Generic placeholder image

Recent Advances in Electrical & Electronic Engineering

Author(s): Kailin Lv, Cheng Wen*, Qiankai Zhao, Mingwei Li, Xin Wang and Xingqiao Zhao

DOI: 10.2174/2352096515666220506174049

DownloadDownload PDF Flyer Cite As
Sensorless Control of Permanent Magnet Linear Synchronous Motor Based On Double Sliding Mode

Page: [198 - 207] Pages: 10

  • * (Excluding Mailing and Handling)

Abstract

Background: This document presents a dual sliding mode vector control method to estimate speed and position of Permanent Magnet Linear Synchronous Motor (PMLSM).

Methods: Firstly, the motor simulation model is built based on the mathematical model of PMLSM. For the sake of solving the problems of the jitter and position angle deviation in the traditional SMO, the inverse hyperbolic tangent function is used and the software phase-locked loop algorithm is introduced, and the gain of exponential approach rate is improved to change the real-time, so as to eliminate the problems of high-frequency jitter and angle deviation. Secondly, global fractional order integral sliding mode control (GFOISMC) is used to replace PI control to eliminate jitter and improve the robustness to load disturbance. Finally, the dynamic performance of the system under constant speed no-load and constant speed sudden load is simulated.

Results: The simulation result proves a proposed dual sliding mode control strategy combining the improved SMO and GFOISMC that can effectively reduce the jitter and improve robustness.

Conclusion: In this paper, two sensorless control strategies are compared and their robust performance is studied. The two control scheme is simulated in the MATLAB/Simulink environment.

Keywords: Permanent magnet linear synchronous motor, sliding mode observer, PI control, global fractional order integral sliding mode control, speed/position estimated, sensorless.

