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Issue title: Spintronics: Fundamental and Applications
Guest editors: Mario Carpentieri
Article type: Research Article
Authors: Ding, Hongchanga; | Li, Jinhonga | Wei, Linchaoa | Zou, Xinhonga
Affiliations: [a] College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China
Correspondence: [*] Corresponding author: Hongchang Ding, College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China. Tel.: +86 17852728669; E-mail: [email protected]
Abstract: To improve the speed and position detection accuracy of surface-mount permanent magnet synchronous motor (SPMSM) vector control and reduce unnecessary chattering of the system, this paper proposes a sensorless control strategy of SPMSM based on an adaptive sliding mode observer (ASMO) with optimized phase-locked loop (OPLL) structure. First, in order to overcome the chattering of system caused by discontinuous switching characteristic of signum function in conventional sliding mode observer (CSMO), a continuous saturation function is selected as the switching function. The ASMO adopts the system state-related adaptive gain function to adjust the switching gain value of the system in real time, which overcomes the slow response speed or severe chattering of the system caused by the constant switching gain of CSMO. Second, to reduce the phase delay between the rotor position estimation value and the actual value caused by the adoption of low-pass filter (LPF) and the position estimation error caused by arctangent function method, an OPLL method is designed for accurate estimation of rotor position and speed. Finally, the effectiveness and feasibility of the proposed improved SMO algorithm is verified by simulation and experiments on an SPMSM with rated power of 2 kW.
Keywords: Surface-mount permanent magnet synchronous motor (SPMSM), adaptive sliding mode observer (ASMO), sensorless control, adaptive gain function, optimized phase-locked loop (OPLL)
DOI: 10.3233/JAE-220258
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 73, no. 1, pp. 35-55, 2023
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