A flux and speed observer for induction motors with unknown rotor resistance and load torque and no persistent excitation requirement

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A flux and speed observer for induction motors with unknown rotor resistance and load torque and no persistent excitation requirement. / Pyrkin, Anton; Bobtsov, Alexey; Vedyakov, Alexey; Ortega, Romeo; Vediakova, Anastasiia; Sinetova, Madina.

In: International Journal of Adaptive Control and Signal Processing, Vol. 35, No. 8, 08.2021, p. 1578-1593.

Research output: Contribution to journal › Article › peer-review

Author

Pyrkin, Anton ; Bobtsov, Alexey ; Vedyakov, Alexey ; Ortega, Romeo ; Vediakova, Anastasiia ; Sinetova, Madina. / A flux and speed observer for induction motors with unknown rotor resistance and load torque and no persistent excitation requirement. In: International Journal of Adaptive Control and Signal Processing. 2021 ; Vol. 35, No. 8. pp. 1578-1593.

BibTeX

@article{ad4305c63640452aa902e4d76608d458,

title = "A flux and speed observer for induction motors with unknown rotor resistance and load torque and no persistent excitation requirement",

abstract = "In this article, we address the problems of flux and speed observer design for voltage-fed induction motors with unknown rotor resistance and load torque. The only measured signals are stator current and control voltage. Invoking the recently reported Dynamic Regressor Extension and Mixing-Based Adaptive Observer (DREMBAO), we provide the first global solution to this problem. The proposed DREMBAO achieves asymptotic convergence under an excitation condition that is strictly weaker than persistent excitation. If the latter condition is assumed the convergence is exponential.",

keywords = "adaptive observers, DREM, induction motors, parameter estimation, TRACKING CONTROL",

author = "Anton Pyrkin and Alexey Bobtsov and Alexey Vedyakov and Romeo Ortega and Anastasiia Vediakova and Madina Sinetova",

note = "Publisher Copyright: {\textcopyright} 2021 John Wiley & Sons Ltd.",

year = "2021",

month = aug,

doi = "10.1002/acs.3258",

language = "English",

volume = "35",

pages = "1578--1593",

journal = "International Journal of Adaptive Control and Signal Processing",

issn = "0890-6327",

publisher = "Wiley-Blackwell",

number = "8",

}

RIS

TY - JOUR

T1 - A flux and speed observer for induction motors with unknown rotor resistance and load torque and no persistent excitation requirement

AU - Pyrkin, Anton

AU - Bobtsov, Alexey

AU - Vedyakov, Alexey

AU - Ortega, Romeo

AU - Vediakova, Anastasiia

AU - Sinetova, Madina

PY - 2021/8

Y1 - 2021/8

N2 - In this article, we address the problems of flux and speed observer design for voltage-fed induction motors with unknown rotor resistance and load torque. The only measured signals are stator current and control voltage. Invoking the recently reported Dynamic Regressor Extension and Mixing-Based Adaptive Observer (DREMBAO), we provide the first global solution to this problem. The proposed DREMBAO achieves asymptotic convergence under an excitation condition that is strictly weaker than persistent excitation. If the latter condition is assumed the convergence is exponential.

AB - In this article, we address the problems of flux and speed observer design for voltage-fed induction motors with unknown rotor resistance and load torque. The only measured signals are stator current and control voltage. Invoking the recently reported Dynamic Regressor Extension and Mixing-Based Adaptive Observer (DREMBAO), we provide the first global solution to this problem. The proposed DREMBAO achieves asymptotic convergence under an excitation condition that is strictly weaker than persistent excitation. If the latter condition is assumed the convergence is exponential.

KW - adaptive observers

KW - DREM

KW - induction motors

KW - parameter estimation

KW - TRACKING CONTROL

UR - http://www.scopus.com/inward/record.url?scp=85105126180&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/8d3812b8-c0c5-3a38-954b-e7f06846a826/

U2 - 10.1002/acs.3258

DO - 10.1002/acs.3258

M3 - Article

AN - SCOPUS:85105126180

VL - 35

SP - 1578

EP - 1593

JO - International Journal of Adaptive Control and Signal Processing

JF - International Journal of Adaptive Control and Signal Processing

SN - 0890-6327

IS - 8

ER -

ID: 88150489