Design and Real-Time Implementation of Robust Permanent Magnet Synchronous Motor Control System

Các tác giả

Email tác giả liên hệ:

vptu@hcmut.edu.vn

DOI:

https://doi.org/10.54644/jte.2025.1848

Từ khóa:

Interior permanent magnet synchronous motor, Maximum torque per ampere, Motor control system, Synchronous motor control, Hardware-in-the-loop

Tóm tắt

This article examines the design of an Interior Permanent Magnet Synchronous Motor (IPMSM) control system, beginning with a study of IPMSM structure and mathematical modeling, which is vital for accurate control system. Control strategies, particularly vector control, and drive method like space vector modulation, are explored and designed. The core contribution is a maximum torque per ampere-based controller for the IPMSM, designed to optimize torque and efficiency. The article validates the controller’s performance through MATLAB Simulink simulations and real time hardware in the loop (HIL) experiments using the GatherTech HIL, bridging simulation and real-world testing. Simulation results for both non-maximum torque per ampere (N-MTPA) and maximum torque per ampere (MTPA) strategies are analyzed, demonstrating the proposed controller's performance. Results show improved torque and speed response compared to N-MTPA strategies, indicating faster acceleration, robust stabilization and enhanced the efficiency. This research provides a framework for high-performance IPMSM controllers.

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Tiểu sử của Tác giả

Van Van Huynh, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Van Van Huynh received his B.Eng. and M.Eng. degrees in Electrical Engineering from Ho Chi Minh City University of Technology and Education, Vietnam, in 2005 and 2008, respectively, and received the Ph.D. degree in mechanical and automation engineering from Da-Yeh University, Changhua, Taiwan, in 2015. He is currently a Lecturer with the Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. His current research interests include sliding mode control, variable structure control, and power system control.

Email: huynhvanvan@tdtu.edu.vn. ORCID:  https://orcid.org/0000-0002-9766-9004.

Lam The Thinh Tran, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Lam The Thinh Tran was born in Ca Mau City, Vietnam. Currently, he is B.Eng. student in Electrical Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. His research topics include load frequency control, sliding mode control and optimal control.

Email: tranlamthethinh.2501@gmail.com. ORCID:  https://orcid.org/ 0009-0009-3007-539X.

Phan Tu Vu, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Vietnam

Phan Tu Vu was born in Saigon, Vietnam, in 1972. He received his B.Eng. and M.Eng. degrees in Electrical Engineering from Ho Chi Minh City University of Technology (HCMUT), Vietnam National University (VNU-HCM), Ho Chi Minh City, Vietnam, in 1995 and 1999, respectively, and his Ph.D. degree from Czech Technical University in Prague, Czech Republic, in 2006. From 1995 to 2009, he was a Lecturer at HCMUT. From 2007 to 2011, he served as the Head of the Department of Power Systems at HCMUT. From 2009 to 2010, he was a Researcher with the Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL, USA. Since 2014, he has been an Associate Professor at the Department of Power Systems, HCMUT. His research interests include numerical and optimization methods applied to electromagnetic transients, high-voltage engineering, electromagnetic compatibility (EMC), and optimal power flow problems in power systems.

Email: vptu@hcmut.edu.vn. ORCID:  https://orcid.org/0000-0002-5262-0266.

Tài liệu tham khảo

A. K. Rathore, S. Doolla, and A. Monti, “Guest Editorial: Special Issue on Machine Learning Techniques in Power Electronics,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 11, no. 6, pp. 5526–5528, Dec. 2023, doi: 10.1109/JESTPE.2023.3331811. DOI: https://doi.org/10.1109/JESTPE.2023.3331811

P. S. Mali and D. Susitra, “Design, Modeling, and Analysis of a Permanent Magnet Synchronous Motor (PMSM) for Electric Vehicles,” in Proc. IEEE Int. Students’ Conf. Electr., Electron. Comput. Sci. (SCEECS), Bhopal, India, 2024, pp. 1–7, doi: 10.1109/SCEECS61402.2024.10482354. DOI: https://doi.org/10.1109/SCEECS61402.2024.10482354

J. Zhao, X. Liu, and S. Wang, “Review of Design and Control Optimization of Axial Flux PMSM in Renewable-energy Applications,” Chin. J. Mech. Eng., vol. 36, no. 45, 2023, doi: 10.1186/s10033-023-00868-8. DOI: https://doi.org/10.1186/s10033-023-00868-8

P. Dini and S. Saponara, “Model-Based Design of an Improved Electric Drive Controller for High-Precision Applications Based on Feedback Linearization Technique,” Electronics, vol. 10, no. 23, p. 2954, 2021, doi: 10.3390/electronics10232954. DOI: https://doi.org/10.3390/electronics10232954

R. Hemmati, S. Vahid, and A. EL-Refaie, “A Novel Design for a High Specific Power Interior Permanent Magnet Machine for Aerospace Applications,” in Proc. IEEE Energy Convers. Congr. Expo. (ECCE), Detroit, MI, USA, 2020, pp. 1735–1742, doi: 10.1109/ECCE44975.2020.9235961. DOI: https://doi.org/10.1109/ECCE44975.2020.9235961

