Real-time Extended Kalman and H∞ filters performance comparison for induction machine speed and torque estimation

Danilo Llano; Alberto Sánchez

doi:10.1109/ROPEC.2015.7395101

Real-time Extended Kalman and H_∞ filters performance comparison for induction machine speed and torque estimation

Ingeniería Electrónica y Automatización

Universidad San Francisco de Quito

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This paper presents a performance comparison of an Extended-Kalman and Extended H_∞ filters used to estimate flux, rotor speed and torque in a PWM inverter-fed induction machine. The comparison is performed in real-time in an induction machine testbech at different speed ranges and subject to load changes. Results indicate that the H_∞ estimator overcomes the Kalman Filter in the low speed range with no significant increase in execution time using a Fixed Point DSP, while performing almost identically in the medium and high speed range.

Idioma original	Inglés
Título de la publicación alojada	2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781467371216
DOI	https://doi.org/10.1109/ROPEC.2015.7395101
Estado	Publicada - 29 ene. 2016
Evento	17th IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015 - Ixtapa, México Duración: 4 nov. 2015 → 6 nov. 2015

Serie de la publicación

Nombre	2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015

Conferencia

Conferencia	17th IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015
País/Territorio	México
Ciudad	Ixtapa
Período	4/11/15 → 6/11/15

Acceder al documento

10.1109/ROPEC.2015.7395101

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Llano, D., & Sánchez, A. (2016). Real-time Extended Kalman and H_∞ filters performance comparison for induction machine speed and torque estimation. En 2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015 Artículo 7395101 (2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC.2015.7395101

Llano, Danilo ; Sánchez, Alberto. / Real-time Extended Kalman and H_∞ filters performance comparison for induction machine speed and torque estimation. 2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. (2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015).

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abstract = "This paper presents a performance comparison of an Extended-Kalman and Extended H∞ filters used to estimate flux, rotor speed and torque in a PWM inverter-fed induction machine. The comparison is performed in real-time in an induction machine testbech at different speed ranges and subject to load changes. Results indicate that the H∞ estimator overcomes the Kalman Filter in the low speed range with no significant increase in execution time using a Fixed Point DSP, while performing almost identically in the medium and high speed range.",

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Llano, D & Sánchez, A 2016, Real-time Extended Kalman and H_∞ filters performance comparison for induction machine speed and torque estimation. En 2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015., 7395101, 2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015, Institute of Electrical and Electronics Engineers Inc., 17th IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015, Ixtapa, México, 4/11/15. https://doi.org/10.1109/ROPEC.2015.7395101

Real-time Extended Kalman and H_∞ filters performance comparison for induction machine speed and torque estimation. / Llano, Danilo; Sánchez, Alberto.
2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7395101 (2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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N2 - This paper presents a performance comparison of an Extended-Kalman and Extended H∞ filters used to estimate flux, rotor speed and torque in a PWM inverter-fed induction machine. The comparison is performed in real-time in an induction machine testbech at different speed ranges and subject to load changes. Results indicate that the H∞ estimator overcomes the Kalman Filter in the low speed range with no significant increase in execution time using a Fixed Point DSP, while performing almost identically in the medium and high speed range.

AB - This paper presents a performance comparison of an Extended-Kalman and Extended H∞ filters used to estimate flux, rotor speed and torque in a PWM inverter-fed induction machine. The comparison is performed in real-time in an induction machine testbech at different speed ranges and subject to load changes. Results indicate that the H∞ estimator overcomes the Kalman Filter in the low speed range with no significant increase in execution time using a Fixed Point DSP, while performing almost identically in the medium and high speed range.

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Llano D, Sánchez A. Real-time Extended Kalman and H_∞ filters performance comparison for induction machine speed and torque estimation. En 2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7395101. (2015 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2015). doi: 10.1109/ROPEC.2015.7395101