DocumentCode :
1441864
Title :
Induction motor drive parameters identification
Author :
Attaianese, Ciro ; Damiano, Alfonso ; Gatto, Gianluca ; Marongiu, Ignazio ; Perfetto, Aldo
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Volume :
13
Issue :
6
fYear :
1998
fDate :
11/1/1998 12:00:00 AM
Firstpage :
1112
Lastpage :
1122
Abstract :
Two online identifiers of the rotor parameters of the field-oriented (FO) induction motor drive are presented in this paper, The synthesis procedure of the identifiers is based on the model reference adaptive control (MRAC) system theory. An appropriate choice of the reference model allows building a Lyapunov function by means of which the updating law of the rotor time constant can be found. A higher order identifier is also synthesized using hyperstability approach. It allows the simultaneous identification of two rotor parameters. The parameters´ convergence is assured thanks to the persistent exciting propriety of the input vector of the identifier, represented by the stator current. Experimental results conducted on an FO-controlled drive, using a digital signal processor (DSP)-based system (TMS320C31), having 40-MHz clock frequency, show the convergent trajectories of the parameters and of the state errors under various significant steady state and transient operating conditions and for different values of the adaption gains. The results show the satisfactory behavior of the proposed identification algorithms
Keywords :
Lyapunov methods; control system analysis; control system synthesis; induction motor drives; machine theory; machine vector control; model reference adaptive control systems; parameter estimation; rotors; stators; 40 MHz; Lyapunov function; MRAC; adaption gains; control design; control simulation; convergent trajectories; field-oriented control; hyperstability approach; induction motor drive; model reference adaptive control; online parameters identification; operating conditions; rotor time constant; stator current; updating law; Adaptive control; Control system synthesis; Convergence; Digital signal processors; Induction motor drives; Lyapunov method; Parameter estimation; Rotors; Signal synthesis; Stators;
fLanguage :
English
Journal_Title :
Power Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8993
Type :
jour
DOI :
10.1109/63.728338
Filename :
728338
Link To Document :
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