Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems
In the literature, different approaches that are employed in designing automatic voltage regulators (AVRs) usually model the AVR as a single-input-single-output system, where the input is the generator reference voltage, and the output is the generator voltage. Alternately, it could be thought of as...
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| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/7/10/765 |
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| author | Muhyaddin Rawa Sultan Alghamdi Martin Calasan Obaid Aldosari Ziad M. Ali Salem Alkhalaf Mihailo Micev Shady H. E. Abdel Aleem |
| author_facet | Muhyaddin Rawa Sultan Alghamdi Martin Calasan Obaid Aldosari Ziad M. Ali Salem Alkhalaf Mihailo Micev Shady H. E. Abdel Aleem |
| author_sort | Muhyaddin Rawa |
| collection | DOAJ |
| description | In the literature, different approaches that are employed in designing automatic voltage regulators (AVRs) usually model the AVR as a single-input-single-output system, where the input is the generator reference voltage, and the output is the generator voltage. Alternately, it could be thought of as a double-input, single-output system, with the excitation voltage change serving as the additional input. In this paper, unlike in the existing literature, we designed the AVR system as a sextuple-input single-output (6ISO) system. The inputs in the model include the generator reference voltage, regulator signal change, exciter signal change, amplifier signal change, generator output signal change, and the sensor signal change. We also compared the generator voltage responses for various structural configurations and regulator parameter choices reported in the literature. The effectiveness of numerous controllers is investigated; the proportional, integral and differential (PID) controller, the PID with second-order derivative (PIDD2) controller, and the fractional order PID (FOPID) controller are the most prevalent types of controllers. The findings reveal that the regulator signal change and the generator output signal change significantly impact the generator voltage. Based on these findings, we propose a new approach to design the regulator parameter to enhance the response to generator reference voltage changes. This approach takes into consideration changes in the generator reference voltage as well as the regulator signal. We calculate the regulator settings using a cutting-edge hybrid technique called the Particle Swarm Optimization African Vultures Optimization algorithm (PSO–AVOA). The effectiveness of the regulator design technique and the proposed optimization algorithm are demonstrated. |
| first_indexed | 2024-03-10T21:13:26Z |
| format | Article |
| id | doaj.art-1f40c0bde9104caf9db0c7621608d871 |
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| language | English |
| last_indexed | 2024-03-10T21:13:26Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj.art-1f40c0bde9104caf9db0c7621608d8712023-11-19T16:34:59ZengMDPI AGFractal and Fractional2504-31102023-10-0171076510.3390/fractalfract7100765Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR SystemsMuhyaddin Rawa0Sultan Alghamdi1Martin Calasan2Obaid Aldosari3Ziad M. Ali4Salem Alkhalaf5Mihailo Micev6Shady H. E. Abdel Aleem7Smart Grids Research Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi ArabiaSmart Grids Research Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi ArabiaFaculty of Electrical Engineering, University of Montenegro, Podgorica 81000, MontenegroElectrical Engineering Department, College of Engineering, Prince Sattam bin Abdulaziz University, Wadi Addawaser 11991, Saudi ArabiaElectrical Engineering Department, College of Engineering, Prince Sattam bin Abdulaziz University, Wadi Addawaser 11991, Saudi ArabiaDepartment of Computer, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Saudi ArabiaFaculty of Electrical Engineering, University of Montenegro, Podgorica 81000, MontenegroDepartment of Electrical Engineering, Institute of Aviation Engineering and Technology, Giza 12658, EgyptIn the literature, different approaches that are employed in designing automatic voltage regulators (AVRs) usually model the AVR as a single-input-single-output system, where the input is the generator reference voltage, and the output is the generator voltage. Alternately, it could be thought of as a double-input, single-output system, with the excitation voltage change serving as the additional input. In this paper, unlike in the existing literature, we designed the AVR system as a sextuple-input single-output (6ISO) system. The inputs in the model include the generator reference voltage, regulator signal change, exciter signal change, amplifier signal change, generator output signal change, and the sensor signal change. We also compared the generator voltage responses for various structural configurations and regulator parameter choices reported in the literature. The effectiveness of numerous controllers is investigated; the proportional, integral and differential (PID) controller, the PID with second-order derivative (PIDD2) controller, and the fractional order PID (FOPID) controller are the most prevalent types of controllers. The findings reveal that the regulator signal change and the generator output signal change significantly impact the generator voltage. Based on these findings, we propose a new approach to design the regulator parameter to enhance the response to generator reference voltage changes. This approach takes into consideration changes in the generator reference voltage as well as the regulator signal. We calculate the regulator settings using a cutting-edge hybrid technique called the Particle Swarm Optimization African Vultures Optimization algorithm (PSO–AVOA). The effectiveness of the regulator design technique and the proposed optimization algorithm are demonstrated.https://www.mdpi.com/2504-3110/7/10/7656ISO AVR systemsPID controllersfractional-order controllersdisturbance rejectionmathematical modelsoptimization |
| spellingShingle | Muhyaddin Rawa Sultan Alghamdi Martin Calasan Obaid Aldosari Ziad M. Ali Salem Alkhalaf Mihailo Micev Shady H. E. Abdel Aleem Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems Fractal and Fractional 6ISO AVR systems PID controllers fractional-order controllers disturbance rejection mathematical models optimization |
| title | Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems |
| title_full | Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems |
| title_fullStr | Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems |
| title_full_unstemmed | Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems |
| title_short | Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems |
| title_sort | disturbance rejection based optimal pid controllers for new 6iso avr systems |
| topic | 6ISO AVR systems PID controllers fractional-order controllers disturbance rejection mathematical models optimization |
| url | https://www.mdpi.com/2504-3110/7/10/765 |
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