Title :
Algorithms for joint state and parameter estimation in induction motor drive systems
Author :
Brdys, M.A. ; Du, T.
Author_Institution :
Brimingham Univ., UK
Abstract :
Concerns the problem of design of algorithms for joint state and parameter estimation of induction motor drive systems. The joint estimation problem is nonlinear and time-varying. A general development is presented for a class of systems covering induction motors. Two extended Luenberger observers for joint estimation are then derived for the induction motor and simulated
Keywords :
electric drives; identification; induction motors; extended Luenberger observers; induction motor drive systems; joint estimation; nonlinear system; parameter estimation; state estimation; time-varying system;
Conference_Titel :
Control 1991. Control '91., International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-509-5
