Title :
A continuous-time observer to estimate electrical parameters of induction machines
Author :
Chung, Jennifer ; Dolen, Melik ; Kim, Hyunbae ; Lorenz, Robert D.
Author_Institution :
Embedded Control Syst. Group, Analog Devices Inc., Wilmington, MA, USA
Abstract :
This paper introduces a new observer topology to estimate the electrical parameters of induction machines. The observer utilizes classical least mean squares principle of adaptive control and filtering theory. O-line parameter estimation techniques generally require the use of a special test setup or occasionally make unrealistic assumptions such as the availability of the entire state vector measurements. The significance of the proposed observer is its independence of special equipment/drives and its ability to estimate major IM parameters, together with unobservable machine states like rotor flux linkages.
Keywords :
adaptive control; asynchronous machines; continuous time systems; control system analysis; least mean squares methods; machine control; machine theory; observers; parameter estimation; rotors; adaptive control; continuous-time observer; control simulation; electrical parameters estimation; filtering theory; induction machines; least mean squares; rotor flux linkages; state vector measurements; unobservable machine states; Adaptive control; Control systems; Curve fitting; Filtering theory; Induction machines; Least squares methods; Observers; Parameter estimation; Testing; Topology;
Conference_Titel :
Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-7114-3
DOI :
10.1109/IAS.2001.955420