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Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation

Received: 1 November 2022    Accepted: 1 February 2023    Published: 9 February 2023
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Abstract

The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison with other motors, as well as extensive use in the industries including robotics, military, medical, and so on. These motors are a suitable replacement for popular motors, such as induction and reluctance, due to their good characteristics. Permanent magnet motors are subject to considerable disturbance during sudden load removal; irrespective of the type of controller implemented, the gradual load variation in the system in comparison with sudden changes, introduces less disturbance to the system. In this research, a thorough investigation of the performance of a permanent magnet synchronous motor (PMSM) under different load conditions is presented. In order to improve the motor's behavior using two types of self-adjusting FPID and NFPID controllers and PID controllers, performance quality is compared with each other in different load conditions. The simulation results show that the unpleasant behavior created during the sudden change of the FPID controller has been improved.

Published in International Journal of Systems Engineering (Volume 6, Issue 2)
DOI 10.11648/j.ijse.20220602.11
Page(s) 46-58
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Permanent Magnet Motors, PID Controller, Fuzzy Controller, Self-tuning

References
[1] Deng, Hui, et al. "A sensorless vector strategy for the PMSM using improved sliding mode observe and fuzzy PI speed controller". Power Electronics Systems and Applications (PESA), International Conference on. IEEE, 2015.
[2] N. Arish and V. Teymoori, “Development of Linear Vernier Hybrid Permanent Magnet Machine for Wave Energy Converter,” Int. J. Eng., 2020.
[3] N. Arish, V. Teymoori, H. Yaghobi, and M. Moradi, “Design of New Linear Vernier Machine with Skew and Halbach Permanent Magnet for Wave Energy Converters,” in 34th International Power System Conference, PSC 2019, 2019.
[4] N. Arish, M. Ardestani, and V. Teymoori, “Comparison of Dual Stator Consequent-pole Linear Permanent Magnet Vernier Machine with Toroidal and Concentrated Winding,” in 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020, 2020.
[5] N C. C. Chan, K. T. Chau, J. Z. Jiang, W. Xia, M. Zhu and R. Zhang, "Novel permanent magnet motor drives for electric vehicles," in IEEE Transactions on Industrial Electronics, vol. 43, no. 2, pp. 331-339, April 1996, doi: 10.1109/41.491357.
[6] Yang, Mahinda. Rahman, M. “Implementation of an Artificial-Neural-Network-Based Real Time Adaptive Controller for an Interior Permanent-Magnet Motor Drive,” IEEE Transactions on Energy Conversion, vol. 2, pp. 96-104, 2003.
[7] Rahideh A, Karimi M, Shakeri A, Azadi M. "High Performance Direct Torque Control of a PMSM using Fuzzy Logicand Genetic Algorithm", IEEE Int. Conference Electric Machines Drives Syst., pp. 932-937, 2007.
[8] Cao X, Fan L. "Vector Controlled Permanent Magnet Synchronous Motor Drive Based on Neural Network and Multi Fuzzy Controllers", IEEE Fifth International Conference on Fuzzy Systems and Knowledge Discovery, pp. 254-258, 2008.
[9] Rahimi, A., Bavafa, F., Aghababaei, S., Khooban, M. H., & Naghavi, S. V. "The online parameter identification of chaotic behavior in permanent magnet synchronous motor by Self-Adaptive Learning Bat-inspired algorithm". International Journal of Electrical Power & Energy Systems, 78, 285-291, 2008.
[10] Wang J, Liu H. "Novel Intelligent Sensorless Control of Permanent Magnet Synchronous Motor Driv", IEEE Ninth Int Conference Electronic Measure. Instruments, pp. 953-958.
[11] Pillay, P., Krishnan, R., 1989. Modelling, "simulation and analysis of permanent magnet motor drives", part-I: the Brushless Dc motor drives. IEEE Trans. Ind. Appl. 25 (March/April), 274-279, 2009.
[12] Dorf, C., Richard, C., Robert Bishop, H. "Modern control systems", 9th ed. Prentice Hall Inc., New Jersey-07458, USA, Chapters 1, 5, pp. 1-23, pp. 173-206, 2001.
[13] V. Teymoori, N. Eskandaria, N. Arish and A. Khalili, "Design of permanent magnetic motor speed controller drive with power supply inverter based on a new switching method," 2019 International Power System Conference (PSC), pp. 453-458, 2019.
[14] Yen, Chih-Ta & Cheng, Ming-Feng. (2018). A study of fuzzy control with ant colony algorithm used in mobile robot for shortest path planning and obstacle avoidance. Microsystem Technologies. 24. 10.1007/s00542-016-3192-9.
[15] Yongjuan, Zhao, Yutitan, Pan. "The Design and Simulation of Fuzzy PID Controller", International Forum on Information Technology and Applications, Kunming, China, pp. 95-98, 16-18 July, 2010.
[16] M. C. Harke, G. D. Donato, F. G. Capponi, T. R. Tesch, and R. D. Lorenz, "Implementation issues and performance evaluation of sinusoidal, surface-mounted pm machine drives with Hall-effect positionsensors and a vector-tracking observer". IEEE Trans. Ind. Appl., vol. 26, no. 3, pp. 161-173, Jan./Feb, 2008.
[17] Diab, A. M., et al., Enhanced Active Disturbance Rejection Current Controller for Permanent Magnet Synchronous Machines Operated at Low Sampling Time Ratio. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2021.
[18] Samadi Gharajeh, M. and Jond, H., An intelligent approach for autonomous mobile robots path planning based on adaptive neuro-fuzzy inference system. Ain Shams Engineering Journal, 2021.
[19] Rajurkar, S. D., & Verma, N. K. Developing deep fuzzy network with Takagi Sugeno fuzzy inference system. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017.
Cite This Article
  • APA Style

