Model Predictive Control of a Fault-Tolerant- Hybrid Excitation Axial Field-Flux-Switching Permanent Magnet Motor

Document Type : Research Article


1 Electrical Engineering Department, Faculty of Engineering, Yasouj University, Yasouj, Iran

2 Department of Electrical Engineering, Pooyesh Institute of Higher Education, Qom, Iran


To improve the performance of the fault-tolerant-hybrid excitation axial field flux-switching (FT-HEAFFS) motor and attain the minimum copper loss, a fault-tolerant control method based on the model predictive control algorithm is proposed. Considering a 6 stator slots/13- rotor poles FT-HEAFFS machine as the control object, under the open circuit failure of single-phase winding, the minimum cropper loss fault-tolerant method based on the model predictive torque control (MPTC) and direct torque control are studied and analyzed, respectively. The feasibility and effectiveness of the proposed fault-tolerant control method are verified. The research results showed that both methods could make the speed, torque and stator flux-linkage almost unchanged, ensuring the stable operation of the system. Compared with direct torque control, the model predictive flux control had smaller flux-linkage ripple before and after the open circuit failure.


Main Subjects

[1] X. Dianguo, B. Wang, G. Zhang, G. Wang, and Y. Yu. "A review of sensorless control methods for AC motor drives." CES Transactions on electrical machines and systems, vol. 2, no. 1, pp. 104-115, 2018.
[2] A. Metin, S. Huang, T. A. Lipo. "Design, analysis, and control of a hybrid field-controlled axial-flux permanent-magnet motor" IEEE Transactions on industrial electronics, vol. 57, no. 1, pp. 78-87, 2009.
[3] D. Wang, S. Chunlei, and W. Xiuhe. "Investigation of a novel hybrid radial and axial magnetic circuit permanent magnet motor with flux weakening capability for EVs." In 2017 20th International Conference on Electrical Machines and Systems (ICEMS), pp. 1-6. IEEE, 2017.
[4] Zhang W, Liang X, Lin M, et al. "Design and Analysis of Novel Hybrid-Excited Axial Field Flux-Switching Permanent Magnet Machines." IEEE Transactions on Applied Superconductivity, vol. 26, no. 4, pp.1-5, 2016.
[5] Z. Zhang, Y. Liu, B. Tian, W. Wang, "Investigation and implementation of a new hybrid excitation synchronous machine drive system." IET Electric Power Applications, vol.11, no. 4, pp.487-494, 2017.
[6] J. Sawma, F. Khatounian, E. Monmasson, L. Idkhajine, R. Ghosn, "Analysis of the impact of online identification on model predictive current control applied to permanent magnet synchronous motors." IET Electric Power Applications, vol. 11, no.5, pp.864-873, 2017.
[7] Y. Wang, , Z. Deng, X. Wang, "A parallel hybrid excitation flux-switching generator DC power system based on direct torque linear control. IEEE Transactions on Energy Conversion, vol. 27, no. 2, pp.308-317, 2012.
[8] X.Yuan, W. Zhang, X. Liang, L.Hao, Y. Liang, "Research of Control Methods for Axial Field Flux-Switching Permanent Magnet Machine". In 2018 21st International Conference on Electrical Machines and Systems (ICEMS), pp. 1218-1222. IEEE 2018.
[9] H. Miranda, P. Cortes, J. I. Yuz, et al. "Predictive Torque Control of Induction Machines Based on State-Space Models" IEEE Transactions on Industrial Electronics, vol. 56, no. 6, pp. 1916-1924, 2009.
[10] T. Wang, "Model predictive control of electromagnetic torque in permanent magnet synchronous machines." PhD diss., 2013.
[11] J.Rahmani Fard, M. Ardebili, "Sensor-less control of a novel axial flux-switching permanent-magnet motor", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 37, no. 6, pp. 2299-2312, 2018.
[12] T. Geyer, "Model predictive control of high power converters and industrial drives". John Wiley & Sons, 2018.
[13] W. Huang, W. Hua, F. Chen, F. Yin, J. Qi,. "Model predictive current control of open-circuit fault-tolerant five-phase flux-switching permanent magnet motor drives." IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 6, no. 4, pp.1840-1849, 2018.
[14] Z. Chen, X.D. Liu, Y.Q. Jin, Y.P. Dai, "Direct torque control of permanent magnet synchronous motors based on extended Kalman filter observer of flux linkage", Proceedings of the CSEE, 33, 2008.
[15] S. Hanke, O. Wallscheid, J. Böcker, "A direct model predictive torque control approach to meet torque and loss objectives simultaneously in permanent magnet synchronous motor applications." In 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), pp. 101-106, IEEE 2017.
[16] J. Yu, P. Shi, W. Dong, B. Chen, C. Lin, "Neural network-based adaptive dynamic surface control for permanent magnet synchronous motors." IEEE transactions on neural networks and learning systems, vol. 26, no. 3, pp. 640-645, 2014.
[17] F.J. Lin, J.C. Hwang, P.H. Chou, Y.C. Hung, "FPGA-based intelligent-complementary sliding-mode control for PMLSM servo-drive system." IEEE transactions on power electronics, vol. 25, no. 10, pp. 2573-2587, 2010.
[18] W. Zhang, X. Liang, F. Yu, "Fault-Tolerant Control of Hybrid Excitation Axial Field Flux-Switching Permanent Magnet Machines", IEEE Transactions on Magnetics, vol. 54, no. 11, pp. 1-5, 2018.