Dynamic Testing Characterization of a Synchronous Reluctance Machine

The dynamic testing method (DTM) has been shown to accurately characterize the electromagnetic model of permanent magnet synchronous machines by describing the relationship between the phase currents and the linked magnetic flux with minimal amount of test equipment as compared with traditional methods. Within this paper, a performance evaluation of the DTM applied to a synchronous reluctance machine is presented. This paper discusses the challenges of a dynamic test of a nonlinear synchronous machine and suggests a fuzzy proportional, derivative and integral controller (PD + I) controller for improved control performance and measurements. Finally, the DTM measurements are compared with the results of the constant speed method (CSM). The CSM measurements of flux linkage and torque curves confirm the validity of the DTM measurements for this machine.

[1]  Maarten J. Kamper,et al.  Current control of reluctance synchronous machines with online adjustment of the controller parameters , 2016, 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE).

[2]  Ralph Kennel,et al.  Dynamic Testing Characterization of a Synchronous Reluctance Machine , 2018 .

[3]  Francisco J. Marquez-Fernandez,et al.  Dynamic testing characterization of a HEV traction motor , 2014, 2014 International Conference on Electrical Machines (ICEM).

[4]  A. Tenconi,et al.  Identification of the magnetic model of permanent magnet synchronous machines using DC-biased low frequency AC signal injection , 2014 .

[5]  M. Trlep,et al.  Evaluation of saturation and cross-magnetization effects in interior permanent magnet synchronous motor , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[6]  Gianmario Pellegrino,et al.  Experimental Identification of the Magnetic Model of Synchronous Machines , 2013, IEEE Transactions on Industry Applications.

[7]  Avo Reinap,et al.  Performance and efficiency evaluation of FPGA controlled IPMSM under dynamic loading , 2011, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives.

[8]  Sascha Kuehl,et al.  Measuring Magnetic Characteristics of Synchronous Machines by Applying Position Estimation Techniques , 2014, IEEE Transactions on Industry Applications.

[9]  S. Ichikawa,et al.  Sensorless Control of Synchronous Reluctance Motors Based on Extended EMF Models Considering Magnetic Saturation With Online Parameter Identification , 2006, IEEE Transactions on Industry Applications.

[10]  Thomas A. Lipo,et al.  On-line dead-time compensation technique for open-loop PWM-VSI drives , 1999 .

[11]  Marko Hinkkanen,et al.  Sensorless Self-Commissioning of Synchronous Reluctance Motors at Standstill Without Rotor Locking , 2017, IEEE Transactions on Industry Applications.

[12]  Pragasen Pillay,et al.  A Sizing Methodology of the Synchronous Reluctance Motor for Traction Applications , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[13]  Alfredo Vagati,et al.  The synchronous reluctance solution: a new alternative in AC drives , 1994, Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.

[14]  Francisco J. Márquez-Fernández,et al.  Dynamic Magnetic Model Identification of Permanent Magnet Synchronous Machines , 2017, IEEE Transactions on Energy Conversion.

[15]  Bernhard Piepenbreier,et al.  Identification of steady-state inductances of PMSM using polynomial representations of the flux surfaces , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[16]  Derrick Holliday,et al.  The nonlinear voltage distortion effect of an extended IGBT turn-off time in sinusoidal PWM VSI applications , 2009, 2009 IEEE International Electric Machines and Drives Conference.

[17]  Ralph Kennel,et al.  Encoderless self-commissioning and identification of synchronous reluctance machines at standstill , 2017, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

[18]  T. Hamiti,et al.  Comparison Between Finite-Element Analysis and Winding Function Theory for Inductances and Torque Calculation of a Synchronous Reluctance Machine , 2007, IEEE Transactions on Magnetics.

[19]  P. Landsmann,et al.  Bivariate polynomial approximation of cross-saturated flux curves in synchronous machine models , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[20]  Thomas M. Jahns,et al.  Magnetic Model Self-Identification for PM Synchronous Machine Drives , 2015, IEEE Transactions on Industry Applications.

[21]  Kyoung Kwan Ahn,et al.  Online tuning fuzzy PID controller using robust extended Kalman filter , 2009 .

[22]  T. Senjyu,et al.  Relationship of parallel model and series model for permanent magnet synchronous motors taking iron loss into account , 2004, IEEE Transactions on Energy Conversion.

[23]  Maarten J. Kamper,et al.  Nonlinear PI current control of reluctance synchronous machines , 2015, ArXiv.

[24]  Jan Jantzen,et al.  Tuning Of Fuzzy PID Controllers , 1998 .

[25]  Sebastian Hall,et al.  A method for in-situ characterization of PMSM traction machines , 2016, 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC).

[26]  Sandro Calligaro,et al.  Stand-Still Self-Identification of Flux Characteristics for Synchronous Reluctance Machines Using Novel Saturation Approximating Function and Multiple Linear Regression , 2016, IEEE Transactions on Industry Applications.

[27]  Silva Hiti,et al.  Identification of machine parameters of a synchronous motor , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[28]  Avo Reinap,et al.  Consistency analysis of torque measurements performed on a PMSM using dynamic testing , 2014, 2014 International Conference on Electrical Machines (ICEM).

[29]  Thomas A. Lipo,et al.  Rotor design optimization of synchronous reluctance machine , 1994 .