Torque Ripples Minimization Strategies of Switched Reluctance Motor - A Review

The Switched Reluctance Motor (SRM) is a prominence type of electric motor because it has many advantages such as simple structure, consistency and durability, low cost, wide speed range and prominent fault-tolerant ability. This benefits of SRM are faced by the existence of torque ripples because of the highly nonlinear electromagnetic characteristics, and complex control due to nonlinear behavior and also the controller needs rotor position information. The existence of the torque ripple leads to the generation of annoying noise and undesired vibration during the operation, the torque ripple can be reduced by improving the magnetic design of the motor and/or by using advanced electronic control strategies. In this paper, various control strategies used to reduce torque ripples are explained and outlined, the operation mechanism, benefits, drawbacks, and suitable application of each control technique are introduced.

[1]  Amissa Arifin,et al.  State of the Art of Switched Reluctance Generator , 2012 .

[2]  J. Milimonfared,et al.  Dynamic modeling and simulation of a series hybrid electric vehicle using a switched reluctance motor , 2007, 2007 International Conference on Electrical Machines and Systems (ICEMS).

[3]  Sanjib Kumar Panda,et al.  Multiobjective optimization of current waveforms for switched reluctance motors by genetic algorithm , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[4]  Ge Baoming,et al.  Nonlinear internal-model control for switched reluctance drives , 2002 .

[5]  M. Hamouda,et al.  Artificial intelligence based torque ripple minimization of Switched Reluctance Motor drives , 2016, 2016 Eighteenth International Middle East Power Systems Conference (MEPCON).

[6]  Marina Schroder,et al.  Electronic Control Of Switched Reluctance Machines , 2016 .

[7]  S. Paramasivam,et al.  Switched Reluctance Motor Modeling, Design, Simulation, and Analysis: A Comprehensive Review , 2008, IEEE Transactions on Magnetics.

[8]  Barry W. Williams,et al.  Torque ripple reduction of switched reluctance motors by phase current optimal profiling , 1992, PESC '92 Record. 23rd Annual IEEE Power Electronics Specialists Conference.

[9]  Kari Tammi,et al.  A review on linear switched reluctance motor , 2017 .

[10]  B. Singh,et al.  Performance analysis of adaptive fuzzy logic controller for switched reluctance motor drive system , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[11]  Barrie Mecrow,et al.  Flux and torque control of switched reluctance machines , 1998 .

[12]  José M. N. Vieira,et al.  Neuro-Fuzzy Systems: A Survey , 2004 .

[13]  R. Krishnan,et al.  Switched reluctance motor drives : modeling, simulation, analysis, design, and applications , 2001 .

[14]  Mohamed Darwish,et al.  Critical review of converter topologies for switched reluctance motor drives , 2007 .

[15]  J. Villegas,et al.  Model Predictive Control of a switched reluctance machine using discrete Space Vector Modulation , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[16]  Manfred Morari,et al.  Model predictive torque control of a Switched Reluctance Motor , 2009, 2009 IEEE International Conference on Industrial Technology.

[17]  Cunhe Li,et al.  An improved finite-state predictive torque control for switched reluctance motor drive , 2018 .

[18]  Luís Guilherme Barbosa Rolim,et al.  Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation , 2000, ArXiv.

[19]  S. K. Panda,et al.  Low Torque Ripple Control of Switched Reluctance Motors Using Iterative Learning , 2001, IEEE Power Engineering Review.

[20]  Mazen Abdel-Salam,et al.  Fuzzy logic control of modern aircraft electrical power system during transient and steady-state operating conditions , 2014, 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[21]  Sanjib Kumar Panda,et al.  Application of nonlinear control to switched reluctance motors: a feedback linearisation approach , 1996 .

[22]  Barry W. Williams,et al.  Neural networks used for torque ripple minimisation from a switched reluctance motor , 2002 .

[23]  Giuseppe Buja,et al.  Variable structure control of an SRM drive , 1993, IEEE Trans. Ind. Electron..

