DocumentCode :
839552
Title :
Efficiency Optimizing Control of Induction Motor Using Natural Variables
Author :
Dong, Gan ; Ojo, Olorunfemi
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN
Volume :
53
Issue :
6
fYear :
2006
Firstpage :
1791
Lastpage :
1798
Abstract :
This paper presents a new approach of optimizing the efficiency of induction-motor drives through minimizing the copper and core losses. The induction-machine model, which accounts for the varying core-loss resistance and saturation dependent magnetizing inductance, uses natural and reference frame independent quantities as state variables. Utilization of the nonlinear geometric control methodology of input-output linearization with decoupling permits the implementation of the control in the stationary reference frame. This approach eliminates the need of synchronous reference transformation and flux alignment required in classical vector control schemes. The new efficiency optimizing formulation yields a reference rotor flux, which ensures a minimum loss and yields an improved efficiency of the drive system especially when driving part load. The proposed scheme and its advantages are demonstrated both by computer simulations and some experimental results for motor speed control
Keywords :
angular velocity control; induction motor drives; losses; machine control; nonlinear control systems; computer simulation; efficiency optimization; induction motor drives; loss minimization; magnetizing inductance; nonlinear geometric control; rotor flux; speed control; stationary reference frame; Copper; Core loss; Inductance; Induction motors; Machine vector control; Magnetic cores; Magnetic flux; Magnetic variables control; Rotors; Saturation magnetization; Butterworth filter; efficiency optimization; induction motor; linearizing control; speed control;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2006.885117
Filename :
4016377
Link To Document :
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