A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM)

Sensors

Alfonso Gómez-Espinosa¹  Vໜtor M. Hernández-Guzmán²  Manuel Bandala-Sánchez¹  Hugo Jiménez-Hernández¹  Edgar A. Rivas-Araiza²  Juvenal Rodríguez-Reséndiz² 

[1] Centro de Ingeniería y Desarrollo Industrial, Dirección de Investigación y Posgrado. Av. Playa Pie de la Cuesta No. 702, Desarrollo San Pablo, C.P. 76130 Santiago de Querétaro, Qro., Mexico; E-Mails:;Universidad Autónoma de Querétaro, División de Estudios de Posgrado, Facultad de Ingeniería, Cerro de las Campanas s/n, C.P. 76010, Santiago de Querétaro, Qro., Mexico; E-Mails:

关键词: torque ripple;    frequency domain;    FOC;    self-tuning algorithm;    PMSM;    DSP;   

DOI  :  10.3390/s130303831

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.