Title | ||
---|---|---|
An Accurate Wide-Speed Range Control Method of IPMSM Considering Resistive Voltage Drop and Magnetic Saturation |
Abstract | ||
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This paper deals with the high accurate current set-points solution for interior permanent-magnet synchronous motors (IPMSM) in wide-speed range applications. Considering voltage and current constraints, the operating regions can be divided into maximum torque per ampere, maximum current, field weakening, and maximum torque per voltage regions, which requires solving different nonlinear functions in real time to obtain optimal current set-points. Traditional methods including curve-fitting methods and polynomial approximation (PA) methods are not easy to obtain these solutions, especially involving magnetic saturation problems. In this paper, Newton–Raphson algorithm for improving the control accuracy of the current set-points is proposed. Meanwhile, parameters influence including magnetic saturation and resistive voltage drop is fully investigated. Compared with PA method, the proposed method is able to converge to accurate solutions in few numbers of iterations with reduced execution time, which can be easily implemented on an off-the-shelf digital signal processor. Both simulation results and experimental results on an 8-kW IPMSM rig are conducted showing good agreement with the expected results. |
Year | DOI | Venue |
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2020 | 10.1109/TIE.2019.2912766 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Torque,Saturation magnetization,Inductance,Mathematical model,Voltage control,Permanent magnet motors,Stators | Saturation (magnetic),Digital signal processing,Synchronous motor,Polynomial,Resistive touchscreen,Digital signal processor,Control theory,Voltage,Voltage drop,Engineering | Journal |
Volume | Issue | ISSN |
67 | 4 | 0278-0046 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shuo Wang | 1 | 1 | 1.05 |
Jinsong Kang | 2 | 1 | 0.71 |
Michele Degano | 3 | 11 | 6.81 |
Alessandro Galassini | 4 | 3 | 1.10 |
Chris Gerada | 5 | 148 | 39.69 |