Automatic Parameter Identification of Inverter-Fed Induction Motors at Standstill

As a step toward the self-commissioning of the next generation of ac drives, this work deals with an automatic procedure for the identification of the inverse- Γ equivalent circuit of inverter-fed induction motors (IM) at standstill. The algorithm, cut out for the modern microprocessors combines different test signals with the aim of extracting and mapping the magnetic model nonlinearity. As a key feature, the procedure uses the existing inverter as a precise voltage probe to get the complete parameter set usually required by the advanced control of ac drives. The theoretical investigations are supported by experimental results and are reported in the paper. A distinguishing characteristic of the proposed method among the other existing solutions is the accuracy of the results confirmed by the comparison with finite-element analysis tools and tailored to the laboratory IM prototypes.

[1]  Joachim Holtz,et al.  Vector-controlled induction motor drive with a self-commissioning scheme , 1991 .

[2]  Donald W. Novotny,et al.  The Influence of Motor Parameter Deviations in Feedforward Field Orientation Drive Systems , 1985, IEEE Transactions on Industry Applications.

[3]  J. Godbersen.  A stand-still method for estimating the rotor resistance of induction motors , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[4]  Andrea Cavagnino,et al.  Computational Algorithms for Induction-Motor Equivalent Circuit Parameter Determination—Part I: Resistances and Leakage Reactances , 2011, IEEE Transactions on Industrial Electronics.

[5]  Rong-Ching Wu,et al.  Parameter Identification of Induction Machine With a Starting No-Load Low-Voltage Test , 2012, IEEE Transactions on Industrial Electronics.

[6]  K. Matsuse,et al.  Prediction of starting performance of PM motor by DC decay testing method , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[7]  M. Boussak,et al.  Sensorless speed control with MRAS for induction motor drive , 2012, 2012 XXth International Conference on Electrical Machines.

[8]  S Bolognani,et al.  Variable-Speed Induction Machine Performance Computed Using Finite-Element , 2011, IEEE Transactions on Industry Applications.

[9]  M. Zigliotto,et al.  The influence of the squirrel cage rotor in the estimation of the IM flux linkage at standstill , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[10]  J. Doval-Gandoy,et al.  Parameter Identification of Multiphase Induction Machines With Distributed Windings—Part 1: Sinusoidal Excitation Methods , 2012, IEEE Transactions on Energy Conversion.

[11]  S. Williamson,et al.  Calculation of the bar resistance and leakage reactance of cage rotors with closed slots , 1985 .

[12]  R. J. Kerkman,et al.  A frequency based determination of the transient inductance and rotor resistance for field commissioning purposes , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[13]  Young Ahn Kwon,et al.  State observer with parameter estimation for sensorless induction motor , 2011, SICE Annual Conference 2011.

[14]  Guillermo O. Garcia,et al.  Automatic induction machine parameters measurement using standstill frequency-domain tests , 2007 .

[15]  J. Doval-Gandoy,et al.  Parameter Identification of Multiphase Induction Machines With Distributed Windings—Part 2: Time-Domain Techniques , 2012, IEEE Transactions on Energy Conversion.

[16]  A. Keyhani,et al.  Identification of Variable Frequency Induction Motor Models from Operating Data , 2002, IEEE Power Engineering Review.

[17]  M. Arkan,et al.  Closed rotor slot effect on negative sequence impedance [in induction motors] , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[18]  Giuseppe Buja,et al.  Self-commissioning of RFO IM drives: one-test identification of the magnetization characteristic of the motor , 2001 .

[19]  Mauro Zigliotto,et al.  Automatic procedure for induction motor parameter estimation at standstill , 2012 .

[20]  Braz de Jesus Cardoso Filho,et al.  Load Torque Signature Analysis: An alternative to MCSA to detect faults in motor driven loads , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[21]  Alan V. Oppenheim,et al.  Discrete-time Signal Processing. Vol.2 , 2001 .

[22]  Haitham Abu-Rub,et al.  Speed Sensorless Induction Motor Drive With Predictive Current Controller , 2013, IEEE Transactions on Industrial Electronics.

[23]  A. Boglietti,et al.  Computational Algorithms for Induction Motor Equivalent Circuit Parameter Determination—Part II: Skin Effect and Magnetizing Characteristics , 2011, IEEE Transactions on Industrial Electronics.