OBSERVADOR HÍBRIDO DE MODOS DESLIZANTES PARA EL CONTROL SENSORLESS DE UN MOTOR SÍNCRONO DE IMANES PERMANENTES (HYBRID SLIDING MODE OBSERVER FOR SENSORLESS CONTROL OF A PERMANENT-MAGNET SYNCHRONOUS MOTOR)

Daniel Memije Garduño, Oscar Carranza Castillo, Jaime José Rodríguez Rivas, Rubén Ortega González

Resumen


En este artículo se propone un observador híbrido, el cual está constituido por un observador de Luenberger y un observador de modos deslizantes, ambos funcionando en paralelo para combinar las ventajas de ambas técnicas de observación. Debido a su naturaleza no lineal, este observador es usado para estimar la fuerza electromotriz de un motor síncrono de imanes permanentes, la cual contiene la información de la posición y velocidad. Esta fuerza electromotriz estimada es procesada digitalmente por un algoritmo PLL para estimar la posición y la velocidad del motor. Estas estimaciones son realimentadas en un esquema de control vectorial, con lo cual se elimina la necesidad del sensor mecánico de posición/velocidad (control sensorless). Simulaciones en MATLAB/Simulink son llevadas a cabo, donde se demuestra el correcto funcionamiento del observador propuesto. Finalmente, los resultados obtenidos son analizados y discutidos.

In this paper, a hybrid observer is proposed, which is constituted by a Luenberger observer and a sliding mode observer, both working in parallel, so to obtain the advantages of both observation techniques. Due to its nonlinear nature, this observer is used to estimate the back-electromotive force of a permanent magnet synchronous motor, which contains the rotor position and speed information. This estimated back-electromotive force is digitally processed by a PLL algorithm to estimate the motor position and speed. These estimates are feedback into a vector control scheme, where the need for the mechanical position/speed sensor (sensorless control) is eliminated. Simulations in MATLAB/Simulink are carried out, where the performance of the proposed observer is demonstrated. Finally, the results obtained are analyzed and discussed.


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Referencias


Carranza O., et. al, Comparative study of speed estimators with highly noisy measurement signals for Wind Energy Generation Systems, Applied Energy, Volume 88, Issue 3, March 2011, Pages 805-813.

Glumineau A. y de Leon J., Sensorless AC Electric Motor Control, Robust Advanced Design Techniques and Applications, Springer International Publishing Switzerland 2015.

Holt z., Sensorless control of induction motor drives, Proceedings of the IEEE, Volume: 90, Issue: 8, Aug 2002, pp. 1359 – 1394.

Liang D. et. al, Sensorless Control of Permanent Magnet Synchronous Machine Based on Second-Order Sliding-Mode Observer With Online Resistance Estimation, IEEE Transactions on Industry Applications, Volume: 53, Issue: 4, July-Aug. 2017, pp. 3672 – 3682.

Liu J. et. al, Implementation and performance of position sensorless PMSM control in industrial drives, Industry Applications Society Annual Meeting, 2014 IEEE, Vancouver, BC, Canada.

Mohan N., Advanced Electric Drives: Analysis, Control, and Modeling Using MATLAB / Simulink, John Wiley & Sons Inc; Edición: 1, Septiembre de 2014.

Rivera J., et. al, Digital Sliding-Mode Sensorless Control for Surface-Mounted PMSM, IEEE Transactions on Industrial Informatics, Volume: 10, Issue: 1, Feb. 2014, pp. 137 – 151.

Shih-Chin Y. et. al, Design issues for permanent magnet machine sensorless drive combining saliency-based and back-EMF-based control in the entire speed range, 2016 IEEE International Conference on Industrial Technology (ICIT), 2016, IEEE.

Shtessel Y.. et al, Sliding Mode Control and Observation, 2015 IEEE, John Wiley, New Jersey., Cap 11 pp. 324-345.

Tüysüz A. et. al, Novel signal injection methods for high speed self-sensing electrical drives, Energy Conversion Congress and Exposition (ECCE), 2012 IEEE, pp. 1273-1279.

Vasilios C. y Nikolaos I., Speed estimation technique for PMSM with initial rotor position uncertainty, Control Conference (ECC), 2009 IEEE, pp. 4356-4361.

Yaramasu V., et. al, PMSG-based wind energy conversion systems: survey on power converters and controls, IET Electric Power Applications, Volume: 11, Issue: 6 y 7, 2017. pp. 956-968.


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