Higher Order Predefined-time Sliding Mode Control for PMSM With Uncertain Disturbance
DOI:
https://doi.org/10.54097/hc4pc722Keywords:
Permanent Magnet Synchronous Motors (PMSM), Predefined-Time Sliding Mode Control, Field-oriented ControlAbstract
Permanent magnet synchronous motors (PMSM) offer several inherent advantages, such as higher power density, greater efficiency and reliability, more precise and rapid torque control, higher power factor, and longer bearing and insulation lifespans. As a result, they have been widely used in adjustable-speed traction motor drives. However, during operation, these motors are often subject to external load disturbances and parameter variations, which severely affect the robustness of the control system. To address this, an adaptive predefined-time disturbance observer (APTDO) is designed to track the disturbances in real-time and feed them back into the controller for disturbance compensation. Furthermore, to improve the control performance, a higher order predefined-time sliding mode controller (HO-PTSMC) is designed for the PMSM control system. Compared to traditional super-twisting sliding mode control (STSMC) methods, the field-oriented sliding mode control approach proposed in this paper significantly improves dynamic torque and speed responses and enhances the system's robustness under uncertain disturbances. The new sliding mode algorithm, being a fully continuous smooth function, effectively suppresses the chattering phenomenon inherent in traditional sliding mode algorithms, thereby significantly improving the steady-state performance of the system. Finally, simulations are conducted on the MATLAB Simulink platform, which validate the superiority of the proposed algorithm.
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[1] C. Candelo-Zuluaga, J.-R. Riba, A. G. Espinosa, and P. T. Blanch, “Customized PMSM design and optimization methodology for water pumping applications,” IEEE Trans. Energy Convers., vol. 37, no. 1, pp. 454–465, Mar. 2022.
[2] J. W. Jung, V. Q. Leu, T. D. Do, E.-K. Kim, and H. H. Choi, “Adaptive PID speed control design for permanent magnet synchronous motor drives,” IEEE Trans. Power Electron., vol. 30, no. 2, pp. 900–908, Feb. 2015.
[3] T. Tarczewski and L. M. Grzesiak, “Constrained state feedback speed control of PMSM based on model predictive approach,” IEEE Trans. Ind. Electron., vol. 63, no. 6, pp. 3867–3875, Jun. 2016.
[4] S. Li and H. Gu, “Fuzzy adaptive internal model control schemes for PMSM speed-regulation system,” IEEE Trans. Ind. Informat., vol. 8, no. 4, pp. 767–779, Nov. 2012.
[5] H. Du, G. Wen, Y. Cheng, and J. Lü, “Design and implementation of bounded finite-time control algorithm for speed regulation of permanent magnet synchronous motor,” IEEE Trans. Ind. Electron., vol. 68, no. 3, pp. 2417–2426, Mar. 2021.
[6] J. Xia, Z. Li, D. Yu, Y. Guo, and X. Zhang, “Robust speed and current control with parametric adaptation for surface-mounted PMSM considering system perturbations,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 9, no. 3, pp. 2807–2817, Jun. 2021.
[7] A. Wang, X. Jia, and S. Dong, “A new exponential reaching law of sliding mode control to improve performance of permanent magnet synchronous motor,” IEEE Trans. Magn., vol. 49, no. 5, pp. 2409–2412, May 2013.
[8] Wang, X., Reitz, M., Yaz, E.E., 2018. Field oriented sliding mode control of surface-mounted permanent magnet ac motors: Theory and applications to electrified vehicles. IEEE Transactions on Vehicular Technology, 67, 10343–10356
[9] Polyakov, A., 2011. Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE transactions on Automatic Control 57, 2106–2110.
[10] Xu, B., Zhang, L., Ji, W., 2021. Improved non-singular fast terminal sliding mode control with disturbance observer for pmsm drives. IEEE Transactions on Transportation Electrification 7, 2753–2762.
[11] Anguiano-Gij´on, C.A., Mu˜noz-V´azquez, A.J., S´anchez-Torres, J.D., Romero-Galv´an, G., Mart´ınez-Reyes, F.,2019. On predefined-time synchronisation of chaotic systems. Chaos, Solitons & Fractals 122, 172–178.
[12] Assali, E.A., 2021. Predefined-time synchronization of chaotic systems with different dimensions and applications. Chaos, Solitons & Fractals 147, 110988.
[13] hang, M., Zang, H., Bai, L., 2022b. A new predefined-time sliding mode control scheme for synchronizing chaotic systems. Chaos, Solitons & Fractals 164, 112745.
[14] Mei, H., Wen, X., Ma, X., Tan, Y., Wang, J., 2024. Adaptive practical predefined-time leader-follower consensus for second-order multiagent systems with uncertain disturbances. Journal of the Franklin Institute 361, 106694.
[15] Xiao B, Yin S. A new disturbance attenuation control scheme for quadrotor unmanned aerial vehicles. IEEE Trans Ind Inf 2017;13(6):2922–32.
[16] Kang HS, Hyun CH, Kim S. Robust tracking control using fuzzy disturbance observer for wheeled mobile robots with skidding and slipping. Int J Adv Robot Syst 2014;11(5):75.
[17] Han J. The extended state observer of a class of uncertain systems. Chin Control Decis 1995;10(1):85–8.
[18] Chen M, Wu Q, Cui R. Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems. ISA Trans 2013;52(2):198–206.
[19] Zhang, H., Li, B., Xiao, B., Yang, Y., Ling, J., 2022a. Nonsingular recursive-structure sliding mode control for high-order nonlinear systems and an application in a wheeled mobile robot. ISA transactions 130, 553–564.
[20] **e S, Chen Q. Predefined-time disturbance estimation and attitude control for rigid spacecraft[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023.
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