Sensors 2013, 13(3), 3831-3847; doi:10.3390/s130303831
Article

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

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 2 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
* Author to whom correspondence should be addressed.
Received: 25 February 2013; in revised form: 4 March 2013 / Accepted: 11 March 2013 / Published: 19 March 2013
(This article belongs to the Section Physical Sensors)
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Abstract: A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM) 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.
Keywords: torque ripple; frequency domain; FOC; self-tuning algorithm; PMSM; DSP

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MDPI and ACS Style

Gómez-Espinosa, A.; Hernández-Guzmán, V.M.; Bandala-Sánchez, M.; Jiménez-Hernández, H.; Rivas-Araiza, E.A.; Rodríguez-Reséndiz, J.; Herrera-Ruíz, G. A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM). Sensors 2013, 13, 3831-3847.

AMA Style

Gómez-Espinosa A, Hernández-Guzmán VM, Bandala-Sánchez M, Jiménez-Hernández H, Rivas-Araiza EA, Rodríguez-Reséndiz J, Herrera-Ruíz G. A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM). Sensors. 2013; 13(3):3831-3847.

Chicago/Turabian Style

Gómez-Espinosa, Alfonso; Hernández-Guzmán, Víctor M.; Bandala-Sánchez, Manuel; Jiménez-Hernández, Hugo; Rivas-Araiza, Edgar A.; Rodríguez-Reséndiz, Juvenal; Herrera-Ruíz, Gilberto. 2013. "A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM)." Sensors 13, no. 3: 3831-3847.

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