Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks
This paper presents an adaptive fractional sliding mode control scheme based on dual radial basis function (RBF) neural networks (NNs) to enhance the performance of a three-phase shunt active power filter (APF), where a conventional integer-order sliding surface is changed into a fractional-order on...
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8113472/ |
| _version_ | 1818912971997315072 |
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| author | Nixuan Liu Juntao Fei |
| author_facet | Nixuan Liu Juntao Fei |
| author_sort | Nixuan Liu |
| collection | DOAJ |
| description | This paper presents an adaptive fractional sliding mode control scheme based on dual radial basis function (RBF) neural networks (NNs) to enhance the performance of a three-phase shunt active power filter (APF), where a conventional integer-order sliding surface is changed into a fractional-order one to speed up the system response and optimize the control performance. Furthermore, the control scheme adopts a class of dual RBF NNs, in which the network weights can be updated online to approximate the nonlinear system functions and the upper bound of estimated disturbances, respectively, improving the system stability and robustness. Meanwhile, the adaptive control laws obtained by Lyapunov analysis can guarantee the system a stable operation. Finally, by comparing with the integer-order control strategy, the simulation results verify that this proposed controller has a better performance in the suppression of the harmonic, elimination of system uncertainties, and the reduction of current tracking error. |
| first_indexed | 2024-12-19T23:23:05Z |
| format | Article |
| id | doaj.art-49d1718b79054da3b5052a9b40ce8e53 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T23:23:05Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-49d1718b79054da3b5052a9b40ce8e532022-12-21T20:01:54ZengIEEEIEEE Access2169-35362017-01-015275902759810.1109/ACCESS.2017.27742648113472Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural NetworksNixuan Liu0https://orcid.org/0000-0002-5954-2985Juntao Fei1https://orcid.org/0000-0001-7954-2125College of IoT Engineering, Hohai University, Changzhou, ChinaCollege of IoT Engineering, Hohai University, Changzhou, ChinaThis paper presents an adaptive fractional sliding mode control scheme based on dual radial basis function (RBF) neural networks (NNs) to enhance the performance of a three-phase shunt active power filter (APF), where a conventional integer-order sliding surface is changed into a fractional-order one to speed up the system response and optimize the control performance. Furthermore, the control scheme adopts a class of dual RBF NNs, in which the network weights can be updated online to approximate the nonlinear system functions and the upper bound of estimated disturbances, respectively, improving the system stability and robustness. Meanwhile, the adaptive control laws obtained by Lyapunov analysis can guarantee the system a stable operation. Finally, by comparing with the integer-order control strategy, the simulation results verify that this proposed controller has a better performance in the suppression of the harmonic, elimination of system uncertainties, and the reduction of current tracking error.https://ieeexplore.ieee.org/document/8113472/Active power filtersfractional sliding mode controldual radial basis function neural networksnonlinear system functions |
| spellingShingle | Nixuan Liu Juntao Fei Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks IEEE Access Active power filters fractional sliding mode control dual radial basis function neural networks nonlinear system functions |
| title | Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks |
| title_full | Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks |
| title_fullStr | Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks |
| title_full_unstemmed | Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks |
| title_short | Adaptive Fractional Sliding Mode Control of Active Power Filter Based on Dual RBF Neural Networks |
| title_sort | adaptive fractional sliding mode control of active power filter based on dual rbf neural networks |
| topic | Active power filters fractional sliding mode control dual radial basis function neural networks nonlinear system functions |
| url | https://ieeexplore.ieee.org/document/8113472/ |
| work_keys_str_mv | AT nixuanliu adaptivefractionalslidingmodecontrolofactivepowerfilterbasedondualrbfneuralnetworks AT juntaofei adaptivefractionalslidingmodecontrolofactivepowerfilterbasedondualrbfneuralnetworks |