Genetic Algorithms Based Fuzzy Speed C ontrollers for Indirect Field Oriented Control of Induction Motor Drive
Moulay Rachid Douırı, Mohamed Cherkaoui, Ahmed Essadki · 2012
In this paper the genetic algorithms is applied to automate and 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 objective function. 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. The proposed approach in this paper is employed for the speed control of an induction motor drive with indirect field oriented control.