A combined feedforward-feedback controller design for nonlinear systems
This study presents a control framework that integrates both feedforward (FF) and feedback (FB) procedures to control nonlinear systems. The intelligent control component consisted of a modified recurrent wavelet neural network used to build the FF controller. Furthermore, the H-infinity control, re...
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| Format: | Article |
| Language: | English |
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De Gruyter
2024-11-01
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| Series: | Open Engineering |
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| Online Access: | https://doi.org/10.1515/eng-2024-0091 |
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| _version_ | 1850159283233095680 |
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| author | Abdulkareem Jenan J. Ali Hazem I. Lutfy Omar Farouq |
| author_facet | Abdulkareem Jenan J. Ali Hazem I. Lutfy Omar Farouq |
| author_sort | Abdulkareem Jenan J. |
| collection | DOAJ |
| description | This study presents a control framework that integrates both feedforward (FF) and feedback (FB) procedures to control nonlinear systems. The intelligent control component consisted of a modified recurrent wavelet neural network used to build the FF controller. Furthermore, the H-infinity control, renowned for its robust and durable attributes, was employed in the FB loop. The parameters of the controller were improved using particle swarm optimization. The proposed controller’s efficacy was compared with that of another FF-FB controller, in which the FF controller was a multilayer perceptron, and the FB controller was an H-infinity controller. The effectiveness of the proposed framework to control the nonlinear mass–spring dynamics was evaluated by analyzing its control accuracy and its capacity to tolerate external disturbances. |
| format | Article |
| id | doaj-art-95c55a2d4e9b4cd581c8f12b3c82ca36 |
| institution | OA Journals |
| issn | 2391-5439 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Engineering |
| spelling | doaj-art-95c55a2d4e9b4cd581c8f12b3c82ca362025-08-20T02:23:35ZengDe GruyterOpen Engineering2391-54392024-11-011419384610.1515/eng-2024-0091A combined feedforward-feedback controller design for nonlinear systemsAbdulkareem Jenan J.0Ali Hazem I.1Lutfy Omar Farouq2Control and Systems Engineering Department, University of Technology, Baghdad, IraqControl and Systems Engineering Department, University of Technology, Baghdad, IraqControl and Systems Engineering Department, University of Technology, Baghdad, IraqThis study presents a control framework that integrates both feedforward (FF) and feedback (FB) procedures to control nonlinear systems. The intelligent control component consisted of a modified recurrent wavelet neural network used to build the FF controller. Furthermore, the H-infinity control, renowned for its robust and durable attributes, was employed in the FB loop. The parameters of the controller were improved using particle swarm optimization. The proposed controller’s efficacy was compared with that of another FF-FB controller, in which the FF controller was a multilayer perceptron, and the FB controller was an H-infinity controller. The effectiveness of the proposed framework to control the nonlinear mass–spring dynamics was evaluated by analyzing its control accuracy and its capacity to tolerate external disturbances.https://doi.org/10.1515/eng-2024-0091psorobust controllerintelligent controllerwavelet neural networkh-infinity |
| spellingShingle | Abdulkareem Jenan J. Ali Hazem I. Lutfy Omar Farouq A combined feedforward-feedback controller design for nonlinear systems Open Engineering pso robust controller intelligent controller wavelet neural network h-infinity |
| title | A combined feedforward-feedback controller design for nonlinear systems |
| title_full | A combined feedforward-feedback controller design for nonlinear systems |
| title_fullStr | A combined feedforward-feedback controller design for nonlinear systems |
| title_full_unstemmed | A combined feedforward-feedback controller design for nonlinear systems |
| title_short | A combined feedforward-feedback controller design for nonlinear systems |
| title_sort | combined feedforward feedback controller design for nonlinear systems |
| topic | pso robust controller intelligent controller wavelet neural network h-infinity |
| url | https://doi.org/10.1515/eng-2024-0091 |
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