Bui, M.X. and Xiao, D. and Rahman, M.F. (2020) Improved Sensorless Direct Torque and Flux Control of IPMSM based on On-line Parameter Estimation. In: 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, 19 October 2020 through 21 October 2020.
Improved Sensorless Direct Torque and Flux Control of IPMSM based on On-line Parameter Estimation..pdf
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Improved Sensorless Direct Torque and Flux Control of IPMSM based on On-line Parameter Estimation..pdf
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Abstract
This paper presents an improved direct torque and flux control of a sensorless control system with Interior Permanent Magnet Synchronous Motor (IPMSM). The estimation of torque and flux is enhanced by the real-time update of machine parameters including stator resistances, d- and q- axis inductance, permanent magnet flux linkage. The estimation of rotor speed and position is based on the measurement of current slopes at one zero- and two active-voltage vectors during every PWM cycle. The d- and q- axis inductances are estimated at PWM frequency based on those current derivatives and the DC bus voltage. The stator resistance and permanent magnet flux linkage which vary slowly due to temperature and aging factors are estimated based on the use of recursive least square technique. The numerical simulation and experimental study of the proposed methods show the effectiveness of the proposed parameter identification method and the improvement of estimated torque and flux of the sensorless control system. © 2020 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Divisions: | Faculties > Faculty of Control Engineering |
Identification Number: | 10.1109/IECON43393.2020.9255383 |
Uncontrolled Keywords: | Inductance; Industrial electronics; Numerical methods; Permanent magnets; Pulse width modulation; Sensorless control; Stators; Torque; Torque control; Current derivatives; D-and q-axis inductance; Direct torque and flux control; Estimation of torque; Interior permanent magnet synchronous motor; On-line parameter estimations; Parameter identification methods; Recursive least square (RLS); Parameter estimation |
Additional Information: | Conference code: 165032. Language of original document: English. |
URI: | http://eprints.lqdtu.edu.vn/id/eprint/8893 |