Graphical Abstract

[1]
M. Yahiaoui, A. Kechich, and I.K.J.I.J.O.P.E. Bouserhane, "Adaptive sliding mode control of PMLSM drive", International Journal of Power Electronics & Drive Systems, vol. 8, no. 2, pp. 639-646, 2017.
[http://dx.doi.org/10.11591/ijpeds.v8.i2.pp639-646]
[2]
R. Yang, M. Wang, and L. Li, "Integrated uncertainty/disturbance compensation with second-order sliding-mode observer for PMLSM-driven motion stage", IEEE Trans. Power Electron. 2018
[3]
Q.P. Tang, D. Chen, and X. He, "Integration of enhanced flux linkage observer and I-f starting method for wide speed-range sensorless SPMSM drives", IEEE Trans. Power Electron., p. 2019 no. 99, pp. 1-1, .
[4]
S.S. Badini, and V. Verma, "A new stator resistance estimation technique for vector-controlled PMSM drive", IEEE Trans. Ind. Appl., vol. 56, no. 6, pp. 1-1, 2020.
[http://dx.doi.org/10.1109/TIA.2020.3025265]
[5]
Z. Yin, F. Gao, and Y. Zhang, A review of nonlinear Kalman filter appling to sensorless control for AC motor drives., CES Transactions on Electrical Machines and Systems, 2019.
[http://dx.doi.org/10.30941/CESTEMS.2019.00047]
[6]
G. Wang, R. Liu, N. Zhao, D. Ding, and D. Xu, "Enhanced linear ADRC strategy for HF pulse voltage signal injection-based sensorless IPMSM drives", IEEE Trans. Power Electron., vol. 34, no. 1, pp. 514-525, 2019.
[http://dx.doi.org/10.1109/TPEL.2018.2814056]
[7]
D. Liang, J. Li, and R. Qu, "Adaptive second-order sliding-mode observer for PMSM sensorless control considering VSI nonlinearity", IEEE Trans. Power Electron., vol. 33, no. 10, pp. 8994-9004, 2017.
[8]
L. Sheng, W. Li, and Y. Wang, "Sensorless Control of a Shearer Short-Range Cutting Interior Permanent Magnet Synchronous Motor Based on a New Sliding Mode Observer", IEEE Access, vol. 5, pp. 18439-18450, 2017.
[http://dx.doi.org/10.1109/ACCESS.2017.2734699]
[9]
G. Wang, T. Li, G. Zhang, X. Gui, and D. Xu, "Position estimation error reduction using recursive-least-square adaptive filter for model-based sensorless interior permanent-magnet synchronous motor drives", IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 5115-5125, 2014.
[http://dx.doi.org/10.1109/TIE.2013.2264791]
[10]
Z. Li, Q. Zhang, and H. Sun, "Permanent magnet synchronous linear motor control system based on improved sliding mode observer", 9th Frontier Academic Forum of Electrical Engineering, FAFEE, p. 2021pp. 581-589, .
[http://dx.doi.org/10.1007/978-981-33-6609-1_52]
[11]
J. Ding, A. Wang, and T. Zhang, "Research on sensorless control of permanent magnet synchronous motor based on adaptive sliding mode observer", 4th International Conference on Circuits, Systems and Simulation, ICCSS 2021, p. 2021 pp. 195-201, .
[http://dx.doi.org/10.1109/ICCSS51193.2021.9464214]
[12]
D. Wang, M. Wang, and Y. Li, "Genetic and fuzzy fusion algorithm for coal-feeding optimal control of coal-fired power plant", 2020 International Symposium on Computer, Consumer and Control (IS3C), p. 2020pp. 500-503, .
[http://dx.doi.org/10.1109/IS3C50286.2020.00136]
[13]
R. Wang, Z. Zhou, and G. Qu, "Fuzzy neural network PID control based on RBF neural network for variable configuration spacecraft", Electronic and Automation Control Conference (IAEAC), 2018pp. 1203-1207
[http://dx.doi.org/10.1109/IAEAC.2018.8577860]
[14]
G. Jianguo, L. Ningbo, Y. Shengjiang, and Z. Jun, "A new adaptive sliding mode control for a mismatched second-order system", 2020 Chinese Control And Decision Conference (CCDC), 2020pp. 2606-2610
[http://dx.doi.org/10.1109/CCDC49329.2020.9164307]
[15]
X. Meng, H. Yu, and X. Liu, "Adaptive backstepping speed control and sliding mode current regulation of permanent magnet synchronous motor", 2018 Chinese Control And Decision Conference (CCDC), 2018pp. 4025-4029
[http://dx.doi.org/10.1109/CCDC.2018.8407822]
[16]
Y. Yang, and Y. Yan, "Backstepping sliding mode control for uncertain strict-feedback nonlinear systems using neural-network-based adaptive gain scheduling", J. Syst. Eng. Electron., vol. 29, no. 3, pp. 580-586, 2018.
[http://dx.doi.org/10.21629/JSEE.2018.03.15]
[17]
S. Heidarpoor, M. Tabatabaei, and H. Khodadadi, "Speed control of a DC motor using a fractional order sliding mode controller", 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017, June 6, 2017 - June 9, 2017, 2017: IEEE EMC Society; IEEE Industry Applications Society (IAS); IEEE Power and Energy Society (PES).
[http://dx.doi.org/10.1109/EEEIC.2017.7977822]
[18]
C. Yin, J. Zhou, and J. Xue, "Design of the fractional-order adaptive nonsingular terminal sliding mode controller for 6-DOF robotic manipulator", 30th Chinese Control and Decision Conference, CCDC 2018, p. 2018pp. 5954-5959, .
[http://dx.doi.org/10.1109/CCDC.2018.8408174]
[19]
H. Yu, C. Guo, and H. Li, "Trajectory tracking control of an underactuated UUV using a novel nonlinear integral sliding mode surface", 37th Chinese Control Conference, CCC 2018, p. 2018pp. 3012-3017, .
[http://dx.doi.org/10.23919/ChiCC.2018.8484145]