The Re-examination of Adjustment of the Rotor Magnetic Field Observer in the Induction Motor

Alexander Burkov; Evgenii Krasilnikyants; Alexander Smirnov; Georgy Bouldukan

doi:10.2478/ecce-2013-0020

The Re-examination of Adjustment of the Rotor Magnetic Field Observer in the Induction Motor

Authors

Alexander Burkov Leading Researcher, Ivanovo Power State University – ISPU
Evgenii Krasilnikyants Leading Researcher, ISPU
Alexander Smirnov Doctoral Student, ISPU
Georgy Bouldukan Engineer, ISPU

DOI:

https://doi.org/10.2478/ecce-2013-0020

Keywords:

Variable speed drives, motor drives, induction motors, optimal control, observers

Abstract

Wide use of induction motor drives makes the problems related to induction motors very topical. One of such problems is the maximal utilization of torque and velocity of induction motors. In this regard the use and accurate adjustment of rotor magnetic flux observers may be helpful. The technique of observer adjustment is subject of special interest. This technique can be regarded as optimal if it ensures constant acceleration that, in turn, corresponds to constant magnitude of active and magnetizing components of stator current. In contrast, nonoptimal tuning of the magnetic flux observer creates a transient response caused by variation of magnetic and active components of the stator current resulting in changing acceleration of the motor. However, the parameters of non-optimal process can be used for fine tuning of the observer which considers the variation of the time constants obtained analyzing the drive's magnetic circuit saturation. It is possible to conclude that implementation of fine adjustment of rotor magnetic flux observer is of critical importance for induction motor torque and velocity maximum utilization.

References

Peter Vas. Vector Control of AC Machines.// Clarendon Press, Oxford, United Kingdom, 1990.

Felix Blaschke. The principle of field orientation as applied to the new transvektor closed-loop control system for rotating-field machines. //Siemens Review, 39(5):217-220, May 1972.

Sakae Yamamura. Spiral Vector Theory of AC Circuits and Machines.// Clarendon Press, Oxford, United Kingdom, 1992.

K. Ide, I. Murokita, M. Sawamura, M. Ohto, Y. Nose, J. I. Ha, and S. K. Sul, “Finite element analysis of sensorless induction machine by high frequency voltage,” in Proc. Int. Power Electronics Conf. (IPEC), Tokyo, Japan, 2000, pp. 1842-1847

G. Yang and T.-H. Chin, “Adaptive-speed identification scheme for a vector-controlled speed sensorless inverter-induction motor drive,” IEEETrans. Ind. Applicat., vol. 29, pp. 820-825, July/Aug. 1993.

H. Hofmann and S. R. Sanders, “Speed-sensorless vector torque control of induction machines using a two-time-scale approach,” IEEE Trans. Ind. Applicat., vol. 34, pp. 169-177, Jan./Feb. 1998.

G. Guidi and H. Umida, “A novel stator resistance estimation method for speed-sensorless induction motor drives,” IEEE Trans. Ind. Applicat., vol. 36, pp. 1619-1627, Nov./Dec. 2000

Gnezdov, N., Kolganov, A. & Lebedev, S. (2010). Application of astatic state observers in electromechanotronic modules. Proceedings of 51st International Scientific Conference of Riga Technical University, Section of Power and Electrical Engineering, pp. 151-154.

Kolganov, A., Lebedev, S. & Kulenko, M. (2013). Load Compensation in Mechatronic System with Observer. Electrical, Control and Communication Engineering, 1(1), pp. 5-45. Retrieved 16 Dec. 2013, from doi:10.2478/v10314-012-0006-z

Burkov, A., Krasilnikyants, E. & Smirnov, A. (2011). The Model of Nonstationary Rotor Magnetic Field Observer in the Induction Motor. Proceedings of 52st International Scientific Conference of Riga Technical University, Section of Power and Electrical Engineering, pp. 137-142.

Vinogradov A.B., Chistoserdov V.L., Sibirtsev A.N. Self-adapting Vector Control System for the induction motor drive // Electrotechnics. 2003. №7.

Identification of Induction Motor Parameters from Transient Stator Current Measurement. Steven R.Shaw, Student Member, IEEE, and Steven B. Leeb, Member, IEEE. Transactions on Industrial Electronics, VOL. 46, NO. 1, February 1999.

Application of Genetic Algorithms to Motor Parameter Determination for Transient Torque Calculations. Pragasen Pillay, Senior Member, IEEE, Ray Nolan, and Towhidul Haque. IEEE Transactions on Industry Applications, VOL. 33, NO. 5, Sept./Oct. 1997

Induction Motor Test (No-Load Test, Blocked Rotor Test): http://www.ece.msstate.edu/~donohoe/ece3414induction_machines_II.pdf

Investigation of induction motor parameter identification using particle swarm optimization-based RBF neural network (PSO-RBFNN). Hassan Farhan Rashag, S.P.Koh, S.K.Tiong, K.H.Chong and Ahmed N. Abdalla. Intarnational Journal of the Physical Sciences Vol. 6 (19), pp.4564-4570, September 2011.

Researches of the Feeding Electric Motor Drive for NC Machines / Burkov A.P., Krasilnikyants E. V., Smirnov A.A., Salahutdinov N.V. // ISPU Mercury - 2011.-№2, P - 71-77.

J. M. Eguilaz, et al., “Induction motor optimum flux search algorithms with transient state loss minimization using fuzzy logic based supervisor, ” IEEE Conf. Proc. 1997, pp. 1302-1308.

K. Sundareswaran, S. Palani, “Fuzzy logic approach for energy efficient voltage controlled induction motor drive, ” IEEE Power Electronics and Drives Conf. Proc. PEDS 1999, pp. 552-554.

G. C. D. Sousa, B. K. Bose, J. G. Cleland, “Fuzzy logic based on-line efficiency optimization control of an indirect vector controlled

induction motor drive, ” IEEE Trans. Ind. Elec. Vol. 42, No. 2, 1995, pp. 192-198.