Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer
In a wind turbine (WT), the maximum power can be achieved using a suitable and smooth signal, which should be applied to the pitch angle of the blades (PABLE). On the contrary, the uncertainties of the WT models cause the fatigue due to the mechanical stresses. To overcome these two problems, dynami...
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| Format: | Article |
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SAGE Publications Ltd
2022
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| _version_ | 1796867701064335360 |
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| author | Karami Mollaee, Ali Shojaei, Ali Asghar Othman, Mohd. Fauzi |
| author_facet | Karami Mollaee, Ali Shojaei, Ali Asghar Othman, Mohd. Fauzi |
| author_sort | Karami Mollaee, Ali |
| collection | ePrints |
| description | In a wind turbine (WT), the maximum power can be achieved using a suitable and smooth signal, which should be applied to the pitch angle of the blades (PABLE). On the contrary, the uncertainties of the WT models cause the fatigue due to the mechanical stresses. To overcome these two problems, dynamic sliding mode control (D-SMC) is used because it is robust against uncertainties and can suppress the chattering by providing smooth signals. In D-SMC, an integrator is located before the actuator, as a low-pass filter, to suppress the high-frequency chattering. Then, the states number of the overall augmented system is one more than the states number of the actual system. To control such an augmented system, the added state variable needs to be estimated and hence, a novel sliding mode observer (SMO) is proposed. A trusty comparison is also presented using the conventional sliding mode control (C-SMC) with the proposed SMO. To implement D-SMC and C-SMC, a new state feedback is applied to the turbine at first. Therefore, a linear model with uncertainty is obtained, where its input is the PABLE. Lyapunov theory is used to proof the stability of the proposed SMO, D-SMC, and also the C-SMC. The presented comparison demonstrates the advantages of the D-SMC with respect to the C-SMC in removing the chattering and simplicity in concept and in implementation. |
| first_indexed | 2024-03-05T21:31:14Z |
| format | Article |
| id | utm.eprints-104659 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:31:14Z |
| publishDate | 2022 |
| publisher | SAGE Publications Ltd |
| record_format | dspace |
| spelling | utm.eprints-1046592024-02-21T08:54:18Z http://eprints.utm.my/104659/ Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer Karami Mollaee, Ali Shojaei, Ali Asghar Othman, Mohd. Fauzi TK Electrical engineering. Electronics Nuclear engineering In a wind turbine (WT), the maximum power can be achieved using a suitable and smooth signal, which should be applied to the pitch angle of the blades (PABLE). On the contrary, the uncertainties of the WT models cause the fatigue due to the mechanical stresses. To overcome these two problems, dynamic sliding mode control (D-SMC) is used because it is robust against uncertainties and can suppress the chattering by providing smooth signals. In D-SMC, an integrator is located before the actuator, as a low-pass filter, to suppress the high-frequency chattering. Then, the states number of the overall augmented system is one more than the states number of the actual system. To control such an augmented system, the added state variable needs to be estimated and hence, a novel sliding mode observer (SMO) is proposed. A trusty comparison is also presented using the conventional sliding mode control (C-SMC) with the proposed SMO. To implement D-SMC and C-SMC, a new state feedback is applied to the turbine at first. Therefore, a linear model with uncertainty is obtained, where its input is the PABLE. Lyapunov theory is used to proof the stability of the proposed SMO, D-SMC, and also the C-SMC. The presented comparison demonstrates the advantages of the D-SMC with respect to the C-SMC in removing the chattering and simplicity in concept and in implementation. SAGE Publications Ltd 2022-11 Article PeerReviewed Karami Mollaee, Ali and Shojaei, Ali Asghar and Othman, Mohd. Fauzi (2022) Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer. Transactions of the Institute of Measurement and Control, 44 (15). pp. 3028-3038. ISSN 0142-3312 http://dx.doi.org/10.1177/01423312221099304 DOI:10.1177/01423312221099304 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Karami Mollaee, Ali Shojaei, Ali Asghar Othman, Mohd. Fauzi Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| title | Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| title_full | Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| title_fullStr | Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| title_full_unstemmed | Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| title_short | Dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| title_sort | dynamic sliding mode control of pitch blade wind turbine using sliding mode observer |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT karamimollaeeali dynamicslidingmodecontrolofpitchbladewindturbineusingslidingmodeobserver AT shojaeialiasghar dynamicslidingmodecontrolofpitchbladewindturbineusingslidingmodeobserver AT othmanmohdfauzi dynamicslidingmodecontrolofpitchbladewindturbineusingslidingmodeobserver |