Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network
Modern power systems are complex and non-linear and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to control non-linear dynamic systems through learning, which can easily accommodate the non-linearity, time dependencies...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2015-04-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_101927_5a2a1a86df00f210a2db22d2aa5182f6.pdf |
| _version_ | 1797325799452311552 |
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| author | Abdulrahim Thiab Humod Yasir Thaier Haider |
| author_facet | Abdulrahim Thiab Humod Yasir Thaier Haider |
| author_sort | Abdulrahim Thiab Humod |
| collection | DOAJ |
| description | Modern power systems are complex and non-linear and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to control non-linear dynamic systems through learning, which can easily accommodate the non-linearity, time dependencies, model uncertainty and external disturbances.ANeuro-Fuzzy model system is proposed as an effective neural network controller model to achieve the desired robust Automatic Voltage Regulator (AVR) for Synchronous Generator (SG) to maintain constant terminal voltage. TheconcernedNeuro-fuzzy controller for AVRis examined on different models of SG andloads. The results show that the Neuro-Fuzzy -controllers have excellent responses for all SG models and loads in the view point of transientresponse and system stability compared with optimal PID controllers tuned by practical swarm optimization.They also show that the margins of robustness for Neuro-Fuzzy -controller aregreater thanPID controller. |
| first_indexed | 2024-03-08T06:14:41Z |
| format | Article |
| id | doaj.art-8ce8389585244b5db199b648fdd2f5dd |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:14:41Z |
| publishDate | 2015-04-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-8ce8389585244b5db199b648fdd2f5dd2024-02-04T17:28:17ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582015-04-01333A61262710.30684/etj.33.3A.7101927Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy NetworkAbdulrahim Thiab HumodYasir Thaier HaiderModern power systems are complex and non-linear and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to control non-linear dynamic systems through learning, which can easily accommodate the non-linearity, time dependencies, model uncertainty and external disturbances.ANeuro-Fuzzy model system is proposed as an effective neural network controller model to achieve the desired robust Automatic Voltage Regulator (AVR) for Synchronous Generator (SG) to maintain constant terminal voltage. TheconcernedNeuro-fuzzy controller for AVRis examined on different models of SG andloads. The results show that the Neuro-Fuzzy -controllers have excellent responses for all SG models and loads in the view point of transientresponse and system stability compared with optimal PID controllers tuned by practical swarm optimization.They also show that the margins of robustness for Neuro-Fuzzy -controller aregreater thanPID controller.https://etj.uotechnology.edu.iq/article_101927_5a2a1a86df00f210a2db22d2aa5182f6.pdfsynchronous generatorautomatic voltage regulatorneurofuzzy controllerpid controllerrobust avr |
| spellingShingle | Abdulrahim Thiab Humod Yasir Thaier Haider Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network Engineering and Technology Journal synchronous generator automatic voltage regulator neuro fuzzy controller pid controller robust avr |
| title | Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network |
| title_full | Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network |
| title_fullStr | Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network |
| title_full_unstemmed | Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network |
| title_short | Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network |
| title_sort | study the robustness of automatic voltage regulator for synchronous generator based on neuro fuzzy network |
| topic | synchronous generator automatic voltage regulator neuro fuzzy controller pid controller robust avr |
| url | https://etj.uotechnology.edu.iq/article_101927_5a2a1a86df00f210a2db22d2aa5182f6.pdf |
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