Fuzzy Logic Based DTC Control of Synchronous Reluctance Motor
Abstract
This paper presents the utilization of a fuzzy logic controller (FLC) within the speed control loop of the direct torque control (DTC) algorithm. The aim is to enhance the dynamic performance of a 3-phase synchronous reluctance motor (SynRM) in variable speed applications. The proposed FLC employs the speed error and change of speed error to generate the torque command signal needed for the torque hysteresis comparator within the DTC scheme. The system being analyzed comprises of a synchronous reluctance motor, voltage source converter and the proposed fuzzy logic-based DTC. In order to evaluate the performance of the proposed controller, a comprehensive system model is developed and simulated using MATLAB Simulink. The dynamic response of the entire system is investigated when subjected to various command speeds and loading conditions. It is found that the proposed controller achieves fast and precise dynamic response under all operating conditions. Furthermore, a comparative analysis is conducted between utilizing the FLC and the traditional proportional integral differential (PID) controller in the speed control loop of the DTC, the results demonstrate a significant improvement in the dynamic response when employing FLC compared to the traditional PID controller.
Keywords
References
De Almeida, A.T.; Ferreira, F.J.T.E.; Baoming, G. Beyond induction motors—Technology trends to move up efficiency. IEEE Trans. Ind. Appl. 2014, 50, 2103–2114.
Boztas, G., Aydogmus, O. & Guldemir, H. Design and implementation of a high-efficiency low-voltage synchronous reluctance motor. Electr Eng 104, 717–725 (2022).
Y. Okamoto, R. Hoshino, S. Wakao and T. Tsuburaya, "Improvement of Torque Characteristics for a Synchronous Reluctance Motor Using MMA-based Topology Optimization Method," in IEEE Transactions on Magnetics, vol. 54, no. 3, pp. 1-4, March 2018, Art no. 7203104, doi: 10.1109/TMAG.2017.2762000.
M. -Y. Wei and T. -H. Liu, "Design and Implementation of an Online Tuning Adaptive Controller for Synchronous Reluctance Motor Drives," in IEEE Transactions on Industrial Electronics, vol. 60, no. 9, pp. 3644-3657, Sept. 2013, doi: 10.1109/TIE.2012.2206341.
Asad, B.; Vaimann, T.; Belahcen, A.; Kallaste, A.; Rassõlkin, A.; Iqbal, M.N. Broken rotor bar fault detection of the grid and inverter-fed induction motor by effective attenuation of the fundamental component. IET Electr. Power Appl. 2019, 13, 2005–2014.
Wu, G.; Huang, S.; Wu, Q.; Rong, F.; Zhang, C.; Liao, W. Robust predictive torque control of N*3-phase PMSM for high-power traction application. IEEE Trans. Power Electron. 2020, 35, 10799–10809.
Du, G.; Zhang, G.; Li, H.; Hu, C. Comprehensive Comparative Study on Permanent-Magnet-Assisted Synchronous Reluctance Motors and Other Types of Motor. Appl. Sci. 2023, 13, 8557. https://doi.org/10.3390/app13148557
Costin, M.; Lazar, C. Field-Oriented Predictive Control Structure for Synchronous Reluctance Motors. Machines 2023, 11, 682. https://doi.org/10.3390/machines11070682
H. A. A. Awan, M. Hinkkanen, R. Bojoi and G. Pellegrino, Stator-Flux-Oriented Control of Synchronous Motors: A Systematic Design Procedure, IEEE Transactions on Industry Applications, vol. 55, no. 5, Sept.-Oct. 2019, pp. 4811-4820, doi: 10.1109/TIA.2019.2927316.
A. Varatharajan, G. Pellegrino and E. Armando, Direct Flux Vector Control of Synchronous Motor Drives: A Small-Signal Model for Optimal Reference Generation, IEEE Transactions on Power Electronics, vol. 36, no. 9, pp. 10526-10535, Sept. 2021, DOI: 10.1109/TPEL.2021.3067694.
