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Fractional Order Adaptive Fixed-Time Sliding Mode Controller for Synchronization of Fractional Order Chaotic Permanent Magnet Synchronous Motors

Year 2024, Volume: 12 Issue: 4, 376 - 386, 07.01.2025
https://doi.org/10.17694/bajece.1573420

Abstract

This paper presents a fractional-order adaptive fixed-time sliding mode controller for the synchronization of chaotic dynamics in permanent magnet synchronous motors (PMSMs). PMSMs, commonly used in electric vehicles, robotics, and aerospace, are prone to chaotic behavior under parameter variations and external disturbances, which can degrade performance and stability. Existing control strategies, such as conventional sliding mode control (SMC) and fractional-order controllers, have limitations, including chattering, slow convergence, and sensitivity to uncertainties. The proposed controller integrates fractional calculus into the sliding mode framework to improve control performance by accounting for the memory effects of PMSM dynamics. The controller ensures fixed-time convergence, guaranteeing that the system reaches the desired state within a fixed-time, regardless of initial conditions. Additionally, an adaptive mechanism adjusts the control parameters online, providing robustness against disturbances and parameter uncertainties. Simulation results demonstrate the superior performance of the proposed controller compared to existing methods, showing faster convergence, improved stability, and reduced chattering. The proposed controller proves effective in both synchronization and control scenarios, making it a promising solution for chaotic suppression in PMSMs across various operating conditions.

References

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  • [2] D.-K. Hong, W. Hwang, J.-Y. Lee, and B.-C. Woo, “Design, analysis, and experimental validation of a permanent magnet synchronous motor for articulated robot applications,” IEEE Transactions on Magnetics, vol. 54, no. 3, pp. 1–4, 2017.
  • [3] Z. Zhang, Q. Sun, and Q. Zhang, “A computationally efficient model predictive control method for dual three-phase pmsm of electric vehicle with fixed switching frequency,” IEEE Transactions on Industry Applications, vol. 60, no. 1, pp. 1105–1116, 2023.
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  • [21] H. Su, R. Luo, J. Fu, and M. Huang, “Fixed time control and synchronization of a class of uncertain chaotic systems with disturbances via passive control method,” Mathematics and Computers in Simulation, vol. 198, pp. 474–493, 2022.
  • [22] M. J. Mirzaei, E. Aslmostafa, M. Asadollahi, and N. Padar, “Fast fixed-time sliding mode control for synchronization of chaotic systems with unmodeled dynamics and disturbance; applied to memristor-based oscillator,” Journal of Vibration and Control, vol. 29, no. 9-10, pp. 2129– 2143, 2023.
  • [23] F. W. Alsaade, Q. Yao, S. Bekiros, M. S. Al-zahrani, A. S. Alzahrani, and H. Jahanshahi, “Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller,” Chaos, Solitons & Fractals, vol. 165, p. 112883, 2022.
  • [24] R.-R. Ma, Z. Huang, and H. Xu, “Fixed-time chaotic stabilization and synchronization of memristor chaotic circuits in noisy environments,” Journal of the Korean Physical Society, vol. 84, no. 2, pp. 90–101, 2024.
  • [25] Z. Li, J. B. Park, Y. H. Joo, B. Zhang, and G. Chen, “Bifurcations and chaos in a permanent-magnet synchronous motor,” IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 49, no. 3, pp. 383–387, 2002.
  • [26] D. Xue, “Fotf toolbox for fractional-order control systems,” Applications in control, vol. 6, pp. 237–266, 2019.
  • [27] K. Shao and X. Huang, “Finite-time synchronization of fractional-order pmsm with unknown parameters,” in 2021 33rd Chinese Control
Year 2024, Volume: 12 Issue: 4, 376 - 386, 07.01.2025
https://doi.org/10.17694/bajece.1573420

