Multilevel neural network DTC with balancing strategy of sensorless DSSM using extended Kalman filter

• Autorzy: Elakhdar Benyoussef , Said Barkat , Sadouni Radhwane
• Języki publikacji: EN

Abstrakty

EN

This paper presents direct torque control based on artificial neural networks of a double star synchronous machine without mechanical speed and stator ux linkage sensors. The estimation is performed using the extended Kalman filter, which is known for its ability to process noisy discrete measurements. The proposed approach consists of replacing the switching tables with one artificial neural network controller. The output vector of the artificial neural network controller is directed to a multilevel switching table to decide which reference vector should be applied to control the two five-level diode-clamped inverters. This inverter topology has the inherent problem of DC-link capacitor voltage variations. Multilevel direct torque control based on a neural network with balancing strategy is proposed to suppress the unbalance of DC-link capacitor voltages. The simulation results presented in this paper highlight the improvements offered by the proposed control method based on the extended Kalman filter under various operating conditions.

Słowa kluczowe

EN

double star synchronous machine; multilevel inverter; direct torque control; artificial neural networks control; extended Kalman filter

PL

maszyna synchroniczna; falownik wielopoziomowy; bezpośrednie sterowanie momentem obrotowym; sterowanie sztucznymi sieciami neuronowymi; rozszerzony filtr Kalmana

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2021
• Tom: Vol. 101, nr 2
• Strony: 96--104
• Opis fizyczny: Bibliogr. 13 poz., rys., tab., wykr.

Twórcy

autor

Elakhdar Benyoussef

• Faculty of Science Applied, Department of Electrical Engineering, University of Kasdi Merbah, Ouargla

autor

Said Barkat

• Faculty of Technology, Department of Electrical Engineering, University of M'sila

autor

Sadouni Radhwane

• Material, Energy Systems Technology and Environment Laboratory, University of Ghardaia, Algeria

Bibliografia

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• [4] Huaitian Zhang, Harith R. Wickramasinghe, Long Jing, Jinke Li, Josep Pou, and Georgios Konstantinou. Circulating current control scheme of modular multilevel converters supplying passive networks under unbalanced load conditions. Electric Power Systems Research, 171:36-46, jun 2019.
• [5] Dongdong Cui and Qiongxuan Ge. A Novel Hybrid Voltage Balance Method for Five-Level Diode-Clamped Converters. IEEE Transactions on Industrial Electronics, 65(8):6020-6031, aug 2018.
• [6] Shunji Shi, Xiangzhou Wang, Shuhua Zheng, Yanxi Zhang, and Dongyuan Lu. A New Diode-Clamped Multilevel Inverter With Balance Voltages of DC Capacitors. IEEE Transactions on Energy Conversion, 33(4):2220{2228, dec 2018.
• [7] Han Jiang, Zhongli Xi, Anas A. Rahman, and Xiaoqing Zhang. Prediction of output power with artificial neural network using extended datasets for Stirling engines. Applied Energy, 271:115123, aug 2020.
• [8] Tarek Ameid, Arezki Menacer, Hicham Talhaoui, and Imadeddine Harzelli. Rotor resistance estimation using Extended Kalman filter and spectral analysis for rotor bar fault diagnosis of sensorless vector control induction motor. Measurement, 111:243-259, dec 2017.
• [9] A. Naserbegi, M. Aghaie, and S.M. Mahmoudi. PWR core pattern optimization using grey wolf algorithm based on arti_cial neural network. Progress in Nuclear Energy, 129:103505, nov 2020.
• [10] A. Ghamri, R. Boumaaraf, M.T. Benchouia, H. Mesloub, A. Goléa, and N. Goléa. Comparative study of ANN DTC and conventional DTC controlled PMSM motor. Mathematics and Computers in Simulation, 167:219-230, jan 2020.
• [11] Hang Seng Che, Ayman Samy Abdel-Khalik, Obrad Dordevic, and Emil Levi. Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests. IEEE Transactions on Industrial Electronics, 64(8):6075-6085, aug 2017.
• [12] Mehmet Ali Usta, Halil Ibrahim Okumus, and Hakan Kahveci. A simplified three-level SVM-DTC induction motor drive with speed and stator resistance estimation based on extended Kalman filter. Electrical Engineering, 99(2):707-720, oct 2016.
• [13] Radhwane SADOUNI. Three Level DTC-SVM for Dual Star Induction Motor Fed by Tow Cascade VSI with DPCVF-SVM Rectifier. Journal of Power Technologies, 100(2), 2020.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).