Estimating rotor parameters in induction motors using high-order sliding mode algorithms

A good estimate of the rotor's parameters is essential in high-performance control of induction motors. It is shown that the structural impediment that prevents applying a usual adaptive observer to estimate these parameters is that the relative degree between the measured output and the unknown parameters is not one. Then, the high-order sliding mode differentiator is used to circumvent this restriction allowing the construction of a usual adaptive observer. Simulation results are presented to illustrate the performance of the proposed observer under ideal conditions and in the presence of measurement noises.

[1]  Francesco Profumo,et al.  Comparison of different schemes without shaft sensors for field oriented control drives , 1994, Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.

[2]  J. Bocker,et al.  State of the Art of Induction Motor Control , 2007, 2007 IEEE International Electric Machines & Drives Conference.

[3]  Jean-Claude Vannier,et al.  An Online Simplified Rotor Resistance Estimator for Induction Motors , 2010, IEEE Transactions on Control Systems Technology.

[4]  Riccardo Marino,et al.  On-line stator and rotor resistance estimation for induction motors , 2000, IEEE Trans. Control. Syst. Technol..

[5]  Riccardo Marino,et al.  Exponentially convergent rotor resistance estimation for induction motors , 1995, IEEE Trans. Ind. Electron..

[6]  Cristiano Maria Verrelli,et al.  Induction Motor Control Design , 2010 .

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

[8]  Thomas A. Lipo,et al.  A Rotor Parameter Identification Scheme for Vector-Controlled Induction Motor Drives , 1985, IEEE Transactions on Industry Applications.

[9]  Riccardo Marino,et al.  Nonlinear control design: geometric, adaptive and robust , 1995 .

[10]  F. R. Salmasi,et al.  An Adaptive Observer With Online Rotor and Stator Resistance Estimation for Induction Motors With One Phase Current Sensor , 2011, IEEE Transactions on Energy Conversion.

[11]  Leonid M. Fridman,et al.  High-order sliding modes observers for linear autonomous-switched systems with unknown inputs , 2012, 2012 12th International Workshop on Variable Structure Systems.

[12]  G. Besancon,et al.  Observer design for state and parameter estimation in induction motors with simulation and experimental validation , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[13]  Gildas Besancon,et al.  Nonlinear observers and applications , 2007 .

[14]  Jaime A. Moreno,et al.  Dissipative design of adaptive observers for systems with multivalued nonlinearities , 2010, 49th IEEE Conference on Decision and Control (CDC).

[15]  A. Benchaib,et al.  Detection of broken bars in induction motors using an extended Kalman filter for rotor resistance sensorless estimation , 2000 .

[16]  Leonid M. Fridman,et al.  High order sliding mode observer for linear systems with unbounded unknown inputs , 2010, Int. J. Control.

[17]  Arie Levant,et al.  Higher-order sliding modes, differentiation and output-feedback control , 2003 .

[18]  Arie Levant,et al.  Homogeneity approach to high-order sliding mode design , 2005, Autom..

[19]  G. Besançon.  Remarks on nonlinear adaptive observer design , 2000 .

[20]  M. I. Castellanos,et al.  Super twisting algorithm-based step-by-step sliding mode observers for nonlinear systems with unknown inputs , 2007, Int. J. Syst. Sci..