Using Feedback Control to Control Rotor Flux and Torque of the DFIG-Based Wind Power System
Direct torque control (DТС) is a method of controlling electrical machines that are widely used, and this is due to its simplicity and ease of use. However, this method has several issues, such as torque, rotor flux, and current fluctuations. To overcome these shortcomings and improve the characteristics and robustness of the DTC strategy of the doubly-fed induction generator (DFIG), a new DTC scheme based on the feedback control method (FCM) and space vector modulation (SVM) is proposed. In the proposed DTC technique, a proportional-integral controller based on feedback control theory is used to control and regulate the torque and rotor flux of the DFIG. On the other hand, the SVM technique is used to control the rotor side converter (RSC) to obtain a high-quality current. The simulation result shows that the proposed DTC technique has the advantages of faster dynamics and reduced harmonic distortion of current compared to the conventional technique.
B. A. Jihene, A. Khedher, and M. F. Mimouni, “Speed-Sensorless DFIG Wind Drive Based on DTC Using Sliding Mode Rotor Flux Observer,” International Journal of Renewable Energy Research, vol. 2, no. 4, pp. 736-745, December 2012.
H. Dan, P. Zeng, W. Xiong, M. Wen, M. Su, and M. Rivera, “Model Predictive Control-Based Direct Torque Control for Matrix Converter-Fed Induction Motor with Reduced Torque Ripple,” CES Transactions on Electrical Machines and Systems, vol. 5, no. 2, pp. 90-99, June 2021.
F. Mehedi, A. Yahdou, A. B. Djilali, and H. Benbouhenni, “Direct Torque Fuzzy Controlled Drive for Multi-Phase IPMSM Based on SVM Technique,” Journal Européen des Systèmes Automatisés, vol. 53, no. 2, pp. 259-266, April 2020.
Y. N. Tatte, M. V. Aware, J. K. Pandit, and R. Nemade, “Performance Improvement of Three-Level Five-Phase Inverter-Fed DTC-Controlled Five-Phase Induction Motor During Low-Speed Operation,” IEEE Transactions on Industry Applications, vol. 54, no. 3, pp. 2349-2357, May-June 2018.
F. Mehedi, H. Benbouhenni, L. Nezli, and D. Boudana, “Feedforward Neural Network-DTC of Multi-Phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy,” Journal Européen des Systèmes Automatisés, vol. 54, no. 2, pp. 345-354, April 2021.
A. N. Almakki and A. A. Mazalov, “Improving the Efficiency of Direct Flux and Torque Control Technology for Doubly-Fed Induction Generator with a Robust Control Using Modified Super-Twisting Algorithms,” Vestnik Gosudarstvennogo Universiteta Morskogo I Rechnogo Flota Imeni Admirala S. O. Makarova, vol. 13, no. 4, pp. 586-603, 2021.
S. S. Refaat, H. Abu-Rub, and A. Iqbal, “ANN-Based System for Inter-Turn Stator Winding Fault Tolerant DTC for Induction Motor Drives,” 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe), article no. 7309182, September 2015.
A. N. Almakki and A. A. Mazalov, “Application of Fractional-Order Second-Order Continuous Sliding Mode Controller in Direct Flux and Torque Control System of Doubly-Fed Induction Generator Integrated to Wind Turbine: Simulation Studies,” Vestnik Gosudarstvennogo Universiteta Morskogo I Rechnogo Flota Imeni Admirala S. O. Makarova, vol. 13, no. 6, pp. 887-907, 2021.
Z. Boudjema, R. Taleb, Y. Djeriri, and A. Yahdou, “A Novel Direct Torque Control Using Second Order Continuous Sliding Mode of a Doubly Fed Induction Generator for a Wind Energy Conversion System,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 25, no. 2, pp. 965-975, 2017.
S. Z. Chen, N. C. Cheung, K. Chung Wong, and J. Wu, “Integral Sliding-Mode Direct Torque Control of Doubly-Fed Induction Generators Under Unbalanced Grid Voltage,” IEEE Transactions on Energy Conversion, vol. 25, no. 2, pp. 356-368, June 2010.
H. Benbouhenni and Z. Boudjema, “Two-Level DTC Based on ANN Controller of DFIG Using 7-Level Hysteresis Command to Reduce Flux Ripple Comparing with Traditional Command,” International Conference on Applied Smart Systems (ICASS), article no. 8652013, November 2018.
C. Lascu, A. Argeseanu, and F. Blaabjerg, “Supertwisting Sliding-Mode Direct Torque and Flux Control of Induction Machine Drives,” IEEE Transactions on Power Electronics, vol. 35, no. 5, pp. 5057-5065, May 2020.
C. Lascu, S. Jafarzadeh, M. S. Fadali, and F. Blaabjerg, “Direct Torque Control With Feedback Linearization for Induction Motor Drives,” IEEE Transactions on Power Electronics, vol. 32, no. 3, pp. 2072-2080, March 2017.