Abstract

References

  • [1] S. Lu and X. Wang, “Observer-based command filtered adaptive neural network tracking control for fractional-order chaotic pmsm,” IEEE Access, vol. 7, pp. 88 777–88 788, 2019.
  • [2] D.-K. Hong, W. Hwang, J.-Y. Lee, and B.-C. Woo, “Design, analysis, and experimental validation of a permanent magnet synchronous motor for articulated robot applications,” IEEE Transactions on Magnetics, vol. 54, no. 3, pp. 1–4, 2017.
  • [3] Z. Zhang, Q. Sun, and Q. Zhang, “A computationally efficient model predictive control method for dual three-phase pmsm of electric vehicle with fixed switching frequency,” IEEE Transactions on Industry Applications, vol. 60, no. 1, pp. 1105–1116, 2023.
  • [4] J. Xu, B. Zhang, X. Kuang, H. Guo, and S. Guo, “Influence analysis of slot parameters and high torque density optimisation for dual redundant permanent magnet motor in aerospace application,” IET Electric Power Applications, vol. 14, no. 7, pp. 1263–1273, 2020.
  • [5] Z. Maheshwari, K. Kengne, and O. Bhat, “A comprehensive review on wind turbine emulators,” Renewable and Sustainable Energy Reviews, vol. 180, p. 113297, 2023.
  • [6] W. Xue, Y. Li, S. Cang, H. Jia, and Z. Wang, “Chaotic behavior and circuit implementation of a fractional-order permanent magnet synchronous motor model,” Journal of the franklin institute, vol. 352, no. 7, pp. 2887–2898, 2015.
  • [7] M. Zribi, A. Oteafy, and N. Smaoui, “Controlling chaos in the permanent magnet synchronous motor,” Chaos, Solitons & Fractals, vol. 41, no. 3, pp. 1266–1276, 2009.
  • [8] Y. Yu, X. Guo, and Z. Mi, “Adaptive robust backstepping control of permanent magnet synchronous motor chaotic system with fully unknown parameters and external disturbances,” Mathematical Problems in Engineering, vol. 2016, no. 1, p. 3690240, 2016.
  • [9] J. Hu, Y. Qiu, and H. Lu, “Adaptive robust nonlinear feedback control of chaos in pmsm system with modeling uncertainty,” Applied Mathematical Modelling, vol. 40, no. 19-20, pp. 8265–8275, 2016.
  • [10] Y. Song, Y. Tuo, and J. Li, “A neural adaptive prescribed performance controller for the chaotic pmsm stochastic system,” Nonlinear Dynamics, vol. 111, no. 16, pp. 15 055–15 073, 2023.
  • [11] F. N. Deniz and M. G¨unay, “Coefficient diagram method based decentralized controller for fractional order tito systems,” Balkan Journal of Electrical and Computer Engineering, vol. 10, no. 2, pp. 198–208, 2022.
  • [12] ˙I. E. Sac¸u, “Fractional integration based feature extractor for emg signals,” Balkan Journal of Electrical and Computer Engineering, vol. 10, no. 2, pp. 132–138, 2022.
  • [13] C.-L. Li, S.-M. Yu, and X.-S. Luo, “Fractional-order permanent magnet synchronous motor and its adaptive chaotic control,” Chinese Physics B, vol. 21, no. 10, p. 100506, 2012.
  • [14] L. Liu, D. Liang, C. Liu, and Q. Zhang, “Nonlinear state observer design for projective synchronization of fractional-order permanent magnet synchronous motor,” International Journal of Modern Physics B, vol. 26, no. 30, p. 1250166, 2012.
  • [15] Y.-Y. Hou, A.-P. Lin, B.-W. Huang, C.-Y. Chen, M.-H. Lin, and H. Saberi-Nik, “On the dynamical behaviors in fractional-order complex pmsm system and hamilton energy control,” Nonlinear Dynamics, vol. 112, no. 3, pp. 1861–1881, 2024.
  • [16] S. Lu, X. Wang, and L. Wang, “Finite-time adaptive neural network control for fractional-order chaotic pmsm via command filtered backstepping,” Advances in Difference Equations, vol. 2020, no. 1, p. 121, 2020.
  • [17] Z. Zhan, X. Zhao, and R. Yang, “Recurrent neural networks with finite-time terminal sliding mode control for the fractional-order chaotic system with gaussian noise,” Indian Journal of Physics, vol. 98, no. 1, pp. 291–300, 2024.
  • [18] A. Polyakov, “Nonlinear feedback design for fixed-time stabilization of linear control systems,” IEEE transactions on Automatic Control, vol. 57, no. 8, pp. 2106–2110, 2011.
  • [19] M. Shirkavand, M. Pourgholi, and A. Yazdizadeh, “Robust global fixedtime synchronization of different dimensions fractional-order chaotic systems,” Chaos, Solitons & Fractals, vol. 154, p. 111616, 2022.
  • [20] Y. Ai and H. Wang, “Fixed-time anti-synchronization of unified chaotic systems via adaptive backstepping approach,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 2, pp. 626–630, 2022.
  • [21] H. Su, R. Luo, J. Fu, and M. Huang, “Fixed time control and synchronization of a class of uncertain chaotic systems with disturbances via passive control method,” Mathematics and Computers in Simulation, vol. 198, pp. 474–493, 2022.
  • [22] M. J. Mirzaei, E. Aslmostafa, M. Asadollahi, and N. Padar, “Fast fixed-time sliding mode control for synchronization of chaotic systems with unmodeled dynamics and disturbance; applied to memristor-based oscillator,” Journal of Vibration and Control, vol. 29, no. 9-10, pp. 2129– 2143, 2023.
  • [23] F. W. Alsaade, Q. Yao, S. Bekiros, M. S. Al-zahrani, A. S. Alzahrani, and H. Jahanshahi, “Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller,” Chaos, Solitons & Fractals, vol. 165, p. 112883, 2022.
  • [24] R.-R. Ma, Z. Huang, and H. Xu, “Fixed-time chaotic stabilization and synchronization of memristor chaotic circuits in noisy environments,” Journal of the Korean Physical Society, vol. 84, no. 2, pp. 90–101, 2024.
  • [25] Z. Li, J. B. Park, Y. H. Joo, B. Zhang, and G. Chen, “Bifurcations and chaos in a permanent-magnet synchronous motor,” IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 49, no. 3, pp. 383–387, 2002.
  • [26] D. Xue, “Fotf toolbox for fractional-order control systems,” Applications in control, vol. 6, pp. 237–266, 2019.
  • [27] K. Shao and X. Huang, “Finite-time synchronization of fractional-order pmsm with unknown parameters,” in 2021 33rd Chinese Control
There are 27 citations in total.

Details

Primary Language English
Subjects Electrical Engineering (Other)
Journal Section Araştırma Articlessi
Authors

Özhan Bingöl 0000-0002-3000-7903

Early Pub Date January 13, 2025
Publication Date January 7, 2025
Submission Date October 25, 2024
Acceptance Date December 26, 2024
Published in Issue Year 2024 Volume: 12 Issue: 4

Cite

APA Bingöl, Ö. (2025). Fractional Order Adaptive Fixed-Time Sliding Mode Controller for Synchronization of Fractional Order Chaotic Permanent Magnet Synchronous Motors. Balkan Journal of Electrical and Computer Engineering, 12(4), 376-386. https://doi.org/10.17694/bajece.1573420

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