Neuro-Fuzzy Controller for Axial Flux Permanent Magnet Gearless Generator

This study focuses on the design of the intelligent electronic controller of a multi-stage three-phase axial flux permanent magnet generator system. The aim of designing such a controller is to replace the gearbox regulating the fluctuations of the power, voltage and frequency of the output of the generator by an intelligent electronic controller. The controller is implemented as a neuro-fuzzy type of intelligent control system. This generator together with the intelligent controller is suitable for both low speed and high speed wind energy applications. The controller detects the speed of wind by the fuzzy logic soft computing subsystem. The control signals are produced by the neural network based on the fuzzy rules. The control method used here provides a cheap and effective solution for implementing wind turbines especially used for local places. This is an innovative solution for this type of applications. The overall generator is a small size, light weight, low noise, highly efficient and reliable system.