Predictive Control Based Speed, Torque and Flux Prediction of a Double Stator Induction Motor

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KHOUIDMI HOUARI; Massoum Ahmed

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Journal Paper

Paper Information

Journal: Majlesi Journal of Electrical Engineering Year:2019 | Volume:13 | Issue:1 Page(s): 65-77

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Title

Predictive Control Based Speed, Torque and Flux Prediction of a Double Stator Induction Motor

Author(s)

KHOUIDMI HOUARI | Massoum Ahmed | Issue Writer Certificate

Keywords

Double Stator Induction Motor

Direct Field Oriented Control

Predictive Control

Abstract

The Predictive Control based speed, flux and torque prediction of a Double Stator Induction Motor is proposed in this research paper; the model of the DSIM and the direct vector control of the system have performed, subsequently, the classical PI controllers for the speed control, the flux, and thus for setting the stator’ s currents have adopted. In order to minimize the transient control and to reduce the impact of measurement noise on the control signal, instead of vector control technique which requires the flux and torque estimation, the multivariable generalized Predictive Control is used. The results have shown the effectiveness of the proposed method, especially in the parameters variation and/or the change of the reference speed.

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APA: Copy

KHOUIDMI, HOUARI, & Massoum, Ahmed. (2019). Predictive Control Based Speed, Torque and Flux Prediction of a Double Stator Induction Motor. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 13(1), 65-77. SID. https://sid.ir/paper/718238/en

Vancouver: Copy

KHOUIDMI HOUARI, Massoum Ahmed. Predictive Control Based Speed, Torque and Flux Prediction of a Double Stator Induction Motor. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;13(1):65-77. Available from: https://sid.ir/paper/718238/en

IEEE: Copy

HOUARI KHOUIDMI, and Ahmed Massoum, “Predictive Control Based Speed, Torque and Flux Prediction of a Double Stator Induction Motor,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 13, no. 1, pp. 65–77, 2019, [Online]. Available: https://sid.ir/paper/718238/en

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