TY  - JOUR
T1  - Adaptive Vector Control of Induction Motor Drives
AU - , N. Kalaiarasi AU - , K.S.R. Anjaneyulu 
JO  - International Journal of Electrical and Power Engineering
VL  - 1
IS  - 2
SP  - 239
EP  - 245
PY  - 2007
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2007.239.245
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2007.239.245
KW  - Fuzzy logic
KW  -induction motor drive
KW  -model reference adaptive control
AB  - This study deals with the design and simulation of hybrid control systems combining conventional control  techniques  with  fuzzy  logic  and  Model Reference Adaptive Control (MRAC) system for Indirect Field-Oriented (IFO) induction motor drives. A performance comparison between the new controller and a conventional control scheme is carried out by extensive simulation confirming the superiority of proposed MRAC.While conventional control allows different design objectives such as steady state and transient characteristics of the closed loop system to be specified, fuzzy logic is integrated to overcome the problems with uncertainties in the plant parameters. Induction motors are characterized by complex, highly non-linear and time varying dynamics and inaccessibility of some states and outputs for measurements. The advent of vector control techniques has partially solved induction motor control problems, because they are sensitive to drive parameters variations such as the rotor time constant and an incorrect flux measurement or estimation at low speeds and performance may deteriorate if conventional controllers are used. Fuzzy logic based controller and model reference adaptive controller deal such variations more effectively.
ER  -