Accurate measurement and verification of static magnetization characteristics for switched reluctance motors

Accurate magnetization characteristics are essential for performance analysis and advanced control of switched reluctance motor (SRM). However, it is complicated to accurately model SRM due to its doubly salient structure, deep magnetic saturation, and highly nonlinear magnetization characteristics. This paper presents an accurate method to measure the flux-linkage and static torque characteristics of SRM. The measurements are executed based on a digital signal processor (DSP) and LabVIEW data acquisition system (DAQ). Theoretical derivation and practical implementation of the proposed method are discussed in details. The measurement errors are analyzed and post-processed to reduce them. The accuracy of measurement is verified by three ways: finite element analysis (FEA), inductance-capacitance-resistance (LCR) meter, and comparison with results obtained based on an installed search coil on stator poles. Finally, the measured static characteristics are used in modeling of the tested 8/6 SRM using MATLAB/Simulink. A comparison between simulated and experimental measured current waveforms is achieved and good agreement is found which demonstrates the measurement accuracy. It also verifies the accuracy and dependability of built MATLAB simulation model.

[1]  Man Zhang,et al.  A New Fast Method for Obtaining Flux-Linkage Characteristics of SRM , 2015, IEEE Transactions on Industrial Electronics.

[2]  Lusheng Wang,et al.  Accurate Measurement and Detailed Evaluation of Static Electromagnetic Characteristics of Switched Reluctance Machines , 2015, IEEE Transactions on Instrumentation and Measurement.

[3]  Kaiyuan Lu,et al.  Investigation of Flux-Linkage Profile Measurement Methods for Switched-Reluctance Motors and Permanent-Magnet Motors , 2009, IEEE Transactions on Instrumentation and Measurement.

[4]  Akira Chiba,et al.  Comparison of the Test Result and 3D-FEM Analysis at the Knee Point of a 60 kW SRM for a HEV , 2013, IEEE Transactions on Magnetics.

[5]  R. Rabinovici,et al.  Inductance measurements in switched reluctance machines , 2005, IEEE Transactions on Magnetics.

[6]  Peng Zhang,et al.  An Accurate Inductance Profile Measurement Technique for Switched Reluctance Machines , 2010, IEEE Transactions on Industrial Electronics.

[7]  A.V. Radun,et al.  A new method to measure the switched reluctance motor's flux , 2006, Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005..

[8]  Adrian David Cheok,et al.  DSP-Based Automated Error-Reducing Flux-Linkage-Measurement Method for Switched Reluctance Motors , 2007, IEEE Transactions on Instrumentation and Measurement.

[9]  R. McCann,et al.  Investigation of direct flux measurements in switched reluctance motors , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[10]  A. Davoudi,et al.  High-Fidelity Magnetic Characterization and Analytical Model Development for Switched Reluctance Machines , 2013, IEEE Transactions on Magnetics.

[11]  Alessandro Ferrero,et al.  An indirect test method for the characterization of variable reluctance motors , 1993 .

[12]  Lei Shen,et al.  Fast Flux Linkage Measurement for Switched Reluctance Motors Excluding Rotor Clamping Devices and Position Sensors , 2013, IEEE Transactions on Instrumentation and Measurement.

[13]  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).

[14]  Weifeng Sun,et al.  Accurate model of switched reluctance motor based on indirect measurement method and least square support vector machine , 2016 .

[15]  E. Tremps,et al.  Torque Control of Switched Reluctance Motors , 2012, IEEE Transactions on Magnetics.