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The rotor speed and electromagnetic power are taken as ESN inputs, and the effective wind speed is estimated through the inverse model of wind turbine dynamics. The super-twisted algorithm (STA) can effectively improve the chattering problem of the traditional sliding mode control (SMC) system. The RBF neural network is introduced to compensate for disturbance and uncertainty characteristics of the wind turbine. Results show that compared with the neural network first-order sliding mode control (NNSMC) and super-twisted sliding mode control (ST-SMC), the proposed method can improve the efficiency of wind energy utilization. <\/jats:p>","DOI":"10.1142\/s0218126623503152","type":"journal-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T04:12:05Z","timestamp":1683259925000},"source":"Crossref","is-referenced-by-count":2,"title":["Super-Twisted Sliding Mode Control for Maximum Power Point Tracking of Wind Turbine Based on Neural Network"],"prefix":"10.1142","volume":"32","author":[{"given":"Fan","family":"Qu","sequence":"first","affiliation":[{"name":"College of Electrical & Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, P. R. China"}]},{"given":"Hui","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Electrical & Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4598-6478","authenticated-orcid":false,"given":"Ruiting","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Electrical & Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, P. R. China"}]},{"given":"Ying","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Electrical & Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, P. R. China"}]},{"given":"Long","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Electrical & Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, P. R. China"}]},{"given":"Jiande","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Electrical & Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, P. R. 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