Wang, F.; Zhang, Z.; Mei, X.; Rodríguez, J.; Kennel, R. Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control. Energies 2018, 11, 120. https://doi.org/10.3390/en11010120
Costin, M.; Lazar, C. Field-Oriented Predictive Control Structure for Synchronous Reluctance Motors. Machines 2023, 11, 682. https://doi.org/10.3390/machines11070682
Wang, F.; Zhang, Z.; Mei, X.; Rodríguez, J.; Kennel, R. Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control. Energies 2018, 11, 120. https://doi.org/10.3390/en11010120
M. Abdelouhab, A. Attar, A. Senhaji, R. Aboutni, J. Bouchnaif, Improved direct torque control on an induction machine with short circuit fault, Materials Today: Proceedings, Volume 72, Part 7, 2023.
sayed o. madbouly “Torque/Speed Control of 3PH Synchronous Reluctance Motor Using Direct Torque Control” International Review of Electrical Engineering (IREE), Vol. 17 no. 4, August 2022.
I. Pavlić, Š. Ileš, I. Erceg and M. Kutija, "Predictive Direct Torque Control of SynRM in Field Weakening Region," 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), Gliwice, Poland, 2021, pp. 574-580, doi: 10.1109/PEMC48073.2021.9432594.
Gudey, S.K.; Malla, M.; Jasthi, K.; Gampa, S.R. Direct Torque Control of an Induction Motor Using Fractional-Order Sliding Mode Control Technique for Quick Response and Reduced Torque Ripple. World Electr. Veh. J. 2023, 14, 137. https://doi.org/10.3390/wevj14060137
T. Sreekumar and K. S. Jiji, "Comparison of Proportional-Integral (P-I) and Integral-Proportional (I-P) controllers for speed control in vector controlled induction Motor drive," 2012 2nd International Conference on Power, Control and Embedded Systems, Allahabad, India, 2012, pp. 1-6, doi: 10.1109/ICPCES.2012.6508089.
Kakouche, K.; Oubelaid, A.; Mezani, S.; Rekioua, D.; Rekioua, T. Different Control Techniques of Permanent Magnet Synchronous Motor with Fuzzy Logic for Electric Vehicles: Analysis, Modelling, and Comparison. Energies 2023, 16, 3116. https://doi.org/10.3390/en16073116
S. O. Madbouly, H. F. Soliman, H. M. Hasanien and M. A. Badr, "Fuzzy logic control of brushless doubly fed induction generator," 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010), Brighton, UK, 2010, pp. 1-7, doi: 10.1049/cp.2010.0085.
V. T. Ha, “Torque Control of an In-Wheel Axial Flux Permanent Magnet Synchronous Motor using a Fuzzy Logic Controller for Electric Vehicles”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 2, pp. 10357–10362, Apr. 2023.
S. O. Madbouly, H. F. Soliman, H. M. Hasanien and M. A. Badr, "Fuzzy logic control of brushless doubly fed induction generator," 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010), Brighton, UK, 2010, pp. 1-7, doi: 10.1049/cp.2010.0085.
Kolluru, Ashok & Kumar, M.. (2022). Fuzzy Controller Based DTC of SRM Drive Fed by Common High Side Asymmetric Switch Converter. International journal of electrical and computer engineering systems. 13. 701-708. 10.32985/ijeces.13.8.10.
Kakouche, Khoudir, Adel Oubelaid, Smail Mezani, Djamila Rekioua, and Toufik Rekioua. 2023. "Different Control Techniques of Permanent Magnet Synchronous Motor with Fuzzy Logic for Electric Vehicles: Analysis, Modelling, and Comparison" Energies 16, no. 7: 3116. https://doi.org/10.3390/en16073116
V.K., Arun Shankar & Subramaniam, Umashankar & Paramasivam, Sathesh & Padmanaban, Sanjeevikumar & Kommanaboina, Venkatesh. (2018). Investigation of Direct Torque Control-Based Synchronous Reluctance Motor Drive for Pumping. 10.1007/978-981-10-4762-6_30.
W. Zhao, D. Chen, and T. A. Lipo, Performance improvement of ferrite-assisted synchronous reluctance machines using asymmetrical rotor configurations, IEEE Transactions on Magnetics, vol. 51, no. 11, Nov. 2015, Art. D.
H. A. A. Awan, M. Hinkkanen, R. Bojoi and G. Pellegrino, Stator-Flux-Oriented Control of Synchronous Motors: A Systematic Design Procedure, IEEE Transactions on Industry Applications, vol. 55, no. 5, Sept.-Oct. 2019, pp. 4811-4820, doi: 10.1109/TIA.2019.2927316
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