Abstract
The new algorithm, which provides an exponential identification of active resistances of stator and rotor of induction motor and based on information about stator current, voltage and rotor angular velocity, was synthesized using the Lyapunov’s second method. Local asymptoticity of active resistance identification under persistance of excitation conditions was theoretically proved. Additionally, the synthesized algorithm of identification is an observer of the rotor flux linkage, adaptive to changes of stator and rotor resistances. The simulation results and experimental tests confirm the efficiency of the proposed identification algorithm. References 5, figures 11.
References
Popovich N.G., Peresada S.M. Algorithm for identification of active resistance to the properties of exponential convergence // Vestnіk Natsionalnogo tekhnicheskogo universiteta „KhPI”. – 1996. – Pp. 95–98. (Rus)
Marino R., Peresada S. and Tomei P. Global adaptive output feedback control of induction motors with uncertain rotor resistance // IEEE Trans. on Automatic 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 Sys Tech. – 2000. – Vol. 8. – No.3. – Pp. 570–578.
Marino R. and Tomei P. Nonlinear Control Design–Geometric, Adaptive and Robust. – Englewood Cliffs, NJ: Prentice-Hall. – 1995. – 400 p.
Seok Ho Jeon, Kwang Kyo Oh and Jin Young Choi. Flux Observer With Online Tuning of Stator and Rotor Resistances for Induction Motors // IEEE Trans. on Industrial Electronics. – June 2002. – Vol. 49. – No.3. – Pp. 653–664.
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