Wind Driven Induction Generator Regulation Using Ant system Approach to Takagi Sugeno Fuzzy PID Control

This study introduces new tuning technique for the PID control scheme and its application to regulate the voltage magnitude and the frequency of wind energy conversion system (WECS). The developed technique is stem from blending the ant system optimization method with Takagi Sugeno (T-S) fuzzy system approach. The optimum relationship between the PID controller gains and the parameters of T-S fuzzy modules is explored using Ant system algorithm. A steady-state analysis for self excited slip ring induction generator is performed. The calculated and the experimental results on 1.1 KW laboratory machine enables the control characteristics to be deduced. Different simulation examples are provided to illustrate the effectiveness of the proposed technique. Finally, the response of a closed loop control scheme for WECS using chopper controlled external rotor resistance and fixed capacitor with thyristor controlled reactor shows that the proposed control approach exhibits a superior performance to that of established traditional control methods. Key-Words: T-S fuzzy control, PID control, Ant system optimization, WECS