Design Simulation and Implementation of Fuzzy Tuned Artificial Neural Network Controller for Chopper Fed DC Series Motor Using a Low Cost Microcontroller

3 Abstract: In this paper the speed control of a DC series motorwithHybrid Fuzzy-NeuroController (FNC) is presented. The motor is connected with a DC Chopper. This configuration has been designed with current control and speed control loops. The current controller blocks the PWMsignal when the current increases beyond its limit.Thespeed controller is based on Fuzzy-Neuro type. The performances of FNC are analyzed in respect of load variation and speed variation using MATLAB/Simulink.This system is implemented in NXP 80C51 Microcontroller based Embedded System. From the result of simulation and hardware implementation it is found that the FNC can have better control compared with Fuzzy Logic Controller (FLC).