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It can guarantee that the motor\u2019s desired position can be tracked in a finite time. Firstly, for the d-axis voltage, a first-order finite-time controller is designed based on the vector control principle. Then, for the q-axis voltage, based on a radial basis function (RBF) neural network, an integral high-order terminal sliding mode controller is designed. Theoretical analysis shows that under the proposed controller, the desired position can be tracked by the motor position in a finite time. Simulation results are given to show that the proposed control method has a strong anti-disturbance ability and a fast convergence performance. <\/jats:p>","DOI":"10.1177\/0142331219893799","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T07:26:13Z","timestamp":1578554773000},"page":"1632-1640","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":30,"title":["Position control for permanent magnet synchronous motor based on neural network and terminal sliding mode control"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7368-7323","authenticated-orcid":false,"given":"Wenwu","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Automation, Southeast University, Nanjing, PR China"},{"name":"Key Laboratory of Measurement and Control of of Complex Systems of Engineering, Ministry of Education, 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