Evaluation of Fuzzy Logic Control Technique for DC Motor Drives Using MAT LAB/SIMULINK

Vibhuti Kumar, Pankaj Kumar, Shashi Kumar, Abhishek Verma, Dr. Akhilendra Yadav

High efficiency due to reduced  losses, low  maintenance and low rotor inertia of the  dc motor have increased the demand of DC motors in high power servo and robotic applications. With the advent of controllers like fuzzy logic, which can convert linguistics control variables based on expert knowledge or practical results into desired control strategies. So it can be applied for various control system with uncurtained and unmodelled dynamics. This paper proposes three types of fuzzy logic controllers for DC motor drive using Mat lab/Simulink and presents a comparative study of performance specifications of PI and PID controllers and three fuzzy logic. The steady and dynamic characteristic of speed and torque are effectively monitored and analysed. The aim of fuzzy logic controllers is to obtain improved performance in terms of disturbance rejection or parameter variation than obtained using classical controllers. The fuzzy self-tuning approach implemented on a conventional PID structure was able to improve the dynamic as well as the static response of the system. Comparison between the conventional output and the fuzzy self-tuning output was done on the basis of the simulation result obtained by MATLAB. The simulation results demonstrate that the designed self-tuned PID controller realize a good dynamic behaviour of the DC motor, a perfect speed tracking with less rise and settling time, minimum overshoot, minimum steady state error and give better performance compared to conventional PID controller.