Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm
Voltage regulation in automatic voltage regulator (AVR) system has been one of the most challenging engineering problem due to the uncertain load condition. Therefore, the control of AVR system by using PID based controller is one of the essential approach to maintain the performance of the AVR syst...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098622001732 |
| _version_ | 1828200744735473664 |
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| author | RenHao Mok Mohd Ashraf Ahmad |
| author_facet | RenHao Mok Mohd Ashraf Ahmad |
| author_sort | RenHao Mok |
| collection | DOAJ |
| description | Voltage regulation in automatic voltage regulator (AVR) system has been one of the most challenging engineering problem due to the uncertain load condition. Therefore, the control of AVR system by using PID based controller is one of the essential approach to maintain the performance of the AVR system. Subsequently, the application of FOPID controller in AVR system is gaining more attention recently. This is because the FOPID has additional control parameters at the derivative and integral parts than the PID controller, which has the advantage to improve the output response of AVR system while retaining the robustness and simple construction as the PID controller. Nevertheless, many existing optimization tools for tuning the FOPID controller, which are based on multi-agent based optimization, require large number of function evaluation in their algorithm that could lead to high computational burden. Therefore, this study proposes a modified smoothed function algorithm (MSFA) based method to tune the FOPID controller of AVR system since it requires fewer number of function evaluation per iteration. Moreover, the proposed MSFA based method also can solve the unstable convergence issue in the original smoothed function algorithm (SFA), thus able to provide better convergence accuracy. The simulations of step response analysis, Bode plot analysis, trajectory tracking analysis, disturbance rejection analysis, and parameter variation analysis are conducted to evaluate the effectiveness of the proposed MSFA-FOPID controller of AVR system. Consequently, the results obtained from the simulations revealed that the proposed method is highly effective and significantly improved as compared to the other existing FOPID controllers. |
| first_indexed | 2024-04-12T11:18:02Z |
| format | Article |
| id | doaj.art-94e50c8928a94ee2a0463c057258f4ee |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-04-12T11:18:02Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-94e50c8928a94ee2a0463c057258f4ee2022-12-22T03:35:26ZengElsevierEngineering Science and Technology, an International Journal2215-09862022-11-0135101264Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithmRenHao Mok0Mohd Ashraf Ahmad1Corresponding authors.; Faculty of Electrical and Electronics Engineering Technology, University Malaysia Pahang, Pekan, MalaysiaCorresponding authors.; Faculty of Electrical and Electronics Engineering Technology, University Malaysia Pahang, Pekan, MalaysiaVoltage regulation in automatic voltage regulator (AVR) system has been one of the most challenging engineering problem due to the uncertain load condition. Therefore, the control of AVR system by using PID based controller is one of the essential approach to maintain the performance of the AVR system. Subsequently, the application of FOPID controller in AVR system is gaining more attention recently. This is because the FOPID has additional control parameters at the derivative and integral parts than the PID controller, which has the advantage to improve the output response of AVR system while retaining the robustness and simple construction as the PID controller. Nevertheless, many existing optimization tools for tuning the FOPID controller, which are based on multi-agent based optimization, require large number of function evaluation in their algorithm that could lead to high computational burden. Therefore, this study proposes a modified smoothed function algorithm (MSFA) based method to tune the FOPID controller of AVR system since it requires fewer number of function evaluation per iteration. Moreover, the proposed MSFA based method also can solve the unstable convergence issue in the original smoothed function algorithm (SFA), thus able to provide better convergence accuracy. The simulations of step response analysis, Bode plot analysis, trajectory tracking analysis, disturbance rejection analysis, and parameter variation analysis are conducted to evaluate the effectiveness of the proposed MSFA-FOPID controller of AVR system. Consequently, the results obtained from the simulations revealed that the proposed method is highly effective and significantly improved as compared to the other existing FOPID controllers.http://www.sciencedirect.com/science/article/pii/S2215098622001732Smoothed Functional AlgorithmAutomatic voltage regulatorFractional PID controllerGradient basedOptimization |
| spellingShingle | RenHao Mok Mohd Ashraf Ahmad Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm Engineering Science and Technology, an International Journal Smoothed Functional Algorithm Automatic voltage regulator Fractional PID controller Gradient based Optimization |
| title | Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm |
| title_full | Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm |
| title_fullStr | Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm |
| title_full_unstemmed | Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm |
| title_short | Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm |
| title_sort | fast and optimal tuning of fractional order pid controller for avr system based on memorizable smoothed functional algorithm |
| topic | Smoothed Functional Algorithm Automatic voltage regulator Fractional PID controller Gradient based Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2215098622001732 |
| work_keys_str_mv | AT renhaomok fastandoptimaltuningoffractionalorderpidcontrollerforavrsystembasedonmemorizablesmoothedfunctionalalgorithm AT mohdashrafahmad fastandoptimaltuningoffractionalorderpidcontrollerforavrsystembasedonmemorizablesmoothedfunctionalalgorithm |