Abstract
This paper develops and experimentally substantiates a new algorithm to identify unknown parameters of induction motors during self-commissioning procedure. To guarantee asymptotic identification, we design an adaptive stator current controller using a stator flux observer. Allowed current references guarantee global exponential identification of three induction motor parameters as well as estimation of stator fluxes in both motionless and rotating motor operations. Overestimation of the stator fluxes is introduced to achieve global stability of parameters identification and flux estimation. An asymptotic stator current tracking is also ensured. Our experiments demonstrate that the proposed schemes guarantee identification and estimation accuracy with fast asymptotic convergence of errors to zero. The proposed procedure compliments the existing practical control schemes, and, consistent with vector controls including sensorless algorithms. References 17, figures 4.
References
Atkinson D.J., Acarnley P.P. and Finch J.W. Observers for induction motor state and parameter estimation // IEEE Trans. Ind. Appl. – 1991. – Vol. 27. – No. 6. – Pp. 1119–1127.
Bazanella S. and Reginatto R. Robustness margins for indirect fieldoriented control of induction motors // IEEE Trans. Autom. Control. – 2000. – Vol. 45. – No. 6. – Pp. 1226–1231.
Buja G.S., Menis R. and Valla M.I. MRAS identification of the induction motor parameters in PWM inverter drives at standstill // in Proc. 1995 IEEE IECON 21st Int. Conf. Ind. Electron., Control, and Instrumentation, 6– 10 Nov., Orlando. – 1995. – Vol. 2. – Pp. 1041–1047.
Castaldi P. and Tilli A. Parameter estimation of induction motor at standstill with magnetic flux monitoring // IEEE Trans. Control Syst. Technol. – 2005. – Vol. 13. – No. 3. – Pp. 386–400.
Holtz J., Quan J. Sensorless Vector Control of Induction Motors at Very Low Speed Using a Nonlinear Inverter Model and Parameter Identification // IEEE Trans. Ind. Appl. – 2002. – Vol. 38. – No. 4. – Pp. 1087–1095.
IEEE Guide “Test Procedure for Polyphase Induction Motors and Generators” IEEE Std 112, 2004.
Jadot F., Malrait F., Moreno-Valenzuela J. and Sepulchre R. Adaptive Regulation of Vector-Controlled Induction Motors // IEEE Trans. Control Syst. Technol. – 2009. – Vol. 17. – No. 3. – Pp. 646–657.
Khambadkone A.M. and Holtz J. Vector-Controlled Induction Motor Drive with a Self-Commissioning Scheme // IEEE Trans. Ind. Electron. –1991. –Vol. 38. – No. 5. – Pp. 322–327.
Marino R., Tomei P., Verelli C.M. Induction motor control design. – London: Springer-Verlag, 2010.
Marino R., Peresada S. and Tomei P. Global adaptive output feedback control of induction motors with uncertain rotor resistance // IEEE Trans. Autom. Control. – 1999. – Vol. 44. – No. 5. – Pp. 967–983.
Marino R., Peresada S. and Tomei P. On-line stator and rotor resistance identification in induction motor // IEEE Trans. Control Syst. Technol. – 2000. – Vol. 8. – No. 3. – Pp. 570–579.
Narendra K.S. and Annaswamy A.M. Stable Adaptive Systems. – New Jersey. – Englewood Cliffs: Prentice Hall, 1989.
Peresada S.M., Sereda A.N. A new identification algorithm of induction motor electrical parameters based on adaptive full-order observer // Tekhnichna elektrodynamika. – 2005. – No. 5. – Pp. 32–40. (Rus)
Peresada S., Montanari M., Rossi C., Tilli A. Speed sensorless control of induction motors based on a reduced-order adaptive observer // IEEE Trans. Control Syst. Technol. – 2007. – Vol. 15. – No. 6. – Pp. 1049–1064.
Stephan J., Bodson M., Chiasson J.N. Real-Time Estimation of the Parameters of Induction Motors // IEEE Trans. Ind. Appl. – 1994. – Vol. 30. – No. 3. – Pp. 746–759.
Toliyat H.A., Levi E. and Raina M. A Review of RFO Induction Motor Parameter Estimation Techniques // IEEE Trans. Energy Conv. – 2003. – Vol. 18. – No. 2. – Pp. 271–283.
Wang K., Chiasson J., Bodson M. and Tolbert L.M. A Nonlinear Least-Squares Approach for Identification of the Induction Motor Parameters // IEEE Trans. Autom. Control. – 2005. – Vol. 50. – No. 10. – Pp. 1622–1628.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2023 Array