Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A new adaptive self-tuning Fourier Coefficients algorithm for periodic torque ripple minimization in permanent magnet synchronous motors (PMSM)
AU - Gómez-Espinosa, Alfonso
AU - Hernández-Guzmán, Víctor M.
AU - Bandala-Sánchez, Manuel
AU - Jiménez-Hernández, Hugo
AU - Rivas-Araiza, Edgar A.
AU - Rodríguez-Reséndiz, Juvenal
AU - Herrera-Ruíz, Gilberto
PY - 2013/3/19
Y1 - 2013/3/19
N2 - Torque ripple occurs in Permanent Magnet Synchronous Motors (PMSMs) due to the non-sinusoidal flux density distribution around the air-gap and variable magnetic reluctance of the air-gap due to the stator slots distribution. These torque ripples change periodically with rotor position and are apparent as speed variations, which degrade the PMSM drive performance, particularly at low speeds, because of low inertial filtering. In this paper, a new self-tuning algorithm is developed for determining the Fourier Series Controller coefficients with the aim of reducing the torque ripple in a PMSM, thus allowing for a smoother operation. This algorithm adjusts the controller parameters based on the component's harmonic distortion in time domain of the compensation signal. Experimental evaluation is performed on a DSP-controlled PMSM evaluation platform. Test results obtained validate the effectiveness of the proposed self-tuning algorithm, with the Fourier series expansion scheme, in reducing the torque ripple.
AB - Torque ripple occurs in Permanent Magnet Synchronous Motors (PMSMs) due to the non-sinusoidal flux density distribution around the air-gap and variable magnetic reluctance of the air-gap due to the stator slots distribution. These torque ripples change periodically with rotor position and are apparent as speed variations, which degrade the PMSM drive performance, particularly at low speeds, because of low inertial filtering. In this paper, a new self-tuning algorithm is developed for determining the Fourier Series Controller coefficients with the aim of reducing the torque ripple in a PMSM, thus allowing for a smoother operation. This algorithm adjusts the controller parameters based on the component's harmonic distortion in time domain of the compensation signal. Experimental evaluation is performed on a DSP-controlled PMSM evaluation platform. Test results obtained validate the effectiveness of the proposed self-tuning algorithm, with the Fourier series expansion scheme, in reducing the torque ripple.
KW - DSP
KW - FOC
KW - Frequency domain
KW - PMSM
KW - Self-tuning algorithm
KW - Torque ripple
U2 - 10.3390/s130303831
DO - 10.3390/s130303831
M3 - Journal article
C2 - 23519345
AN - SCOPUS:84875540749
VL - 13
SP - 3831
EP - 3847
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
SN - 1424-8220
IS - 3
ER -