Methods of Resistance Estimation in Permanent Magnet Synchronous Motors for Real-Time Thermal Management

Real-time thermal management of electrical machines relies on sufficiently accurate indicators of internal temperature. One indicator of temperature in a permanent-magnet synchronous motor (PMSM) is the stator winding resistance. Detection of PMSM winding resistance in the literature has been made on machines with relatively high resistances, where the resistive voltage vector is significant under load. This paper describes two techniques, which can be applied to detect the winding resistance, through “angle” and “magnitude” current injection. Two further methods are described, which discriminate injected current and voltages from motoring currents and voltages: “unipolar” and “bipolar” separation. These enable the resistance to be determined, and hence the winding temperature in permanent-magnet machines. These methods can be applied under load, and in a manner that does not disturb motor torque or speed. The method distinguishes between changes in the electromotive force constant and the resistive voltage. This paper introduces the techniques, while a companion paper covers the application of one of the methods to a PMSM drive system.

[1]  J.H. Lang,et al.  Monitoring the thermal condition of permanent-magnet synchronous motors , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[2]  Thomas G. Habetler,et al.  An integrated, on-line, motor protection system , 1994 .

[3]  Tong Liu,et al.  Neural network-based model reference adaptive systems for high performance motor drives and motion controls , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[4]  Jiabin Wang,et al.  Analysis of three-phase surface-mounted magnet modular permanent magnet machines , 2004 .

[5]  S. D. Stearns,et al.  Digital Signal Analysis , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  Bimal K. Bose,et al.  Quasi-fuzzy estimation of stator resistance of induction motor , 1998 .

[7]  D. Howe,et al.  Analytical Prediction of Dynamic Performance Characteristics of Brushless DC Drives , 1992 .

[8]  Mark Sumner,et al.  An improved sensorless vector controlled induction motor drive employing artificial neural networks for stator resistance estimation , 2000 .

[9]  A. H. Bonnett Root cause AC motor failure analysis , 1999, Industry Applications Society 46th Annual Petroleum and Chemical Technical Conference (Cat.No. 99CH37000).

[10]  R. J. Kerkman,et al.  A new flux and stator resistance identifier for AC drive systems , 1995 .

[11]  T.G. Habetler,et al.  An on-line stator winding resistance estimation technique for temperature monitoring of line-connected induction machines , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[12]  R. Kerkman,et al.  A new flux and stator resistance identifier for AC drive systems , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[13]  Cursino B. Jacobina,et al.  On-line estimation of the stator resistance of induction machines based on zero-sequence model , 2000 .

[14]  Loganathan Umanand,et al.  Online estimation of stator resistance of an induction motor for speed control applications , 1995 .

[15]  A. H. Bonnett,et al.  Root cause AC motor failure analysis with a focus on shaft failures , 2000 .

[16]  R.G. Harley,et al.  Online stator resistance estimation for thermal monitoring of converter fed induction motors using pseudorandom modified PWM , 2004, Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting..

[17]  V Kadirkamanathan,et al.  Dynamic model tracking design for low inertia, high speed permanent magnet ac motors. , 2004, ISA transactions.

[18]  R. Gleichman,et al.  Failure modes and field testing of medium voltage motor windings , 2001, Conference Record of 2001 Annual Pulp and Paper Industry Technical Conference (Cat. No.01CH37209).

[19]  Thomas G. Habetler,et al.  An integrated, on-line, motor protection system , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.

[20]  Veran V. Vasic,et al.  A stator resistance estimation scheme for speed sensorless rotor flux oriented induction motor drives , 2003 .

[21]  F. Meibody-Tabar,et al.  Mechanical sensorless control of PMSM with on-line estimation of stator resistance , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).