    Vahid Teymoori, Nima Arish, Mehdi Moradi, Pedram Ghalebani. (2023). Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation. International Journal of Systems Engineering, 6(2), 46-58. https://doi.org/10.11648/j.ijse.20220602.11

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    ACS Style

    Vahid Teymoori; Nima Arish; Mehdi Moradi; Pedram Ghalebani. Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation. Int. J. Syst. Eng. 2023, 6(2), 46-58. doi: 10.11648/j.ijse.20220602.11

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    AMA Style

    Vahid Teymoori, Nima Arish, Mehdi Moradi, Pedram Ghalebani. Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation. Int J Syst Eng. 2023;6(2):46-58. doi: 10.11648/j.ijse.20220602.11

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  • @article{10.11648/j.ijse.20220602.11,
      author = {Vahid Teymoori and Nima Arish and Mehdi Moradi and Pedram Ghalebani},
      title = {Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation},
      journal = {International Journal of Systems Engineering},
      volume = {6},
      number = {2},
      pages = {46-58},
      doi = {10.11648/j.ijse.20220602.11},
      url = {https://doi.org/10.11648/j.ijse.20220602.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijse.20220602.11},
      abstract = {The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison with other motors, as well as extensive use in the industries including robotics, military, medical, and so on. These motors are a suitable replacement for popular motors, such as induction and reluctance, due to their good characteristics. Permanent magnet motors are subject to considerable disturbance during sudden load removal; irrespective of the type of controller implemented, the gradual load variation in the system in comparison with sudden changes, introduces less disturbance to the system. In this research, a thorough investigation of the performance of a permanent magnet synchronous motor (PMSM) under different load conditions is presented. In order to improve the motor's behavior using two types of self-adjusting FPID and NFPID controllers and PID controllers, performance quality is compared with each other in different load conditions. The simulation results show that the unpleasant behavior created during the sudden change of the FPID controller has been improved.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation
    AU  - Vahid Teymoori
    AU  - Nima Arish
    AU  - Mehdi Moradi
    AU  - Pedram Ghalebani
    Y1  - 2023/02/09
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ijse.20220602.11
    DO  - 10.11648/j.ijse.20220602.11
    T2  - International Journal of Systems Engineering
    JF  - International Journal of Systems Engineering
    JO  - International Journal of Systems Engineering
    SP  - 46
    EP  - 58
    PB  - Science Publishing Group
    SN  - 2640-4230
    UR  - https://doi.org/10.11648/j.ijse.20220602.11
    AB  - The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison with other motors, as well as extensive use in the industries including robotics, military, medical, and so on. These motors are a suitable replacement for popular motors, such as induction and reluctance, due to their good characteristics. Permanent magnet motors are subject to considerable disturbance during sudden load removal; irrespective of the type of controller implemented, the gradual load variation in the system in comparison with sudden changes, introduces less disturbance to the system. In this research, a thorough investigation of the performance of a permanent magnet synchronous motor (PMSM) under different load conditions is presented. In order to improve the motor's behavior using two types of self-adjusting FPID and NFPID controllers and PID controllers, performance quality is compared with each other in different load conditions. The simulation results show that the unpleasant behavior created during the sudden change of the FPID controller has been improved.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Electrical and Electronics Faculty, Stellenbosch University, Stellenbosch, South Africa

  • Electrical and Electronics Faculty, Stellenbosch University, Stellenbosch, South Africa

  • Electrical and Electronics Faculty, Cape Town University, Cape Town, South Africa

  • Electrical and Electronics Faculty, Semnan University, Semnan, Iran

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