Adaptive Flux model for commissioning of signal injection based zero speed sensorless flux control of induction machines

Speed sensorless control of AC machines at zero speed so far is only possible using signal injection methods. Especially when applied to induction machines spatial saturation leads to a heavy dependence of the control signals on the flux/load level. This dependence has to be identified on a special test stand during a commissioning procedure. To avoid the usage of a speed sensor as well as load dynamometer coupled during the commissioning an adaptive flux model is proposed that delivers an accurate reference flux angle. After the commissioning this adaptive flux model is used in combination with the signal injection method to deliver the spatial flux position.

[1]  Mark Sumner,et al.  Encoderless position estimation for symmetric cage induction machines under loaded conditions , 2001 .

[2]  T. M. Wolbank.  Analysis of a simple feed back method in field-oriented control of an induction motor without speed and position sensor , 1996, Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics, Control, and Instrumentation.

[3]  Jung-Ik Ha,et al.  Physical understanding of high frequency injection method to sensorless drives of an induction machine , 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]  T.G. Habetler,et al.  Comparison of Neural Network Types and Learning Methods for Self Commissioning of Speed Sensorless Controlled Induction Machines , 2007, 2007 IEEE Power Electronics Specialists Conference.

[5]  G.M. Asher,et al.  Encoderless Operation of Induction Motor using a MRAS Observer with Zero Drift Feedback Integrator , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[6]  Robert D. Lorenz,et al.  Measuring, modeling and decoupling of saturation-induced saliencies in carrier signal injection-based sensorless AC drives , 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).

[7]  Robert D. Lorenz,et al.  Using multiple saliencies for the estimation of flux, position, and velocity in AC machines , 1997 .

[9]  Th.M. Wolbank,et al.  Combination of signal injection and neural networks for sensorless control of inverter fed induction machines , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[10]  Jon Clare,et al.  Sensorless vector control at low and zero frequency considering zero-sequence current in delta connected cage induction motors , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

[11]  T.M. Wolbank,et al.  Sensorless control of induction machines by combining fundamental wave models with transient excitation technique , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[12]  Joachim Holtz,et al.  Elimination of saturation effects in sensorless position controlled induction motors , 2002 .

[13]  M. Schroedl,et al.  Sensorless control of AC machines at low speed and standstill based on the "INFORM" method , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[14]  T.M. Wolbank,et al.  Influence of inverter-nonlinearity and measurement setup on zero speed sensorless control of AC machines based on voltage pulse injection , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..

[15]  Joachim Holtz,et al.  Drift and parameter compensated flux estimator for persistent zero stator frequency operation of sensorless controlled induction motors , 2002 .

[16]  P. Garcia,et al.  Saliency tracking-based, sensorless control of AC machines using structured neural networks , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..