Genetic Based Auto-design of Fuzzy Controllers for Vector Controlled Induction Motor Drives

This work presents the Genetic algorithm based auto-design of fuzzy logic controller for speed controller of the indirect field oriented controlled induction motor drives, to automate and at the same time to optimize the fuzzy controller design process. To do this, the normalization parameters, membership functions and decision table are converted into binary bit string. This optimization requires a predefined performance index. The task of such a design algorithm is the modification of the existing knowledge and at the same time, the investigation of new feasible structures.