet | Maryam Ehsani Morassae Shafiezad |
| author_sort | Maryam Ehsani |
| collection | DOAJ |
| description | As a real time process, in tuning the coefficients of PID controllers in AVRs, accuracy vs. speed is an important issue. Considering complexity of the problem and real systems requirements, various methods, including exact methods and approximation algorithms, have been implemented for this purpose. Since the conventional methods based on meta-heuristic algorithms solving this problem, generally use population-based algorithms such as GA and PSO, this paper aims to investigate the efficiency and performance of single- solution based metaheuristics to solve this problem. So Simulated Annealing (SA) algorithm is proposed, and implemented for optimizing PID coefficients. In addition, an extension of SA is presented improving the search strategy based on neighborhood adjustment. The results indicate that the proposed algorithms as single based metaheuristics, have a good or even better performance vs. population based metaheuristics, in spite of simplicity in implementation and less computation requirements. This fact implies that the landscape complexity of these problems does not necessarily require population-based algorithms. The presented method is also applied to multiple objective functions regarding different time response criteria in output voltage and leads to better results in less time. |
| format | Article |
| id | doaj-art-be48458d1a3e4c8489c4ce214aae890f |
| institution | OA Journals |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-be48458d1a3e4c8489c4ce214aae890f2025-08-20T02:01:40ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-0115110.52547/mjee.15.1.25Tuning of PID Controller Coefficients for AVR Systems by SA AlgorithmMaryam Ehsani0Morassae Shafiezad1Department of Electrical Engineering, Arak University of Technology, Arak, Iran.Department of Electrical Engineering, Arak University of Technology, Arak, Iran.As a real time process, in tuning the coefficients of PID controllers in AVRs, accuracy vs. speed is an important issue. Considering complexity of the problem and real systems requirements, various methods, including exact methods and approximation algorithms, have been implemented for this purpose. Since the conventional methods based on meta-heuristic algorithms solving this problem, generally use population-based algorithms such as GA and PSO, this paper aims to investigate the efficiency and performance of single- solution based metaheuristics to solve this problem. So Simulated Annealing (SA) algorithm is proposed, and implemented for optimizing PID coefficients. In addition, an extension of SA is presented improving the search strategy based on neighborhood adjustment. The results indicate that the proposed algorithms as single based metaheuristics, have a good or even better performance vs. population based metaheuristics, in spite of simplicity in implementation and less computation requirements. This fact implies that the landscape complexity of these problems does not necessarily require population-based algorithms. The presented method is also applied to multiple objective functions regarding different time response criteria in output voltage and leads to better results in less time.https://oiccpress.com/mjee/article/view/4907AVR systemPID ControllerPopulation based and Single-solution based Metaheuristics AlgorithmsSimulated Annealing AlgorithmSwitched boost inverter |
| spellingShingle | Maryam Ehsani Morassae Shafiezad Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm Majlesi Journal of Electrical Engineering AVR system PID Controller Population based and Single-solution based Metaheuristics Algorithms Simulated Annealing Algorithm Switched boost inverter |
| title | Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm |
| title_full | Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm |
| title_fullStr | Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm |
| title_full_unstemmed | Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm |
| title_short | Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm |
| title_sort | tuning of pid controller coefficients for avr systems by sa algorithm |
| topic | AVR system PID Controller Population based and Single-solution based Metaheuristics Algorithms Simulated Annealing Algorithm Switched boost inverter |
| url | https://oiccpress.com/mjee/article/view/4907 |
| work_keys_str_mv | AT maryamehsani tuningofpidcontrollercoefficientsforavrsystemsbysaalgorithm AT morassaeshafiezad tuningofpidcontrollercoefficientsforavrsystemsbysaalgorithm |