Hybrid Fuzzy Algorithm for the Novel Yokeless Axial Flux-Switching Permanent Magnet Motor

Document Type : Research Article


1 Associate Professor, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran.

2 موسسه آموزش عالی پویش قم


A new fuzzy PI control algorithm for a novel yokeless and segmented armature axial flux-switching sandwiched permanent-magnet motor (YASA-AFFSSPM) is proposed in this paper. In the conventional fuzzy PI control of the permanent magnet synchronous motor the torque ripple is large and the control accuracy is not high precise. A new fuzzy PI control algorithm is proposed to solve this problem, and a prototype of the YASA-AFFSSPM motor is fabricated and the method is tested. The simulation and experimental results demonstrate that the new fuzzy PI controller can improve the robustness of the system and improve the precision. Further, the dynamic performance of the YASAAFFSSPM motor is excellent.


Main Subjects

[1] M. Hannan, M.M. Hoque, A. Mohamed, A. Ayob, Review of energy storage systems for electric vehicle applications: Issues and challenges, Renewable and Sustainable Energy Reviews, 69 (2017) 771-789.
[2] C. Bae, J. Kim, Alternative fuels for internal combustion engines, Proceedings of the Combustion Institute, 36(3) (2017) 3389-3413.
[3] A.M. Andwari, A. Pesiridis, S. Rajoo, R. Martinez-Botas, V. Esfahanian, A review of Battery Electric Vehicle technology and readiness levels, Renewable and Sustainable Energy Reviews, 78 (2017) 414-430.
[4] W. Li, R. Long, H. Chen, J. Geng, A review of factors influencing consumer intentions to adopt battery electric vehicles, Renewable and Sustainable Energy Reviews, 78 (2017) 318-328.
[5] A. Sarigiannidis, M. Beniakar, P. Kakosimos, A. Kladas, Performance evaluation and thermal analysis of interior permanent magnet traction motor over a wide load range, in: 2016 XXII International Conference on Electrical Machines (ICEM), IEEE, 2016, pp. 2662-2668.
[6] [B. Leard, J. Linn, V. McConnell, Fuel prices, new vehicle fuel economy, and implications for attribute-based standards, Journal of the Association of Environmental and Resource Economists, 4(3) (2017) 659-700.
[7] A. Ahmed, A.Q. Al-Amin, A.F. Ambrose, R. Saidur, Hydrogen fuel and transport system: A sustainable and environmental future, International journal of hydrogen energy, 41(3) (2016) 1369-1380.
[8] A. Stephan, B. Battke, M.D. Beuse, J.H. Clausdeinken, T.S. Schmidt, Limiting the public cost of stationary battery deployment by combining applications, Nature Energy, 1(7) (2016) 1-9.
[9] Q. An, J. Liu, Z. Peng, L. Sun, L. Sun, Dual-space vector control of open-end winding permanent magnet synchronous motor drive fed by dual inverter, IEEE Transactions on Power Electronics, 31(12) (2016) 8329-8342.
[10]S. Hirosawa, M. Nishino, S. Miyashita, Perspectives for highperformance permanent magnets: applications, coercivity, and new materials, Advances in Natural Sciences: Nanoscience and Nanotechnology, 8(1) (2017) 013002.
[11]M. Linke, R. Kennel, J. Holtz, Sensorless speed and position control of synchronous machines using alternating carrier injection, in: IEEE International Electric Machines and Drives Conference, 2003. IEMDC’03., IEEE, 2003, pp. 1211-1217.
[12]Z.C.W.Q.W. Shujie, L. Xinran, Data processing system of 21 bit photoelectric encoder [J], Journal of Electronic Measurement and Instrument, 6 (2010).
[13]C. Li, W. Yin, X. Feng, Y. Zhang, Brushless DC motor stepless speed regulation system based on fuzzy adaptive PI controller, Journal of Mechanical & Electrical Engineering, 29 (2012) 49-52.
[14]L. Yong-hua, P. You-guo, Research of the Initial Rotor Position Based on the Principle of Magnetic Orientation [J], Electric Drive, 3 (2010).
[15]S. Maiti, C. Chakraborty, S. Sengupta, Simulation studies on model reference adaptive controller based speed estimation technique for the vector controlled permanent magnet synchronous motor drive, Simulation Modelling Practice and Theory, 17(4) (2009) 585-596.
[16]E. Babaei, M.B. Sharifian, R.A. Farshbaf, S. Hosseini, Verification of a new method for PI block design of MRAS-based sensorless speed estimators, in: 2011 International Conference on Electrical Machines and Systems, IEEE, 2011, pp. 1-6.
[17]A. Khlaief, M. Boussak, A. Chaari, A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive, Electric Power Systems Research, 108 (2014) 1-15.
[18]M. Comanescu, L. Xu, Sliding-mode MRAS speed estimators for sensorless vector control of induction machine, IEEE Transactions on Industrial Electronics, 53(1) (2006) 146-153.
[19]H.M. Kojabadi, L. Chang, R. Doraiswami, A MRAS-based adaptive pseudoreduced-order flux observer for sensorless induction motor drives, IEEE Transactions on Power Electronics, 20(4) (2005) 930-938.
[20]T. Orlowska-Kowalska, M. Dybkowski, Stator-current-based MRAS estimator for a wide range speed-sensorless induction-motor drive, IEEE Transactions on industrial electronics, 57(4) (2009) 1296-1308.
[21]J. Zhao, M. Lin, D. Xu, L. Hao, W. Zhang, Vector control of a hybrid axial field flux-switching permanent magnet machine based on particle swarm optimization, IEEE Transactions on Magnetics, 51(11) (2015) 1-4.
[22]J.R. Fard, M. Ardebili, Design and control of a novel yokeless axial flux-switching permanent-magnet motor, IEEE Transactions on Energy Conversion, 34(2) (2018) 631-642.