A novel adaptive fuzzy controller for performance improvement of direct torque controlled induction generator employed for wind power applications

Control of Induction generator in variable speed wind energy conversion system has gained a lot of interest for power engineers. Field oriented control (FOC) is a well-known scheme for Induction generator control. How-ever its complexity in the inner loop and need of complex axes transformations has shifted the research interest towards Direct Torque control(DTC) which has taken an important place for induction machine control in the present time. In this paper, a Direct torque controlled cage induction generator is described. First the steady state and transient behavior of the Direct Torque controlled cage generator is simulated using conventional PI controller. Then a novel adaptive fuzzy controller is designed and implemented in the direct torque control scheme and the performance of the Direct Torque controlled cage generator is simulated. Finally a comparison is done between the performances of the two types of controllers, namely P-I and adaptive fuzzy controller. It is verified that the proposed adaptive fuzzy controller has improved performances as compared to the conventional PI controllers. The whole scheme is simulated in Matlab.