2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia) 2015
DOI: 10.1109/icpe.2015.7168117
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Super-twisting sliding mode observer based speed sensorless torque control for PMSG used in wind turbines

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Cited by 4 publications
(2 citation statements)
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“…In literature [15], an adaptive filter is proposed to filter out the sliding mode noise, but the causes of the system's phase delay to a certain extent. The literature [16][17][18] proposed an SMO based on the supertwisting algorithm to observe back-EMF to solve this problem. This method can effectively suppress the chattering phenomenon caused by the switching function, and a good control effect can be obtained in the medium and high-speed range.…”
Section: Introductionmentioning
confidence: 99%
“…In literature [15], an adaptive filter is proposed to filter out the sliding mode noise, but the causes of the system's phase delay to a certain extent. The literature [16][17][18] proposed an SMO based on the supertwisting algorithm to observe back-EMF to solve this problem. This method can effectively suppress the chattering phenomenon caused by the switching function, and a good control effect can be obtained in the medium and high-speed range.…”
Section: Introductionmentioning
confidence: 99%
“…Because no initial position problem and operating at flux-weakening region exist, sensorless control is a significant cost reductive solution for the control of PMSG drives. Determining the wind speed and rotor position can be accomplished with the methods which are Direct Torque Control (DTC), Model Reference Adaptive System (MRAS), and Sliding Mode Observer (SMO) depending on back-EMF prediction [8,[14][15][16][17][18]. Because these methods are often affected by parameter variation and cause loss of stability at low speeds, they have severe disadvantages in sensorless PMSG control [19][20][21].…”
Section: Introductionmentioning
confidence: 99%