Super-twisting sliding-mode observer-based model reference adaptive speed control for PMSM drives |
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| Institution: | 1. Energy Department, FEMTO-ST Institute (UMR 6174), CNRS, UTBM, Université Bourgogne Franche-Comté, Belfort, France;2. School of Information, Technology, Engineering, Mathematics and Physics, The University of the South Pacific, Laucala Campus, Suva, Fiji;1. Federal Rural University of the Semi-Arid Region, Rua Francisco Mota, 572, Pres. Costa e Silva, Mossoró, 59625-900, RN, Brazil;2. São Paulo State University, Avenida Brasil, 56, Centro, Ilha Solteira, 15385-000, SP, Brazil;3. Goiás Federal Institute of Education, Science, and Technology, Av. Presidente Juscelino Kubitschek, 775, Residencial Flamboyant, Jataí, 75804-714, GO, Brazil;1. College of Information Engineering, Henan University science and technology, Luoyang 471023, PR China;2. School of Marine Engineering, Dalian Maritime University, Dalian 116026, China |
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| Abstract: | This paper develops a super-twisting sliding-mode observer-based model reference adaptive speed controller (STSMO-MRA-SC) for the permanent-magnet synchronous motor-based variable speed drive (PMSM-VSD) system. A stable first-order linear model is selected as the reference model to describe the required speed trajectory. To make the actual speed of the PMSM-VSD system follow this trajectory, the proposed STSMO-MRA-SC comprises three terms: (1) the stabilization term dependent on known parameters of the motion dynamics and the selected reference model for stabilizing the speed tracking error dynamics asymptotically; (2) the disturbance compensation term based on the STSMO for compensating the lumped disturbance in the speed tracking error dynamics; and (3) the error compensation term updated online by the adaptive law for confronting the estimation error of the STSMO in practice. Comparative experimental tests among the classic MRA-SC, the radial basis function neural network-based MRA-SC and the proposed STSMO-MRA-SC are performed. Experimental results have verified the effectiveness and the superiority of the proposed STSMO-MRA-SC. |
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