Design of a Trajectory Tracking Controller for Coreless Tubular Linear Motor Using Model Predictive Controller
DOI:
https://doi.org/10.5281/zenodo.15104520Keywords:
fcs-mpc, tubular linear motor, coreless linear motorAbstract
This paper presents a cascaded control structure for a coreless tubular linear motor. The system includes position and speed loops employing PI controllers, and a current loop using Finite Control Set Model Predictive Control (FCS-MPC). This structure addresses challenges associated with low stator inductance, specifically its impact on current control. A simulation model was developed using MATLAB/Simulink. The simulation results demonstrate the effectiveness of the proposed solution in tracking the desired trajectory and minimizing the negative effects of low stator inductance on the current loop.
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Wakiwaka, H. (2024). Magnetic application in linear motor. in Handbook of Magnetic Material for Motor Drive Systems, pp. 1-16. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-9644-3_54-1.
Gang, L. Y. U. (2020). Review of the application and key technology in the linear motor for the rail transit. Proceedings of the CSEE, 40(17), 5665-5675. doi:10.13334/j.0258-8013.pcsee.200488.
Jansen, J. W., Smeets, J. P. C., Overboom, T. T., Rovers, J. M. M., & Lomonova, E. A. (2014). Overview of analytical models for the design of linear and planar motors. IEEE Transactions on Magnetics, 50(11), 1-7. doi:10.1109/TMAG.2014.2328556.
Boldea, I., Tutelea, L. N., Xu, W., & Pucci, M. (2017). Linear electric machines, drives, and MAGLEVs: An overview. IEEE Transactions on Industrial Electronics, 65(9), 7504-7515. doi:10.1109/TIE.2017.2733492.
Shahid, M. B., Jin, W., Abbasi, M. A., Husain, A. R. B., Munir, H. M., Hassan, M., ... & Alghamdi, T. A. (2024). Model predictive control for energy efficient AC motor drives: An overview. IET Electric Power Applications, 18(12), 1894-1920. https://doi.org/10.1049/elp2.12517.
Boldea, I. (2017). Electric generators and motors: An overview. CES Transactions on Electrical Machines and Systems, 1(1), 3-14. doi:10.23919/TEMS.2017.7911104.
Gieras, J. F., Piech, Z. J., & Tomczuk, B. (2018). Linear synchronous motors: Transportation and automation systems. CRC Press. https://doi.org/10.3390/en14092549.
Jang, S. M., Choi, J. Y., Cho, H. W., & Lee, S. H. (2005). Thrust analysis and measurements of tubular linear actuator with cylindrical halbach array. IEEE Transactions on Magnetics, 41(5), 2028-2031. doi:10.1109/TMAG.2005.846266.
Abdalla, I. I., Ibrahim, T., & Nor, N. M. (2018). Analysis of tubular linear motors for different shapes of magnets. IEEE Access, 6, 10297-10310. doi:10.1109/ACCESS.2017.2775863.
Bianchi, N., Bolognani, S., Corte, D. D., & Tonel, F. (2003). Tubular linear permanent magnet motors: An overall comparison. IEEE Transactions on Industry Applications, 39(2), 466-475. doi:10.1109/TIA.2003.809444.
Leandro, M., Bianchi, N., Molinas, M., & Ummaneni, R. B. (2019, May). Low inductance effects on electric drives using slotless permanent magnet motors: A framework for performance analysis. In 2019 IEEE International Electric Machines & Drives Conference (IEMDC), pp. 1099-1105. IEEE. doi:10.1109/IEMDC.2019.8785241.
Kang, G., & Nam, K. (2005). Field-oriented control scheme for linear induction motor with the end effect. IEE Proceedings-Electric Power Applications, 152(6), 1565-1572. https://doi.org/10.1049/ip-epa:20045185.
Cui, L., Zhang, H., & Jiang, D. (2019). Research on high efficiency V/f control of segment winding permanent magnet linear synchronous motor. IEEE Access, 7, 138904-138914. doi:10.1109/ACCESS.2019.2930047.
Atencia, J., Martinez-Iturralde, M., Martinez, G., Rico, A. G., & Florez, J. (2003, June). Control strategies for positioning of linear induction motor: tests and discussion. in IEEE International Electric Machines and Drives Conference, 3, pp. 1651-1655. IEEE. doi:10.1109/IEMDC.2003.1210673.
Yu, L., Huang, J., Luo, W., Chang, S., Sun, H., & Tian, H. (2023). Sliding-mode control for PMLSM position control—A review. Actuators 12, 31. https://doi.org/10.3390/act12010031.
Shao, K., Zheng, J., Wang, H., Wang, X., Lu, R., & Man, Z. (2021). Tracking control of a linear motor positioner based on barrier function adaptive sliding mode. IEEE Transactions on Industrial Informatics, 17(11), 7479-7488. doi:10.1109/TII.2021.3057832.
Liu, X., Wu, Q., Zhen, S., Zhao, H., Li, C., & Chen, Y. H. (2022). Robust constraint-following control for permanent magnet linear motor with optimal design: A fuzzy approach. Information Sciences, 600, 362-376. https://doi.org/10.1016/j.ins.2022.03.083.
Luo, M., Duan, J. A., & Yi, Z. (2023). Speed tracking performance for a coreless linear motor servo system based on a fitted adaptive fuzzy controller. Energies, 16(3), 1259. https://doi.org/10.3390/en16031259.
Liu, Z., Gao, H., Yu, X., Lin, W., Qiu, J., Rodríguez-Andina, J. J., & Qu, D. (2023). B-spline wavelet neural-network-based adaptive control for linear-motor-driven systems via a novel gradient descent algorithm. IEEE Transactions on Industrial Electronics, 71(2), 1896-1905. doi:10.1109/TIE.2023.3260318.
Wang, Z., Hu, C., Zhu, Y., He, S., Yang, K., & Zhang, M. (2017). Neural network learning adaptive robust control of an industrial linear motor-driven stage with disturbance rejection ability. IEEE Transactions on Industrial Informatics, 13(5), 2172-2183. doi:10.1109/TII.2017.2684820.
Ding, R., Ding, C., Xu, Y., & Yang, X. (2022). Neural-network-based adaptive robust precision motion control of linear motors with asymptotic tracking performance. Nonlinear Dynamics, 108(2), 1339-1356. https://doi.org/10.1007/s11071-022-07258-0.
Cheema, M. A. M., & Fletcher, J. E. (2020). Advanced direct thrust force control of linear permanent magnet synchronous motor. Springer International Publishing. https://doi.org/10.1007/978-3-030-40325-6.
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Copyright (c) 2025 Nguyen Trung Thanh, Nguyen Minh Cuong, Dang Danh Hoang, Le Thi Thuy Ngan
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