Speed and Current Using Fuzzy Controllers of PMSM under Field-Weakening
محتوى المقالة الرئيسي
الملخص
The present study explores a field-weakening control strategy for Permanent Magnet Synchronous Motors (PMSMs) to enable high-speed operation beyond their nominal speed limits. The research introduces an innovative approach using Fuzzy Logic-based control to enhance speed and current sensitivity management. This methodology significantly improves the motor's dynamic performance, achieving rapid response and effectively counteracting load torque disturbances. A fuzzy controller is employed to regulate the rotational speed and the stator current component on the d-axis in external regulating loops, with reference values dynamically adjusted based on operating speed and conditions. Comparative simulations between the proposed Fuzzy-PI control system and the conventional PI controller reveal the superior performance of the fuzzy control strategy. Notably, when subjected to a load torque of 0.2 N·m at 0.4 seconds, the Fuzzy-PI controller minimized the effects of noise on speed regulation, as shown in the simulation results. Furthermore, under a higher load torque of 1 N·m at 1 second, the Fuzzy-PI controller demonstrated smoother transitions, reduced current vibrations, and enhanced stability in transient states. These results underline the controller's robustness, achieving faster response time, better stability, and more precise reference tracking. Such performance makes the proposed Fuzzy-PI control system a promising alternative for high-performance industrial applications requiring efficient and reliable motor operation at high speeds.
تفاصيل المقالة
القسم

هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
THIS IS AN OPEN ACCESS ARTICLE UNDER THE CC BY LICENSE http://creativecommons.org/licenses/by/4.0/
المراجع
Khanh P, Pham Huy Anh H. Advanced Deep Flux Weakening Operation Control Strategies for IPMSM. International Journal of Electrical and Computer Engineering 2021; 11(5): 3798–3807.
Mohamed EEM, Saeed MSR. T-Type Multilevel Inverter-Fed Interior PM Machine Drives Based on the Voltage Regulation Feedback and the Model Predictive Control. Electrical Engineering 2024; 106(3): 2749–2763.
Jayal P, Bhuvaneswari G. Performance Analysis and Control of Permanent Magnet Synchronous Motor Drive Over a Wide Speed Range. 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2017; 1–5.
Wei W. Design of Flux-Weakening Control System of PMSM Based on the Fuzzy Self-Tuning PID Controller. 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet) 2011; 226–229.
Gu X, Li T, Li X, Zhang G, Wang Z. An Improved UDE-Based Flux-Weakening Control Strategy for IPMSM. Energies 2019; 12(21): 4077.
Wang MS, Hsieh MF, Lin A. Operational Improvement of Interior Permanent Magnet Synchronous Motor Using Fuzzy Field-Weakening Control. Electronics 2018; 7(12): 452.
Dianov A. Comparison of Feedback Field-Weakening Techniques for Synchronous Machines with Permanent Magnets. Vehicles 2023; 5(4): 1671–1691.
Jacob J, Bottesi O, Calligaro S, Petrella R. Design Criteria for Flux-Weakening Control Bandwidth and Voltage Margin in IPMSM Drives Considering Transient Conditions. IEEE Transactions on Industry Applications 2021; 57(5): 4924–4935.
Radmanesh H, Rahmani Fard J. Fuzzy Self-Tuning PI Controller for Field-Weakening Control System of an Axial Flux Switching Permanent Magnet Motor. AUT Journal of Electrical Engineering 2021; 53(2): 233–248.
Hou P, Wang X, Sheng Y. Research on Flux-Weakening Control System of Interior Permanent Magnet Synchronous Motor Based on Fuzzy Sliding Mode Control. 2019 Chinese Control and Decision Conference (CCDC) 2019; 3151–3156.
Ghassani R, Kader Z, Fadel M, Combes P, Koteich M. Comparison Study of Rotor Field-Oriented Control and Stator Field-Oriented Control in Permanent Magnet Synchronous Motors. 2023 IEEE International Electric Machines & Drives Conference (IEMDC) 2023; 1–7.
Wang X, Li Y, Zhang Z, Wang J, Chen Y. An Adaptive Flux-Weakening Strategy Considering High-Speed Operation of Dual Three-Phase PM Machine for Electric Vehicles. IEEE Transactions on Transportation Electrification 2024; 10(1): 112–125.
Liu S, Liu C, Zhao H, Liu Y, Dong Z. Improved Flux Weakening Control Strategy for Five-Phase PMSM Considering Harmonic Voltage Vectors. IEEE Transactions on Power Electronics 2022; 37(9): 10967–10980.
Yang L, Zhang L, Wang G, Zhang X, Xu D. Field-Weakening Control Strategy of High-Speed Permanent Magnet Synchronous Motor Based on Improved Voltage Phase Angle Control. IEEE Access 2021; 9: 100742–100753.
Zhu J, Zhang Y, Liu K, Wang C. A Novel MTPA-Flux Weakening Feedforward Control Strategy of PMSM Based on On-Line Model Parameter Update. Energies 2022; 15(21): 8133.
Zhou K, Ai M, Sun D, Jin N, Wu X. Field Weakening Operation Control Strategies of PMSM Based on Feedback Linearization. Energies 2019; 12(23): 4526.
Hussain A, Mahmood SA, Humod A, Ameen N. Robustness Enhancement Study of Augmented Positive Identification Controller by a Sigmoid Function. IAES International Journal of Artificial Intelligence 2023; 12(2): 686–694.
Khaleel R, Khaleel H, Al-Hareeri A, Al-Obaidi AS, Humaidi A. Improved Trajectory Planning of Mobile Robot Based on Pelican Optimization Algorithm. Journal Européen des Systèmes Automatisés 2024; 57(4): 1005–1013.
Khaleel H, Humaidi A. Towards Accuracy Improvement in Solution of Inverse Kinematic Problem in Redundant Robot: A Comparative Analysis. International Review of Applied Sciences and Engineering 2024; 15(1): 45–54.
Peng S, Huang Z, Chen G. Deep Flux Weakening Control Strategy for IPMSM with Variable Direct Axis Current Limitations. Electrical Engineering 2022; 104(4): 2351–2360.
Sain C, Padmanaban S, Biswas P, Banerjee A. An Efficient Flux Weakening Control Strategy of a Speed Controlled Permanent Magnet Synchronous Motor Drive for Light Electric Vehicle Applications. IEEE Access 2017; 5: 19356–19368.
Lesani MJ, Mahmoudi H, Ebrahim M, Varzali S, Arab Khaburi D. Predictive Torque Control of Induction Motor Based on Improved Fuzzy Control Method. 2013 13th Iranian Conference on Fuzzy Systems (IFSC) 2013; 1–5.
Devi K, Gautam S, Nagaria D. Speed Control of 3-Phase Induction Motor Using Self-Tuning Fuzzy PID Controller and Conventional PID Controller. International Journal of Computer Applications 2014; 94(11): 1–7.
Azzawi H, Ameen N, Gitaffa S. Comparative Performance Evaluation of Swarm Intelligence-Based FOPID Controllers for PMSM Speed Control. Journal Européen des Systèmes Automatisés 2023; 56(3): 475–482.