ANFIS robust control application and analysis for load frequency control with nonlinearity
Abstract This study investigates and demonstrates the adaptive neuro-fuzzy inference system (ANFIS) controller performance on a dynamic system with inherent nonlinearity. Here, dynamics of automatic load frequency control is considered under this case. The ANFIS controller is designed, trained, and...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-12-01
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| Series: | Journal of Electrical Systems and Information Technology |
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| Online Access: | https://doi.org/10.1186/s43067-024-00175-9 |
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| author | Krishna Kumar Madhulika Das Amrendra Kumar Karn |
| author_facet | Krishna Kumar Madhulika Das Amrendra Kumar Karn |
| author_sort | Krishna Kumar |
| collection | DOAJ |
| description | Abstract This study investigates and demonstrates the adaptive neuro-fuzzy inference system (ANFIS) controller performance on a dynamic system with inherent nonlinearity. Here, dynamics of automatic load frequency control is considered under this case. The ANFIS controller is designed, trained, and optimized to regulate the frequency deviation of an isolated power delivery area. The frequency deviation data under a sample disturbance are taken with the desired control effort and are picked to train with five different membership functions. The tuning is carried out by the hybrid method. The ANFIS controller, developed, yields a better result, with less settling time of up to 20 s than the standard disturbance rejection proportional–integral–derivative (PID) controller takes. Designed ANFIS performs very robustly considering variations in inertia and damping. All the experimental setup is built under a MATLAB Simulink environment. |
| format | Article |
| id | doaj-art-e981921ee6ef4564aa1a906c769f655d |
| institution | Kabale University |
| issn | 2314-7172 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Electrical Systems and Information Technology |
| spelling | doaj-art-e981921ee6ef4564aa1a906c769f655d2025-01-05T12:11:17ZengSpringerOpenJournal of Electrical Systems and Information Technology2314-71722024-12-0111112410.1186/s43067-024-00175-9ANFIS robust control application and analysis for load frequency control with nonlinearityKrishna Kumar0Madhulika Das1Amrendra Kumar Karn2Department of Electrical and Electronics Engineering, Vidya Vihar Institute of TechnologyDepartment of Electrical Engineering, CbitDepartment of Electrical Engineering, ZHCETAbstract This study investigates and demonstrates the adaptive neuro-fuzzy inference system (ANFIS) controller performance on a dynamic system with inherent nonlinearity. Here, dynamics of automatic load frequency control is considered under this case. The ANFIS controller is designed, trained, and optimized to regulate the frequency deviation of an isolated power delivery area. The frequency deviation data under a sample disturbance are taken with the desired control effort and are picked to train with five different membership functions. The tuning is carried out by the hybrid method. The ANFIS controller, developed, yields a better result, with less settling time of up to 20 s than the standard disturbance rejection proportional–integral–derivative (PID) controller takes. Designed ANFIS performs very robustly considering variations in inertia and damping. All the experimental setup is built under a MATLAB Simulink environment.https://doi.org/10.1186/s43067-024-00175-9ANFISLoad frequency control (LFC)NonlinearityDamping variationSingle-area control |
| spellingShingle | Krishna Kumar Madhulika Das Amrendra Kumar Karn ANFIS robust control application and analysis for load frequency control with nonlinearity Journal of Electrical Systems and Information Technology ANFIS Load frequency control (LFC) Nonlinearity Damping variation Single-area control |
| title | ANFIS robust control application and analysis for load frequency control with nonlinearity |
| title_full | ANFIS robust control application and analysis for load frequency control with nonlinearity |
| title_fullStr | ANFIS robust control application and analysis for load frequency control with nonlinearity |
| title_full_unstemmed | ANFIS robust control application and analysis for load frequency control with nonlinearity |
| title_short | ANFIS robust control application and analysis for load frequency control with nonlinearity |
| title_sort | anfis robust control application and analysis for load frequency control with nonlinearity |
| topic | ANFIS Load frequency control (LFC) Nonlinearity Damping variation Single-area control |
| url | https://doi.org/10.1186/s43067-024-00175-9 |
| work_keys_str_mv | AT krishnakumar anfisrobustcontrolapplicationandanalysisforloadfrequencycontrolwithnonlinearity AT madhulikadas anfisrobustcontrolapplicationandanalysisforloadfrequencycontrolwithnonlinearity AT amrendrakumarkarn anfisrobustcontrolapplicationandanalysisforloadfrequencycontrolwithnonlinearity |