T. H. Ji, C. H. Kim, and S. W. Jung, “Design Method of IPMSM Using Multi-objective Optimization Considering Mechanical Stress for High-Speed Electric Vehicles,” J. Electr. Eng. Technol., vol. 19, pp. 2481–2489, 2024, doi: 10.1007/s42835-024-01811-0. DOI: https://doi.org/10.1007/s42835-024-01811-0

T. Wildi, Electrical Machines, Drives, and Power Systems, 6th ed. Pearson, 2013.

Z. Yang, C. Miao, and X. Sun, “Model Predictive Current Control for IPMSM Drives with Extended-State-Observer-Based Sliding Mode Speed Controller,” IEEE Trans. Energy Convers., vol. 38, no. 2, pp. 1471–1480, Jun. 2023, doi: 10.1109/TEC.2022.3227196. DOI: https://doi.org/10.1109/TEC.2022.3227196

Y. Yu, C. Liang, D. Zeng, Y. Hu, and J. Yang, “Multi-objective Optimization of IPMSM for Electric Vehicles Based on the Combinatorial Surrogate Model and the Hierarchical Design Method,” Int. J. Electr. Power Energy Syst., vol. 162, p. 110245, 2024, doi: 10.1016/j.ijepes.2024.110245. DOI: https://doi.org/10.1016/j.ijepes.2024.110245

Y. Wang, H. Li, R. Liu, L. Yang, and X. Wang, “Modulated Model-Free Predictive Control with Minimum Switching Losses for PMSM Drive System,” IEEE Access, vol. 8, pp. 20942–20953, 2020, doi: 10.1109/ACCESS.2020.2968379. DOI: https://doi.org/10.1109/ACCESS.2020.2968379

F. M. Zaihidee, S. Mekhilef, and M. Mubin, “Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review,” Energies, vol. 12, no. 9, p. 1669, 2019, doi: 10.3390/en12091669. DOI: https://doi.org/10.3390/en12091669

A. Morya, M. Moosavi, M. C. Gardner, and H. A. Toliyat, “Applications of Wide Bandgap (WBG) Devices in AC Electric Drives: A Technology Status Review,” in Proc. IEEE Int. Electr. Mach. Drives Conf. (IEMDC), Miami, FL, USA, 2017, pp. 1–8, doi: 10.1109/IEMDC.2017.8002288. DOI: https://doi.org/10.1109/IEMDC.2017.8002288

S. Rezaee, J. Amini, M. Moallem, and J. Wang, “Comparative Study of Permanent-Magnet Synchronous Motor Drives: Two-level GaN-Based and Three-level Silicon-Based Voltage Source Inverters,” in Proc. IEEE Int. Symp. Diagn. Electr. Mach., Power Electron. Drives (SDEMPED), Chania, Greece, 2023, pp. 222–227, doi: 10.1109/SDEMPED54949.2023.10271449. DOI: https://doi.org/10.1109/SDEMPED54949.2023.10271449

S. Ni, C. Li, and Z. Zheng, “Control Strategy of a Hybrid SiC-Si Traction Inverter for Direct-Drive Multiphase PMSMs in Marine Propulsion,” IEEE Trans. Power Electron., vol. 39, no. 12, pp. 16400–16414, Dec. 2024, doi: 10.1109/TPEL.2024.3434703. DOI: https://doi.org/10.1109/TPEL.2024.3434703

E. Trancho, E. Ibarra, P. Prieto, A. Arias, A. Lis, and A. P. Pai, “Novel Thermal Management Strategy for Improved Inverter Reliability in Electric Vehicles,” Appl. Sci., vol. 10, no. 22, p. 8024, 2020, doi: 10.3390/app10228024. DOI: https://doi.org/10.3390/app10228024

S. Zhang, A. Shen, X. Luo, Q. Tang, and Z. Li, “An Adaptive Strategy for PMSM-Based Disturbance Estimation and Online Parameter Identification,” IEEE/ASME Trans. Mechatronics, vol. 29, no. 4, pp. 2522–2533, Aug. 2024, doi: 10.1109/TMECH.2023.3333382. DOI: https://doi.org/10.1109/TMECH.2023.3333382

M. X. Bui, R. Dutta, and F. Rahman, “Application of Deep Learning in Parameter Estimation of Permanent Magnet Synchronous Machines,” IEEE Access, vol. 12, pp. 40710–40721, 2024, doi: 10.1109/ACCESS.2024.3377224. DOI: https://doi.org/10.1109/ACCESS.2024.3377224

Y. Dai, L. Zhang, D. Xu, Q. Chen, and J. Li, “Development of Deep Learning-Based Cooperative Fault Diagnosis Method for Multi-PMSM Drive System in 4WID-EVs,” IEEE Trans. Instrum. Meas., vol. 73, pp. 1–13, 2024, Art. no. 3506513, doi: 10.1109/TIM.2023.3342858. DOI: https://doi.org/10.1109/TIM.2023.3342858

