Virtual-Flux Finite Control Set Model Predictive Control of Switched Reluctance Motor Drives

In this paper, a virtual-flux finite control set model predictive control (FCS-MPC) strategy of switched reluctance motor (SRM) drives is proposed. This technique uses a flux linkage-tracking algorithm to indirectly control the phase current. The algorithm is based on an estimated virtual flux obtained from the static characteristics of the machine. A cost function is used to evaluate the switching state that produces the minimum error. A state graph for switching states limitation is also proposed to reduce the number of commutations and computational burden. Simulation results evidence the enhanced performance of the proposed technique with respect to hysteresis control for current tracking using two different current shaping techniques: torque sharing function (TSF) and radial force shaping (RFS).

[1]  Wellington A. Silva,et al.  Robust Control Based on Generalized Predictive Control Applied to Switched Reluctance Motor Current Loop , 2014 .

[2]  Matthias Preindl,et al.  Robust Control Invariant Sets and Lyapunov-Based MPC for IPM Synchronous Motor Drives , 2016, IEEE Transactions on Industrial Electronics.

[3]  Liyan Qu,et al.  Design considerations of switched reluctance machines for structural vibration reduction , 2017, 2017 IEEE Transportation Electrification Conference and Expo (ITEC).

[4]  Srdjan M. Lukic,et al.  State-Switching Control Technique for Switched Reluctance Motor Drives: Theory and Implementation , 2010, IEEE Transactions on Industrial Electronics.

[5]  Patricio Cortes,et al.  Predictive Control of Power Converters and Electrical Drives: Rodriguez/Predictive Control of Power Converters and Electrical Drives , 2012 .

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

[7]  Erik Schaltz,et al.  Switching Frequency Reduction Using Model Predictive Direct Current Control for High-Power Voltage Source Inverters , 2011, IEEE Transactions on Industrial Electronics.

[8]  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.

[9]  G. Narayanan,et al.  Linearized Modeling of Switched Reluctance Motor for Closed-Loop Current Control , 2016, IEEE Transactions on Industry Applications.

[10]  Akira Chiba,et al.  Comparison of current waveforms for noise reduction in switched reluctance motors , 2017, 2017 IEEE Energy Conversion Congress and Exposition (ECCE).

[11]  S. Bolognani,et al.  Comparison of direct and PWM model predictive control for power electronic and drive systems , 2013, 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[12]  Nobuyuki Matsui,et al.  Control Performance Comparisons among Three Types of Instantaneous Current Profiling Technique for SR Motor , 2014 .

[13]  Ali Emadi,et al.  Three-Phase 24/16 Switched Reluctance Machine for a Hybrid Electric Powertrain , 2017, IEEE Transactions on Transportation Electrification.

[14]  Ali Emadi,et al.  A Fixed-Switching-Frequency Integral Sliding Mode Current Controller for Switched Reluctance Motor Drives , 2015, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[15]  Stefanos N. Manias,et al.  Sliding mode PWM for effective current control in Switched Reluctance Machine drives , 2014, 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA).

[16]  Matthias Preindl,et al.  Novel Model Predictive Control of a PM Synchronous Motor Drive; Design of the Innovative Structure, Feasibility and Stability Analysis, Efficient Implementation, Experimental Validation , 2014 .

[17]  Ali Emadi,et al.  Radial Force Shaping for Acoustic Noise Reduction in Switched Reluctance Machines , 2019, IEEE Transactions on Power Electronics.

[18]  Silverio Bolognani,et al.  Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 1: Maximum Torque Per Ampere Operation , 2013, IEEE Transactions on Industrial Informatics.

[19]  G. Narayanan,et al.  Predictive Control Based Constant Current Injection Scheme for Characterization of Switched Reluctance Machine , 2018, IEEE Transactions on Industry Applications.

[20]  Hao Chen,et al.  Improved current control scheme with online current distribution and DFA regulation for switched reluctance generator , 2018 .

[21]  Ali Emadi.  Switched Reluctance Motor Drives , 2004 .

[22]  N. Chayopitak,et al.  Simple predictive delta-modulation current regulator for switched reluctance motor drive , 2008, 2008 International Conference on Electrical Machines and Systems.

[23]  Barry W. Williams,et al.  High-performance current control for switched reluctance motors based on on-line estimated parameters , 2010 .

[24]  Samir Kouro,et al.  Model Predictive Control: MPC's Role in the Evolution of Power Electronics , 2015, IEEE Industrial Electronics Magazine.

[25]  Ali Emadi,et al.  An Offline Torque Sharing Function for Torque Ripple Reduction in Switched Reluctance Motor Drives , 2015, IEEE Transactions on Energy Conversion.