An on-line rotor resistance estimator for induction machine drives

Rotor resistance variation due to changing rotor temperature is a significant issue in the design of induction motor controls. In this work, a new on-line rotor resistance estimator is proposed based on an alternate qd induction machine model which simultaneously includes stator leakage saturation, rotor leakage saturation, magnetizing path saturation, and distributed circuit effects in the rotor conductors. Computer simulation studies demonstrate the ability of the estimator to accurately track rotor resistance variation. Experimental studies demonstrate that an adaptive maximum torque per amp control which utilizes the proposed estimator significantly outperforms a maximum torque per amp control without rotor resistance adaptation

[1]  Jaime Rodriguez Arribas,et al.  Optimal Regulation of Electric Drives With Constant Load Torque , 2006, IEEE Transactions on Industrial Electronics.

[2]  Demba Diallo,et al.  A Fuzzy Rotor Resistance Updating Scheme for an IFOC Induction Motor Drive , 2001 .

[3]  A. Draou,et al.  Variable gain PI controller design for speed control and rotor resistance estimation of an indirect vector controlled induction machine drive , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[4]  B. Karanayil,et al.  Implementation of an on-line resistance estimation using artificial neural networks for vector controlled induction motor drive , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

[5]  Chunki Kwon,et al.  An Adaptive Maximum Torque Per Amp Control Strategy , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[6]  C. Kwon,et al.  An improved maximum torque per amp control strategy for induction machine drives , 2005, Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005..

[7]  Chunki Kwon,et al.  A genetic algorithm based induction machine characterization procedure , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[8]  Scott D. Sudhoff,et al.  Experimental characterization procedure for use with an advanced induction machine model , 2002 .

[9]  Russel J. Kerkman.  Steady-State and Transient Analyses of an Induction Machine with Saturation of the Magnetizing Branch , 1985, IEEE Transactions on Industry Applications.

[10]  M.A. Ouhrouche.  Vector control of an induction motor with on-line rotor resistance identification , 1999, Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411).

[11]  Pierluigi Pisu,et al.  Simplified exponentially convergent rotor resistance estimation for induction motors , 2003, IEEE Trans. Autom. Control..

[12]  K. Yazid,et al.  An effective identification of rotor resistance for induction motor vector control , 1997, IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings.

[13]  S. Halasz,et al.  Rotor time constant on-line identification for field oriented AC drive , 1995, 1995 Proceedings of the IEEE International Symposium on Industrial Electronics.

[14]  R. Lorenz,et al.  A physically insightful approach to the design and accuracy assessment of flux observers for field oriented induction machine drives , 1992 .

[15]  R. Beguenane,et al.  Induction motors thermal monitoring by means of rotor resistance identification , 1997, 1997 IEEE International Electric Machines and Drives Conference Record.

[16]  S. Sanders,et al.  Models for induction machines with magnetic saturation of the main flux path , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[17]  Thomas A. Lipo,et al.  Modeling and Simulation of Induction Motors with Saturable Leakage Reactances , 1984, IEEE Transactions on Industry Applications.

[18]  J. Langheim,et al.  Modelling of rotorbars with skin effect for dynamic simulation of induction machines , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[19]  Scott D. Sudhoff,et al.  Analysis of Electric Machinery and Drive Systems , 1995 .

[20]  Seung-Ki Sul,et al.  Novel rotor-flux observer using observer characteristic function in complex vector space for field-oriented induction motor drives , 2002 .

[21]  C. Kwon,et al.  Genetic algorithm-based induction machine characterization procedure with application to maximum torque per amp control , 2006, IEEE Transactions on Energy Conversion.

[22]  S. Williamson,et al.  A transient induction motor model including saturation and deep bar effect , 1996 .

[23]  Ali Keyhani,et al.  Nonlinear neural-network modeling of an induction machine , 1999, IEEE Trans. Control. Syst. Technol..

[24]  Longya Xu,et al.  An MRAS scheme for on-line rotor resistance adaptation of an induction machine , 2001, 2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230).

[25]  S. D. Sudhoff,et al.  An Induction Machine Model for Predicting Inverter-Machine Interaction , 2002, IEEE Power Engineering Review.

[26]  Hamid A. Toliyat,et al.  Sensorless control of induction motors with simultaneous on-line estimation of rotor resistance and speed based on the feedforward torque control scheme , 2003, IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03..

[27]  B. Karanayil,et al.  Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive , 2007, IEEE Transactions on Industrial Electronics.

[28]  Ali Keyhani,et al.  Sliding-Mode Flux Observer With Online Rotor Parameter Estimation for Induction Motors , 2007, IEEE Transactions on Industrial Electronics.

[29]  Y. Miloud,et al.  Fuzzy logic based rotor resistance estimator of an indirect vector controlled induction motor drive , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.