A Very-Low-Speed Sensorless Control Induction Motor Drive with Online Rotor Resistance Tuning by Using MRAS Scheme

• Autorzy: Zorgani Youssef Agrebi , Jouili Mabrouk , Koubaa Yassine , Boussak Mohamed

Identyfikatory

DOI

10.2478/pead-2018-0021

• Języki publikacji: EN

Abstrakty

EN

A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive.

Słowa kluczowe

EN

induction motor; stator flux orientation model; model reference adaptive system; MRAS; rotor speed estimation; resistance estimation; programmable cascaded low-pass filters; PCLPF

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2019
• Tom: Vol. 4 (39)
• Strony: 125--140
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Zorgani Youssef Agrebi

• Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Postal Box 1173, 3038 Sfax, Tunisia
• Laboratoire des Sciences de l’Information et des Systèmes (LSIS), UMR CNRS 7296 - Ecole Centrale de Marseille (ECM), Marseille, France

autor

Jouili Mabrouk

• Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Postal Box 1173, 3038 Sfax, Tunisia

autor

Koubaa Yassine

• Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Postal Box 1173, 3038 Sfax, Tunisia

autor

Boussak Mohamed

• Laboratoire des Sciences de l’Information et des Systèmes (LSIS), UMR CNRS 7296 - Ecole Centrale de Marseille (ECM), Marseille, France

Bibliografia

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