Title :
Parameter identification of induction motors. 2. Parameter subset identification
Author :
Pappano, V. ; Lyshevski, S.E. ; Friedland, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
The model-based identification concept is applied to the problem of subset parameter identification and identification of repeated parameters in induction motors. The aim of the investigation is a simplification of the identifier dynamics with a reduction of the computational burden. The feasibility of real-time applications of the methodology is also investigated
Keywords :
Lyapunov methods; dynamics; induction motors; machine theory; matrix algebra; parameter estimation; Lyapunov method; dynamics; identification; induction motors; matrix algebra; model-based method; subset parameter estimation; Calculus; Control systems; Electromechanical systems; Energy conversion; Induction motors; Lyapunov method; Mathematical model; Motion control; Parameter estimation; Power system reliability;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.728493
