Position sensorless control of PMSM under low-frequency ratio

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Pubblicato in:Journal of Physics: Conference Series vol. 3000, no. 1 (Apr 2025), p. 012053
Autore principale: Zhang, Xiao
Altri autori: Liu, Jia
Pubblicazione:
IOP Publishing
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022 |a 1742-6588 
022 |a 1742-6596 
024 7 |a 10.1088/1742-6596/3000/1/012053  |2 doi 
035 |a 3194235865 
045 2 |b d20250401  |b d20250430 
100 1 |a Zhang, Xiao  |u School of Electrical Engineering, China University of Mining and Technology , Xuzhou 221116, Jiangsu, China 
245 1 |a Position sensorless control of PMSM under low-frequency ratio 
260 |b IOP Publishing  |c Apr 2025 
513 |a Journal Article 
520 3 |a In conventional approaches to sensorless PMSM control, Luenberger observer designs are commonly developed and evaluated within the continuous-time domain, with subsequent discretization typically implemented through the first-order forward Euler approximation method. However, when the ratio of the switching frequency to the motor operating frequency is relatively low, traditional observer design methods face issues where current estimation errors fail to converge rapidly or even become unstable. To address the inaccuracies of the Euler discretization method, this paper first establishes an accurate discrete-time mathematical model for single-sampling and single-update PMSM drive systems. Secondly, to simplify parameter calculations and address the computational complexity arising from the asymmetry of the inductance matrix in the mathematical model of salient-pole motors, an approximate symmetry approach is proposed. Based on an improved mathematical model, a full-order back-EMF observer is established to achieve sensorless control of PMSMs. Finally, to mitigate the impact of current mean sampling errors on the position observer, a compensation measure is proposed. Simulation experiments conducted in MATLAB/Simulink validate the proposed methods, and the results verify that the approach performs as expected. 
653 |a Position measurement 
653 |a Inductance 
653 |a Mathematical analysis 
653 |a Errors 
653 |a Position sensing 
653 |a Mathematical models 
653 |a Discretization 
653 |a Asymmetry 
653 |a Sampling 
700 1 |a Liu, Jia  |u School of Electrical Engineering, China University of Mining and Technology , Xuzhou 221116, Jiangsu, China 
773 0 |t Journal of Physics: Conference Series  |g vol. 3000, no. 1 (Apr 2025), p. 012053 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3194235865/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3194235865/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch