DocumentCode
3102572
Title
Adaptive Estimation of Speed and Rotor Time Constant for the Vector Controlled Induction Motor Drive Using Reactive Power
Author
Maiti, Suman ; Chakraborty, Chandan ; SenGupta, Sabyasachi
Author_Institution
Indian Inst. of Technol., Kharagpur
fYear
2007
fDate
5-8 Nov. 2007
Firstpage
286
Lastpage
291
Abstract
Model reference adaptive system (MRAS) -based techniques for the estimation of speed and rotor time constant for induction motor drive are presented in this paper. The proposed methods use both the instantaneous and steady state reactive power to formulate the error signal. The use of instantaneous reactive power (IRP) in the reference model makes it completely free from the machine parameters. On the other hand, the choice of steady state reactive power (SRP) in the adjustable model eliminates derivative terms from the same. Therefore, the accuracy in the estimated quantity is improved. It is important to mention that the flux estimation is not required in any step of the computation. Moreover, the system is independent of stator resistance variation, as the reactive power is considered in the MRAS. The stability of the proposed MRAS is achieved by applying Popov´s hyperstability criterion along with proper manipulation of different error signals. Simulation results and the corresponding experimental results have been presented to validate the method.
Keywords
adaptive estimation; induction motor drives; machine vector control; model reference adaptive control systems; stability; stability criteria; Popov hyperstability criterion; adaptive estimation; flux estimation; instantaneous reactive power; model reference adaptive system; steady state reactive power; vector controlled induction motor drive; Adaptive estimation; Adaptive systems; Induction motor drives; Power system modeling; Reactive power; Reactive power control; Rotors; Stability criteria; Stators; Steady-state; Indirect Vector Control; Induction Motor; MRAS; Reactive Power;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Conference_Location
Taipei
ISSN
1553-572X
Print_ISBN
1-4244-0783-4
Type
conf
DOI
10.1109/IECON.2007.4460396
Filename
4460396
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