[24]  S. M. Saghaian-Nejad,et al.  Torque ripple reduction of SRM drives below the base speed using commutation angles control , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).

[25]  X.D. Xue,et al.  Optimization and Evaluation of Torque-Sharing Functions for Torque Ripple Minimization in Switched Reluctance Motor Drives , 2009, IEEE Transactions on Power Electronics.

[26]  László Számel,et al.  Enhancement Of the Switched Reluctance Motor Performance for Electric Vehicles Applications Using Predictive Current Control , 2018, 2018 International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE).

[27]  Chang-Liang Xia,et al.  RBF ANN Nonlinear Prediction Model Based Adaptive PID Control of Switched Reluctance Motor Drive , 2006, ICONIP.

[28]  Xin Li,et al.  Model Predictive Current Control of Switched Reluctance Motors With Inductance Auto-Calibration , 2016, IEEE Transactions on Industrial Electronics.

[29]  László Számel,et al.  State of the Art of Switched Reluctance Motor Drives and Control Techniques , 2018, 2018 Twentieth International Middle East Power Systems Conference (MEPCON).

[30]  Xin Li,et al.  Inductance Surface Learning for Model Predictive Current Control of Switched Reluctance Motors , 2015, IEEE Transactions on Transportation Electrification.

[31]  S. Peresada,et al.  Feedback linearizing control of switched reluctance motors , 1987 .

[32]  Ying Bai,et al.  Fundamentals of Fuzzy Logic Control — Fuzzy Sets, Fuzzy Rules and Defuzzifications , 2006 .

[33]  Barry W. Williams,et al.  Switched reluctance motor control via fuzzy adaptive systems , 1995 .

[34]  J.Y.M. Cheung,et al.  Fuzzy logic control of refrigerant flow , 1996 .

[35]  Michael G. Egan,et al.  Development of smooth torque in switched reluctance motors using self-learning techniques , 2002 .

[36]  Iqbal Husain,et al.  Torque ripple minimization in switched reluctance motors using adaptive fuzzy control , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[37]  T. J. E. Miller,et al.  Instantaneous torque control of electric motor drives , 1985, 1985 IEEE Power Electronics Specialists Conference.

[38]  Iqbal Husain,et al.  Torque ripple minimization in switched reluctance motor drives by PWM current control , 1996 .

[39]  Sanjib Kumar Panda,et al.  Application of iterative learning for constant torque control of switched reluctance motors , 1999 .

[40]  L. Szamel.  Optimal Control of Transistor SRM Converters with Reduced Number of Switching Element , 2006, 2006 12th International Power Electronics and Motion Control Conference.

[41]  Zhang Yingchao,et al.  An adaptive sliding mode current control for switched reluctance motor , 2014, 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific).

[42]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[43]  Lin Feng,et al.  Torque ripple minimization in switched reluctance motors using fuzzy-neural network inverse learning control , 2003, The Fifth International Conference on Power Electronics and Drive Systems, 2003. PEDS 2003..

[44]  S. K. Sahoo,et al.  Indirect torque control of switched reluctance motors using iterative learning control , 2005, IEEE Transactions on Power Electronics.

[45]  J.M.D. Murphy,et al.  Torque ripple minimization in switched reluctance drives using self-learning techniques , 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.

[46]  D.-H. Lee,et al.  Direct instantaneous torque control of switched reluctance machines using 4-level converters , 2009 .

[47]  Marcelo Godoy Simões,et al.  Fuzzy optimisation based control of a solar array system , 1999 .

[48]  A. N. Safacas,et al.  A Novel Control Strategy Applicable for a Dual AC Drive With Common Mechanical Load , 2012, IEEE Transactions on Industry Applications.

[49]  J.M.D. Murphy,et al.  Neural network based torque ripple minimisation in a switched reluctance motor , 1994, Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.

[50]  Iqbal Husain,et al.  A Fixed Switching Frequency Predictive Current Control Method for Switched Reluctance Machines , 2014, IEEE Transactions on Industry Applications.