Abstract
This study emphasis on a direct torque control (DTC) strategy with a speed estimator utilizing the Model Reference Adaptive System (MRAS) for a doubly fed induction machine (DFIM). The suggested adaptive reference model uses the values obtained as the disparity between two voltage-to-current ratios along the d and q axes for a hypothetical resistance quantity. The resulting sensorless formulation is totally independent of any expression of stator/rotor resistance. And thereby, DTC command brings numerous benefits over traditional control strategies like field-oriented control (FOC) due to its clear architecture, quick dynamic response and less system parameter dependency. The suggested control algorithm is simulated and evaluated in MATLAB/Simulink for a small speed range program.
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References
Elmahfoud M, Bossoufi B, Taoussi M, El Ouanjli N, Derouich A (2020) Comparative study between backstepping adaptive and field oriented controls for doubly fed induction motor. Eur J Electr Eng 22(3):209–221
Taoussi M, Karim M, Bossoufi B, Hammoumi D, Lagrioui A, Derouich A (2016) Speed variable adaptive backstepping control of the doubly-fed induction machine drive. Int J Autom Control 10(1):12–33
Elmahfoud M, Bossoufi B, Taoussi M, El Ouanjli N, Derouich A (2019) Rotor field oriented control of doubly fed induction motor. In: 2019 international conference on optimization and applications, ICOA 2019
Abu-Rub H, Stando D, Kazmierkowski MP (2013) Simple speed sensorless DTC-SVM scheme for induction motor drives. Bull Polish Acad Sci: Tech Sci 61(2):301–307
El Ouanjli N, Motahhir S, Derouich A, El Ghzizal A, Chebabhi A, Taoussi M (2019) Improved DTC strategy of doubly fed induction motor using fuzzy logic controller. Energy Rep 5(February):271–279
Korzonek M, Tarchala G, Orlowska-Kowalska T (2019) A review on MRAS-type speed estimators for reliable and efficient induction motor drives. ISA Trans 93:1–13
Horch M, Boumediene A, Baghli L (2017) MRAS-based sensorless speed integral backstepping control for induction machine, using a flux backstepping observer. Int J Power Electron Drive Syst 8(4):1650–1662
El Daoudi S, Lazrak L, El Ouanjli N, Ait Lafkih M (2020) Improved DTC-SPWM strategy of induction motor by using five-level POD-PWM inverter and MRASSF estimator. Int J Dyn Control (0123456789)
Kumar R, Das S (2017) MRAS-based speed estimation of grid-connected doubly fed induction machine drive. IET Power Electron 10(7):726–737
El Ouanjli N, Derouich A, El Ghzizal A, Motahhir S, Chebabhi A, El Mourabit Y, Taoussi M (2019) Modern improvement techniques of direct torque control for induction motor drives-a review. Prot Control Mod Power Syst 4(1)
Ammar A, Bourek A, Benakcha A (2017) Nonlinear SVM-DTC for induction motor drive using input-output feedback linearization and high order sliding mode control. ISA Trans 67:428–442
Giribabu D, Srivastava SP, Pathak MK (2019) Modified reference model for rotor flux-based MRAS speed observer using neural network controller. IETE J Res 65(1):80–95
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El Mahfoud, M., Bossoufi, B., El Ouanjli, N., Mahfoud, S., Yessef, M., Taoussi, M. (2021). Speed Sensorless Direct Torque Control of Doubly Fed Induction Motor Using Model Reference Adaptive System. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_165
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DOI: https://doi.org/10.1007/978-3-030-73882-2_165
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