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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 2, Pages 864-883, DOI: https://doi.org/10.21307/ijssis-2017-899
License : (CC BY-NC-ND 4.0)
Received Date : 27-December-2015 / Accepted: 29-March-2016 / Published Online: 01-June-2016
The doubly salient mechanical structure and switching characteristics of switched reluctance
motor (SRM) led to torque ripple, low dynamic performance and other problems when using
conventional control algorithm in speed control method. In view of the fractional PID control
algorithm has strong robustness and advantage of fuzzy control, and it does not depend on the precise
mathematical model, the paper proposed a control algorithm based on fuzzy fractional order PID
torque control algorithm. On the basis of fuzzy rules, using this control algorithm to adaptive SRM
torque control, and using speed deviation and deviation changing rate as its input, the SRM turn torque
ripple is smaller by changing proportional coefficient, integral order and differential order of the fuzzy
inference adaptive fractional order PID controller. The simulation results indicate that the control
algorithm is feasible, torque ripple of switched reluctance motor is smaller, dynamic response is better.
 Ge Baoming and Jiang Jingping, “Overviews of Control Strategies for Switched Reluctance
Motor”, Electric drive, Vol. 31, No.2, 2001, pp. 8-13.
 Wu Jianhua, “Switched reluctance motor design and application”, Beijing: China Machine
Chen Zhemin and Pan Zaiping, “Switch reluctance motor optimal control research based on
iterative learning”, Journal of Zhejiang University, Vol.40, No.1, 2006, pp. 25-28.
 Xia Changliang and Wang Mingchao, “Single Neuron PID Control for Switched Reluctance
MotorsO Based on RBF Neural Network”, Proceedings of the CSEE, Vol. 25, No.15, 2005, pp.
 Chen Yongguang and Wang Honghua, “Study of Fuzzy- single Neuron PID Control of
Switched Reluctance Motor”, Machine Building & Automation, Vol. 1, 2013, pp. 157-159.
 Pan Zaiping and Luo Xingbao, “Torque Ripple Minimization of Switched Reluctance Motor
Based on Iterative Learning Control”, Transactions of China Electrotechnical Society, Vol. 07,
 Xang Xudong, Wang Xilian, Wang Yan etal, “Double Amplitude Chopping Control of
Switched Reluctance Motor”, Proceedings of the CSEE, Vol.04, 2000, pp. 84-87.
 Xiu Jie and Xia Changliang, “GA-Based Adaptive Fuzzy Logic Controller for Switched
Reluctance Motor”, Transactions of China Electrotechnical Society, Vol. 22, No.11, 2007, pp. 69-
 P.J.Lawreson, J.M.stephenson,P.T.Blenkinsop, et al, “Variable-speed Switched Reluctance
Motors”, IEEE Proceedings on Electric Power Applications, Vol.127, No.4, 1980, pp.253-265.
 Podlubny I., “Geometric and physical interpretation of fractional integration and fractional
differentiation”, Fractional Calculus and Applied Analysis, Vol.5, No. 4, 2002, pp.367-386.
 Li Hongsheng, “fractional-order control and PI λ Dμ controller design and progress”,
Machine Tool & Hydraulics, Vol. 35, No.7, 2007, pp. 237-240.
 Bhaskaran T, Chen Y Q, Xue D Y. “Practical turning of fractional order proportional and
integral controller(I): tuning rule development.//Proceeedings of the ASME 2007 International
Design Engineering Technical Conference & Computer and Information in Engineering
Conference IDETC/CIE. Las Vegas, Nevada, USA: Design Engineering Division and Computers
and Information in Engineering Division, Vol. 5, 2007, pp. 1245-1258.
 Petras I, Vinagre B M., “Practical application of digital fractional-order controller to temperature control”, Acta Montanistica Slovaca, Vol.7, No.2, 2002,pp. 131-137.
 Podlubny I. “Fractional-order system and PIλDμ-controllers”, IEEE Transactions on Automatic Control, Vol. 44, No.1, 1999, pp. 208-214.
 Vinagre B M, Monje C A, Calderon. Fractional order systems and fractional order control actions. Lecture 3 of the IEEE CDC02 TW#2: Fractional Calculus Applications in Automatic Control and Robotics. USA: IEEE, 2002, pp.1-23.
 Zhao Chunna, Li Yingshun, Lu Tao, “Fractional Order Systems Analysis and Design”, Beijing:Natonal Defense Industry Press, 2011.
 Podlubny I., “Fractional Differential Equations”, San Diego: Academic Press, 1999.
 Ferreira N M F, Machado J A T., “Fractional-order hybrid control of robotic manipulators”, Proceedings of the 11th International Conference on Advanced Robotics, Piscataway, Japan: IEEE Press, 2003, pp.393-398.
 Cao Junyi, Liang Jin and Cao Binggang, “Fuzzy Fractional Order Controller Based on Fractional Calculus”, Journal of Xi’an Jiaotong University, Vol.39, No.11, 2006, pp. 1246-1249.
 Liang Taonian, “Fraetional Order PID Controllers and Analysis of Stability Region for Fractional Order Systems with Uncertain Parameters”, Xidian University, 2011.
 T.Ohji, S.C.Mukhopadhyay, M.Iwahara and S.Yamada, "Permanent Magnet Bearings for Horizontal and Veryical Shaft Machines - A Comparative Study", Journal of Applied Physics, Vol. 85, No. 8, pp 4648-4650, April 1999.
 Aghababa M P, Borjkhani M., “Chaotic fractional‐order model for muscular blood vessel and its control via fractional control scheme”, Complexity, 2014.
 S.C.Mukhopadhyay, T.Ohji, M.Iwahara and S.Yamada, "Design, Analysis and Control of a New Repulsive Type Magnetic Bearing", IEE proceeding on Electric Power Applications, vol. 146, no. 1, pp. 33-40, January 1999.
 Dumlu A and Erenturk K, “Trajectory Tracking Control for a 3-DOF Parallel Manipulator Using Fractional-Order PID Control”, Industrial Electronics, IEEE Transactions on, Vol. 61,No.7, 2014, pp. 3417-3426
 Vinagre B M, Podlubny I, Hernandez A, Feliu V., “Some applications of fractional order operators used in control theory and applieations”, Fractonal Calculus and Applied Analysis, Vol.3, No.3, 2000, pp.231-248.