Abstract
This research presents an investigation of different speed controller structures; the main objective is to improve the dynamic operation of vector-controlled synchronous reluctance motor (SynRM). Three controller strategies are designed and their operation is discussed in detail. The self-tuning PI-based anti-windup action (AW), the fuzzy logic (FL), and the classical PI controllers are proposed. The obtained results show the good performance and limitations of these three controllers. In fact, the self-tuning anti-windup controller is superior in terms of rapidity; its response time is very quick. The fuzzy logic controller is characterized by a high resistance against load torque perturbation and external uncertainties. While the classical PI controller presents less performance compared to the proposed controllers. Besides, the PI strategy is very sensitive to load torque, and its response time is the slowest. All simulations have been realized in MATLAB/Simulink environment.
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References
Wang, S., et al.: Design and performance analysis of a novel synchronous reluctance machine. Int. J. Appl. Electromagn. Mech 63(2), 249–265 (2020)
Zahraoui, Y., Akherraz, M., Fahassa, C., Elbadaoui, S.: Robust control of sensorless sliding mode controlled induction motor drive facing a large scale rotor resistance variation. In: Proceedings of the 4th International Conference on Smart City Applications. SCA 2019, New York, NY, USA. Association for Computing Machinery, pp. 1–6 (2019)
Heidari, H., et al.: A review of synchronous reluctance motor-drive advancements. Sustainability 13(2), 729 (2021)
Zhang, Z.: Advanced non-permanent-magnet reluctance machines for traction applications: a review. In: 2021 IEEE 12th Energy Conversion Congress Exposition - Asia (ECCE-Asia), pp. 2052–2058 (2021)
Dinh, B.M., Tan, D.T., Vuong, D.Q.: Electromagnetic design of synchronous reluctances motors for electric traction vehicle. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds.) ICERA 2020. LNNS, vol. 178, pp. 373–378. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64719-3_42
Tawfiq, K.B., Ibrahim, M.N., El-Kholy, E.E., Sergeant, P.: Performance improvement of synchronous reluctance machines-a review research. IEEE Trans. Magn. 57(10), 1–11 (2021)
Oualah, O., Kerdoun, D., Boumassata, A.: Comparative study between sliding mode control and the vector control of a brushless doubly fed reluctance generator based on wind energy conversion systems. SSRN Scholarly Paper 4039782, Social Science Research Network, Rochester, NY (2022)
Zhetpissov, Y., Kaibaldiyev, A., Do, T.D.: PI anti-windup speed control of permanent magnet synchronous motor based on feedforward compensation. In: 2018 ELEKTRO, pp. 1–8 (2018)
Hamida, M., Tir, Z., Oued, E., Malik, O., Marignetti, F., Frosinone, C.: Sensorless control of switched reluctance machine based on nonlinear observer and fuzzy logic controller. In: 4th International Conference on Recent Advances in Electrical Systems, Tunisia (2019)
Ferrari, S., Pellegrino, G.: FEA-augmented design equations for synchronous reluctance machines. In: 2018 IEEE Energy Conversion Congress and Exposition (ECCE), pp. 5395–5402 (2018)
Boztas, G., Aydogmus, O., Guldemir, H.: Design and implementation of a high-efficiency low-voltage synchronous reluctance motor. Electr. Eng. 104(2), 717–725 (2021)
Lenin, N.C., Sanjeevikumar, P., Iqbal, A., Mbohwa, C.: Linear synchronous reluctance motor—a comprehensive review. In: Konkani, A., Bera, R., Paul, S. (eds.) Advances in Systems, Control and Automation. LNEE, vol. 442, pp. 45–70. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-4762-6_5
Zahraoui, Y., Akherraz, M., Fahassa, C., Elbadaoui, S.: Induction motor harmonic reduction using space vector modulation algorithm. Bull. Electr. Eng. Inf. 9(2), 452–465 (2020)
Babetto, C., Bacco, G., Bianchi, N.: Synchronous reluctance machine optimization for high-speed applications. IEEE Trans. Energy Convers. 33(3), 1266–1273 (2018)
Zahraoui, Y., Fahassa, C., Akherraz, M., Bennassar, A.: Sensorless vector control of induction motor using an EKF and SVPWM algorithm. In: 2016 5th International Conference on Multimedia Computing and Systems (ICMCS), pp. 588–593 (2016)
Rajendran, A., Karthik, B.: Design and analysis of fuzzy and PI controllers for switched reluctance motor drive. Mater. Today Proc. 37, 1608–1612 (2021)
Zahraoui, Y., Bennassar, A., Akherraz, M., Essalmi, A.: Indirect vector control of induction motor using an extended kalman observer and fuzzy logic controllers. In: 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), pp. 1–6 (2015)
Laoufi, C., Abbou, A., Akherraz, M.: Comparative study between several strategies speed controllers in an indirect field-oriented control of an induction machine. In: 2014 International Renewable and Sustainable Energy Conference (IRSEC), pp. 866–872 (2014)
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Zahraoui, Y., Moutchou, M., Tayane, S., Elbadaoui, S. (2022). Investigation of Different Speed Controllers to Improve the Performance of Vector-Controlled Synchronous Reluctance Motor. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_11
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