MRAS Speed Estimator for a PMSM Machine: Practice Design
Received: 14 July 2024 | Revised: 30 July 2024 | Accepted: 4 August 2024 | Online: 9 October 2024
Corresponding author: Mohamed F. Elnaggar
Abstract
Wind energy systems are based on synchronous machines, which can support high-speed rotation cases due to possible high-speed values of incoming winds. The machines used are affiliated with permanent magnet machines, whereas speed detection can become difficult. This complication appears when high incoming wind speed values increase the motor temperature, which in turn can influence motor parameters, and especially the stator resistance. This can impact the proposed speed software estimator robustness. The proposed high-speed estimator algorithm is based on the Model Reference Adaptive System (MRAS) estimation method, which can be used for motor speed estimation. This concept includes the reactive power model, which ensures the robustness of the estimator when facing any possible stator resistance variation, even at very high speeds.
Keywords:
MRAS, speed, machine, estimationDownloads
References
A. Flah and L. Sbita, "A novel IMC controller based on bacterial foraging optimization algorithm applied to a high speed range PMSM drive," Applied Intelligence, vol. 38, pp. 114–129, Jul. 2013. DOI: https://doi.org/10.1007/s10489-012-0361-0
Z. Q. Guo and S. K. Panda, "Design of a sliding mode observer for sensorless control of SPMSM operating at medium and high speeds," IEEE Symposium on Sensorless Control for Electrical Drives (SLED), Jun. 2015, pp. 1–6, Sydney, Australia. DOI: https://doi.org/10.1109/SLED.2015.7339255
A. V. R. Teja, V. Verma, and C. Chakraborty, "A New Formulation of Reactive-Power-Based Model Reference Adaptive System for Sensorless Induction Motor Drive," IEEE Transactions on Industrial Electronics, vol. 62, no. 11. pp. 6797–6808, May 2015. DOI: https://doi.org/10.1109/TIE.2015.2432105
A. Flah and L. Sbita, "An adaptive high speed PMSM control for electric vehicle application," Journal of Electrical Engimeering, no. 12, pp. 165-177, 2012.
H. Ding, L. Xiao, H. Zhang, and Q. Yang, "Dynamic analysis of rotor system for magnetic levitation high-speed electrical machine," International Conference on Electric Information and Control Engineering, Apr. 2011, pp. 2129–2132, Wuhan, China. DOI: https://doi.org/10.1109/ICEICE.2011.5776945
R. Wang, Q. Gu, S. Lu, J. Tian, Z. Yin, L. Yin, and W. Zheng, "FI-NPI: Exploring Optimal Control in Parallel Platform Systems," Electronics, vol. 13, no. 7, pp. 1–15, Mar. 2024. DOI: https://doi.org/10.3390/electronics13071168
M. Novák, J. Novák, and Z. Čeřovský, "Experimental research of high-speed electrical motor supercharger dynamic properties," IEEE Workshop On Merging Fields Of Computational Intelligence And Sensor Technology, Apr. 2011, pp. 7–12, Paris, France. DOI: https://doi.org/10.1109/MFCIST.2011.5949510
A. Flah, M. Novak, and S. Lassaad, "An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application," Journal of Dynamic Systems, Measurment, and Control, vol. 140, no. 6, March 2018, Art. no. 061016. DOI: https://doi.org/10.1115/1.4039212
A. Hijazi, L. Sidhom, A. Zgorski, and X. L. Shi, "On speed estimation of permanent magnet synchronous motor using adaptive robust position observer and differentiator," IFAC Proceedings Volumes, vol. 46, no. 11, pp. 116–121, Jan. 2013. DOI: https://doi.org/10.3182/20130703-3-FR-4038.00082
J. Guzinski, H. Abu-Rub, M. Diguet, Z. Krzeminski, and A. Lewicki, "Speed and Load Torque Observer Application in High-Speed Train Electric Drive," IEEE Transactions on Industrial Electronics, vol. 57, no. 2, pp. 565–574, Aug. 2009. DOI: https://doi.org/10.1109/TIE.2009.2029582
H. Wang, W. Sun, D. Jiang, and R. Qu, "A MTPA and Flux-Weakening Curve Identification Method Based on Physics-Informed Network Without Calibration," IEEE Transactions on Power Electronics, vol. 38, no. 10, pp. 12370–12375, Jul. 2023. DOI: https://doi.org/10.1109/TPEL.2023.3295913
J. Song, A. Mingotti, J. Zhang, L. Peretto, and H. Wen, "Accurate Damping Factor and Frequency Estimation for Damped Real-Valued Sinusoidal Signals," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–4, Nov. 2022. DOI: https://doi.org/10.1109/TIM.2022.3220300
J. Song, A. Mingotti, J. Zhang, L. Peretto, and H. Wen, "Fast Iterative-Interpolated DFT Phasor Estimator Considering Out-of-Band Interference," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–14, 2022. DOI: https://doi.org/10.1109/TIM.2022.3203459
J. Zhang et al., "Fractional Order Complementary Non-singular Terminal Sliding Mode Control of PMSM Based on Neural Network," International Journal of Automotive Technology, vol. 25, no. 2, pp. 213–224, Feb. 2024. DOI: https://doi.org/10.1007/s12239-024-00015-9
B. Babes, N. Hamouda, S. Kahla, H. Amar, and S. S. M. Ghoneim, "Fuzzy model based multivariable predictive control design for rapid and efficient speed-sensorless maximum power extraction of renewable wind generators," Electrical Engineering & Electromechanics, no. 3, pp. 51–62, May 2022. DOI: https://doi.org/10.20998/2074-272X.2022.3.08
G. Boztas, M. Yildirim, and O. Aydogmus, "Design and Analysis of Multi-Phase BLDC Motors for Electric Vehicles," Engineering, Technology & Applied Science Research, vol. 8, no. 2, pp. 2646–2650, Apr. 2018. DOI: https://doi.org/10.48084/etasr.1781
A. W. Nasir, I. Kasireddy, and A. K. Singh, "Real Time Speed Control of a DC Motor Based on its Integer and Non-Integer Models Using PWM Signal," Engineering Technology and Applied Science Research, vol. 7, no. 5, pp. 1974–1979, Oct. 2017. DOI: https://doi.org/10.48084/etasr.1292
A. Y. Al-Rawashdeh, "Investigation of an Induction Wound Rotor Motor to Work as a Synchronous Generator," Engineering Technology and Applied Science Research, vol. 9, no. 2, pp. 4071–4074, Apr. 2019. DOI: https://doi.org/10.48084/etasr.2606
J. C. Gamazo-Real, E. Vázquez-Sánchez, and J. Gómez-Gil, "Position and speed control of brushless dc motors using sensorless techniques and application trends," Sensors, vol. 10, no. 7, pp. 6901–6947, July 2010. DOI: https://doi.org/10.3390/s100706901
M. Zerouali, M. Boutouba, A. El Ougli, and B. Tidhaf, "Control of variable speed wind energy conversion systems by fuzzy logic and conventional PO," International Conference on Intelligent Systems and Advanced Computing Sciences, vol. 1, no. 1, pp. 8–12, 2019, Taza, Morocco. DOI: https://doi.org/10.1109/ISACS48493.2019.9068866
Downloads
How to Cite
License
Copyright (c) 2024 Mohamed F. Elnaggar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.