Authors : N. Kalaiarasi and K.S.R. Anjaneyulu
Abstract: 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.
N. Kalaiarasi and K.S.R. Anjaneyulu , 2007. Adaptive Vector Control of Induction Motor Drives . International Journal of Electrical and Power Engineering, 1: 239-245.