International Journal of Engineering and Technology

In this article, the speed of the DC motor is controlled by Hybrid Fuzzy-Neuro controller (FNC). The Hybrid Fuzzy-Neuro controller is designed and tested for different types of DC motors like DC separately excited motor and DC series motor. The motor is fed by DC-DC buck converter (DC chopper). The system has two loops of inner current controller loop and outer Fuzzy-Neuro based speed controller loop. The speed controller gives the duty cycle to generate the PWM signal for the control of chopper. There by the DC chopper controls the speed of the DC motor to the set value. The training data for training the FNC is acquired from Fuzzy Logic Controller (FLC). The performances of FNC are analyzed in respect of load variation and speed variation using MATLAB/Simulink. The FNC reduces the peak overshoot, settling time and steady state error of the DC motor. It is found that the FNC can have better control compared with FLC. This system is implemented in a NXP 80C51 family Microcontroller (P89V51RD2BN) based Embedded System.