A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network
This paper proposes a novel control strategy for controlling the uninterruptible power supply (UPS) inverter, which is based on backstepping control theory combined with a fuzzy neural network (FNN). The advantage of backstepping control is that it can decompose a complex system into multiple subsys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10013671/ |
| _version_ | 1797902195779174400 |
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| author | Yanfei Dong Guoyong Zhang Guofeng He Wenjie Si |
| author_facet | Yanfei Dong Guoyong Zhang Guofeng He Wenjie Si |
| author_sort | Yanfei Dong |
| collection | DOAJ |
| description | This paper proposes a novel control strategy for controlling the uninterruptible power supply (UPS) inverter, which is based on backstepping control theory combined with a fuzzy neural network (FNN). The advantage of backstepping control is that it can decompose a complex system into multiple subsystems, stabilize the control object according to Lyapunov stability theory, and simplify the controller design. However, it requires prior knowledge of multiple system parameters. FNN can approximate arbitrary nonlinear functions and system errors, which can reduce the parameters required for controller design. Hence, Combining the advantages of both methods, a UPS inverter control method with only a few parameters is designed. Then the sliding mode gain is added to compensate for the fuzzy neural network to reduce the chattering when the system operates and ensure the needed power quality. To verify the effectiveness of the proposed control system, the effectiveness of the proposed method is verified by a simulation experiment platform. |
| first_indexed | 2024-04-10T09:13:52Z |
| format | Article |
| id | doaj.art-0e904cdd808241bba0c634998600c4bc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T09:13:52Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0e904cdd808241bba0c634998600c4bc2023-02-21T00:02:24ZengIEEEIEEE Access2169-35362023-01-01115306531310.1109/ACCESS.2023.323588510013671A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural NetworkYanfei Dong0Guoyong Zhang1https://orcid.org/0000-0003-0746-1419Guofeng He2https://orcid.org/0000-0001-5674-4453Wenjie Si3School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan, ChinaThis paper proposes a novel control strategy for controlling the uninterruptible power supply (UPS) inverter, which is based on backstepping control theory combined with a fuzzy neural network (FNN). The advantage of backstepping control is that it can decompose a complex system into multiple subsystems, stabilize the control object according to Lyapunov stability theory, and simplify the controller design. However, it requires prior knowledge of multiple system parameters. FNN can approximate arbitrary nonlinear functions and system errors, which can reduce the parameters required for controller design. Hence, Combining the advantages of both methods, a UPS inverter control method with only a few parameters is designed. Then the sliding mode gain is added to compensate for the fuzzy neural network to reduce the chattering when the system operates and ensure the needed power quality. To verify the effectiveness of the proposed control system, the effectiveness of the proposed method is verified by a simulation experiment platform.https://ieeexplore.ieee.org/document/10013671/Power qualityfuzzy neural network (FNN)backstepping controluninterruptible power supply (UPS) |
| spellingShingle | Yanfei Dong Guoyong Zhang Guofeng He Wenjie Si A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network IEEE Access Power quality fuzzy neural network (FNN) backstepping control uninterruptible power supply (UPS) |
| title | A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network |
| title_full | A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network |
| title_fullStr | A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network |
| title_full_unstemmed | A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network |
| title_short | A Novel Control Strategy for Uninterruptible Power Supply Based on Backstepping and Fuzzy Neural Network |
| title_sort | novel control strategy for uninterruptible power supply based on backstepping and fuzzy neural network |
| topic | Power quality fuzzy neural network (FNN) backstepping control uninterruptible power supply (UPS) |
| url | https://ieeexplore.ieee.org/document/10013671/ |
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