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Experimental Investigation of Improved DC-Offset Compensation Loop for Flux Estimator in IPMSM Position and Speed Sensorless Control Drives.

Authors :
Rahman, Sadiq Ur
Chaoying, Xia
Abubakar, Usman
Shah, Sayyed Haleem
Source :
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Dec2024, Vol. 49 Issue 12, p16183-16206, 24p
Publication Year :
2024

Abstract

The flux observer method is widely utilized as a sensorless control technique in which the stator or rotor flux of IPMSM can be measured with a closed-loop observer or an integrator. However, DC-offset (DCoff), the ramp signal, and harmonics are consistently present in the acquired rotor flux because of an unidentified starting value, errors in the integral computation's current detection, and the inverter's nonlinearity. The aforementioned interference signals will drastically reduce the sensorless control efficacy. This work introduces an enhanced flux estimator with a negative feedback loop and PI controller to overcome the DC drift problem resulting from a pure integrator and a low-pass filter. Moreover, an optimal design approach of flux estimator structures with a broad range of speeds for Interior permanent magnet synchronous motor (IPMSM) drives is proposed, which utilizes an integrated topology of the voltage and current models incorporating a DC-offset PI-correction loop, actual and estimated flux magnitude's correction error. The flux vector's initial inaccuracy is eliminated, together with the DCoff and drift in the acquisition channel. A phase-locked-loop state estimator is utilized to derive the speed and position from the actual and estimated flux. The effectiveness and superiority of the suggested approach were proven by simulation and experimental findings for the IPMSM drives, which displayed high dynamic performances over varying scenarios. This reliable approach, including sensorless control, is suitable for all AC motors with sinusoidal flux distributions over a wide speed range. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2193567X
Volume :
49
Issue :
12
Database :
Complementary Index
Journal :
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )
Publication Type :
Academic Journal
Accession number :
180108568
Full Text :
https://doi.org/10.1007/s13369-024-08873-2