M. Zelechowski, M. P. Kazmierkowski, and F. Blaabjerg, “Controller Design for Direct Torque Controlled Space Vector Modulated (DTC-SVM) Induction Motor Drives,” Proceedings of the IEEE International Symposium on Industrial Electronics, vol. 3, pp. 951-956, June 2005.
M. Nadour, A. Essadki, and T. Nasser, “Comparative Analysis between PI & Backstepping Control Strategies of DFIG Driven by Wind Turbine,” International Journal of Renewable Energy Research, vol. 7, no. 3, pp. 1307-1316, September 2017.
S. Behera, S. K. Behera, and B. B. Pati, “Impact of DFIG in Wind Energy Conversion System for Grid Disturbances,” Proceedings of Engineering and Technology Innovation, vol. 13, pp. 10-19, September 2019.
M. A. Mossa, T. D. Do, A. S. Al-Sumaiti, N. V. Quynh, and A. A. Z. Diab, “Effective Model Predictive Voltage Control for a Sensorless Doubly Fed Induction Generator,” IEEE Canadian Journal of Electrical and Computer Engineering, vol. 44, no. 1, pp. 50-64, 2021.
E. Tremblay, S. Atayde, and A. Chandra, “Comparative Study of Control Strategies for the Doubly Fed Induction Generator in Wind Energy Conversion Systems: A DSP-Based Implementation Approach,” IEEE Transactions on Sustainable Energy, vol. 2, no. 3, pp. 288-299, July 2011.
S. Mondal and D. Kastha, “Improved Direct Torque and Reactive Power Control of A Matrix-Converter-Fed Grid-Connected Doubly Fed Induction Generator,” IEEE Transactions on Industrial Electronics, vol. 62, no. 12, pp. 7590-7598, December 2015.
W. Ayrir, M. Ourahou, B. E. Hassouni, and A. Haddi, “Direct Torque Control Improvement of a Variable Speed DFIG Based on a Fuzzy Inference System,” Mathematics and Computers in Simulation, vol. 167, pp. 308-324, January 2020.
A. Bakouri, H. Mahmoudi, A. Abbou, and M. Moutchou, “Optimizing the Wind Power Capture by Using DTC Technique Based on Artificial Neural Network for a DFIG Variable Speed Wind Turbine,” 10th International Conference on Intelligent Systems: Theories and Applications (SITA), article no. 7358425, October 2015.
Y. Wang, H. Zhong, H. Liu, and B. Peng, “Dynamic Analysis of Grid-Connected DFIG with Fractional-Order PI Control,” 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1690-1693, June 2019.
S. Mondal and D. Kastha, “Input Reactive Power Controller With a Novel Active Damping Strategy for a Matrix Converter Fed Direct Torque Controlled DFIG for Wind Power Generation,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 8, no. 4, pp. 3700-3711, December 2020.
H. Benbouhenni, “A Novel Switching Tables of Twelve Sectors DTC for Induction Machine Drive Using Artificial Neural Networks,” Automation, Control and Intelligent Systems, vol. 7, no. 1, pp. 1-8, February 2019.
K. Ouezgan, B. Bossoufi, and M. N. Bargach, “DTC Control of DFIG-Generators for Wind Turbines: FPGA Implementation Based,” International Renewable and Sustainable Energy Conference (IRSEC), article no. 8477300, December 2017.
Y. Li, L. Hang, G. Li, Y. Guo, Y. Zou, J. Chen, et al., “An Improved DTC Controller for DFIG-Based Wind Generation System,” IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), pp. 1423-1426, May 2016.
H. Benbouhenni, N. Bizon, I. Colak, P. Thounthong, and N. Takorabet, “Application of Fractional-Order PI Controllers and Neuro-Fuzzy PWM Technique to Multi-Rotor Wind Turbine Systems,” Electronics, vol. 11, no. 9, article no. 1340, May 2022.
H. Benbouhenni and N. Bizon, “A Synergetic Sliding Mode Controller Applied to Direct Field-Oriented Control of Induction Generator-Based Variable Speed Dual-Rotor Wind Turbines,” Energies, vol. 14, no. 15, article no. 4437, August 2021.
A. J. Almakki and A. A. Mazalov, “Improved DFIG DFTC by Using a Fractional-Order Super Twisting Algorithms in Wind Power Application,” Modern Transportation Systems and Technologies, vol. 7, no. 3, pp. 131-149, 2021.
Copyright (c) 2023 Ali Nadhim Jbarah Almakki
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Submission of a manuscript implies: that the work described has not been published before that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication. Authors can retain copyright in their articles with no restrictions. Also, author can post the final, peer-reviewed manuscript version (postprint) to any repository or website.
Since Jan. 01, 2019, IJETI will publish new articles with Creative Commons Attribution Non-Commercial License, under Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0) License.
The Creative Commons Attribution Non-Commercial (CC-BY-NC) License permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.