C. Eang and S. Lee, “Predictive Maintenance and Fault Detection for Motor Drive Control Systems in Industrial Robots Using CNN-RNN-Based Observers,” Sensors, vol. 25, no. 1, p. 25, 2025, doi: 10.3390/s25010025. DOI: https://doi.org/10.3390/s25010025

Y. Zuo, C. Lai, and K. L. V. Iyer, “A Review of Sliding Mode Observer Based Sensorless Control Methods for PMSM Drive,” IEEE Trans. Power Electron., vol. 38, no. 9, pp. 11352–11367, Sept. 2023, doi: 10.1109/TPEL.2023.3287828. DOI: https://doi.org/10.1109/TPEL.2023.3287828

B. Xia et al., “An Improved High-Frequency Voltage Signal Injection-Based Sensorless Control of IPMSM Drives with Current Observer,” IEEE Trans. Transp. Electrif., vol. 10, no. 3, pp. 5155–5167, Sept. 2024, doi: 10.1109/TTE.2023.3321151. DOI: https://doi.org/10.1109/TTE.2023.3321151

K. Iwama and T. Noguchi, “High-Efficiency Drive Method of Adjustable Field IPMSM Utilizing Magnetic Saturation,” IEEE Access, vol. 10, pp. 125499–125508, 2022, doi: 10.1109/ACCESS.2022.3226335. DOI: https://doi.org/10.1109/ACCESS.2022.3226335

T. O. Kowalska et al., “Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges,” IEEE Access, vol. 10, pp. 59979–60024, 2022, doi: 10.1109/ACCESS.2022.3180153. DOI: https://doi.org/10.1109/ACCESS.2022.3180153

W. Huang et al., “Current-Based Open-Circuit Fault Diagnosis for PMSM Drives with Model Predictive Control,” IEEE Trans. Power Electron., vol. 36, no. 9, pp. 10695–10704, Sept. 2021, doi: 10.1109/TPEL.2021.3061448. DOI: https://doi.org/10.1109/TPEL.2021.3061448

G. Liao, W. Zhang, and C. Cai, “Research on a PMSM Control Strategy for Electric Vehicles,” Adv. Mech. Eng., vol. 13, no. 12, 2021, doi: 10.1177/16878140211051462. DOI: https://doi.org/10.1177/16878140211051462

M. W. Kim, J. Lee, M. Biswas, and J. W. Park, “New Acoustic Noise Reduction Method for Signal-Injection-Based IPMSM Sensorless Drive,” IEEE Trans. Power Electron., vol. 38, no. 3, pp. 3180–3190, Mar. 2023, doi: 10.1109/TPEL.2022.3226205. DOI: https://doi.org/10.1109/TPEL.2022.3226205

Y. Guo, L. Liu, X. Ba, H. Lu, G. Lei, W. Yin, and J. Zhu, “Designing High-Power-Density Electric Motors for Electric Vehicles with Advanced Magnetic Materials,” World Electr. Veh. J., vol. 14, no. 4, p. 114, 2023, doi: 10.3390/wevj14040114. DOI: https://doi.org/10.3390/wevj14040114

S. Zheng, X. Zhu, Z. Xiang, L. Xu, L. Zhang, and C. H. Lee, “Technology Trends, Challenges, and Opportunities of Reduced-Rare-Earth PM Motor for Modern Electric Vehicles,” Green Energy Intell. Transp., vol. 1, no. 1, p. 100012, 2022, doi: 10.1016/j.geits.2022.100012. DOI: https://doi.org/10.1016/j.geits.2022.100012

Y. Zuo et al., “A Novel Current Measurement Offset Error Compensation Method Based on the Adaptive Extended State Observer for IPMSM Drives,” IEEE Trans. Ind. Electron., vol. 71, no. 4, pp. 3371–3382, Apr. 2024, doi: 10.1109/TIE.2023.3277084. DOI: https://doi.org/10.1109/TIE.2023.3277084

K. Li and Y. Wang, “Maximum Torque per Ampere (MTPA) Control for IPMSM Drives Based on a Variable-Equivalent-Parameter MTPA Control Law,” IEEE Trans. Power Electron., vol. 34, no. 7, pp. 7092–7102, Jul. 2019, doi: 10.1109/TPEL.2018.2877740. DOI: https://doi.org/10.1109/TPEL.2018.2877740

N. S. Doan, A. N. Tsvetkov, and T. H. Nguyen, “Study and Implementation of Space Vector Pulse Width Modulation Inverter on an Arduino,” E3S Web Conf., vol. 288, p. 01059, 2021, doi: 10.1051/e3sconf/202128801059. DOI: https://doi.org/10.1051/e3sconf/202128801059

Tải xuống

Đã Xuất bản

2025-11-28

Cách trích dẫn

[1]
V. V. Huynh, L. T. T. Tran, và P. T. Vu, “Design and Real-Time Implementation of Robust Permanent Magnet Synchronous Motor Control System”, JTE, vol 20, số p.h 04SI, tr 96–105, tháng 11 2025.