Abstract
This paper deals with the vector control, including both the direct vector control (DVC) and the indirect vector control (IdVC), of induction motors. It is well known that the estimation of rotor flux plays a fundamental role in the DVC and the estimation of rotor resistance is vital in the slip compensation of the IdVC. In these estimations, the precision is significantly affected by the motor resistances. Therefore, online estimation of motor resistances is indispensable in practice.
For a fast estimation of motor resistances, it is necessary to slow down the convergence rate of the current estimate. On the other hand, for a fast estimation of the rotor flux, it is necessary to speed up its convergence rate. It is very difficult to realize such a trade-off in convergence rates in a full order observer.
In this paper, we propose to decouple the current observer from the flux observer so as to realize independent convergence rates. Then, the resistance estimation algorithm is applied to both DVC and IdVC. In particular, in the application to IdVC the flux observer needs not be used, which leads to a simpler structure. Meanwhile, independent convergence rates of current observer and flux observer yield an improved performance. A superior performance in the torque and flux responses in both cases is verified by numerous simulations.
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References
B. K. Bose. Modern Power Electronics and AC Drivers. Upper Saddle River: Prentice Hall, 2001.
G. C. Verghese, S. R. Sanders. Observers for flux estimation in induction machines. IEEE Transactions on Industrial Electronics, 1988, 35(1): 85–94.
P. L. Jansen, R. D. Lorenz. A physically insightful approach to the design and accuracy assessment of flux observers for field oriented induction machine drives. IEEE Transactions on Industry Applications, 1994, 30(1): 101–110.
H. Sugimoto, S. Tamai. Secondary resistance identification of an induction-motor appplied model reference adaptive system and its characteristics. IEEE Transactions on Industry Applications, 1987, 23(2): 296–303.
I. J. Ha, S. H. Lee. An online identification method for both stator and rotor resistances of induction motors without rotational transducers. IEEE Transactions on Industrial Electronics, 2000, 47(4): 842–853.
C. C. Chan. An effective method for rotor resistance identification for high-performance induction motor vector control. IEEE Transactions on Industrial Electronics, 1990, 37(6): 477–482.
H. Kubota, K. Matsuse. Adaptive flux observer of induction motor and its stability. Transactions of the Institute of Electrical Engineers Japan–Part D, 1991, 111(3): 188–194 (in Japanese).
S. H. Jeon, K. K. Oh, J. Y. Choi. Flux observers with online tunning of stator and rotor resistances for induction motors. IEEE Transactions on Industry Applications, 2002, 49(3): 653–664.
M. Hinkkanen, L. Harnefors, J. Luomi. Reduced-order flux observers with stator-resistance adaptation for speed-sensorless induction motor drives. IEEE Transactions on Power Electronics, 2010, 25(5): 1173–1183.
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Kang-Zhi LIU is a professor at the Departmentof Electrical and Electronic Engineering,Chiba University. He graduated from Northwestern Polytechnical University, China in 1984 and received his Ph.D. degree from Chiba University in 1991.He has authored and co-authored fivebooks. His recent research interests include system integration of smart-grid, powersystems, nonlinear control and robust control theories.
Masashi YOKOO graduated from the Department of Electrical and Electronic Engineering, Chiba University in 2013, and is now a master course student at the department. His research interest is the control of motor drives.
Keiichiro KONDO is a professor at the Department of Electrical and Electronic Engineering,Chiba University. He received B.Sc. and Ph.D. degrees from the Faculty of Electrical Engineering, Waseda University in 1991 and 2000, respectively. His research interests are power electronics, AC motor drive, energy storage system, wireless power transmission and their applications to the railway vehicle traction.
Tadanao ZANMA is an associate professor at the Department of Electrical and Electronic Engineering, Chiba University. He received the B.Sc., M.Sc. and Ph.D. degrees from Nagoya University in 1995, 1997 and 2000, respectively. His research interests include hybrid dynamical systems, especially,system control based on mixed logical dynamical systems and model predictive control.
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Liu, KZ., Yokoo, M., Kondo, K. et al. New adaptive vector control methods for induction motors with simpler structure and better performance. Control Theory Technol. 13, 173–183 (2015). https://doi.org/10.1007/s11768-015-4153-z
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DOI: https://doi.org/10.1007/s11768-015-4153-z