Speed Control System of Brushless DC Motor Using Fuzzy Logic PID Controller in Automatic Guided Vehicle

Abstract

Brushless DC motors are employed in wide variety of applications including aerospace, robotics, healthcare and so on due to their advantages such as high operating life, high efficiency, high dynamic response. This paper describes speed control system of BLDC motor in Automatic Guided Vehicle using Fuzzy PID controller. The signal obtained from Hall-effect sensor of the motor can be analyzed to measure velocity of the robot. Fuzzy PID controller with high speed response characteristic and robustness is designed to maintain velocity of the robot. Thus workpieces on the robot don’t fall down under the several conditions such as setting off and stopping of the robot and sudden load variation. Using designed FPID controller, we can calculate output voltage and drive BLDC motor by using Pulse Width Modulation method. Several simulations using MATLAB are taken to assessment the advantages of the proposed method. This control system reveals high speed response characteristics and reliability in running operation especially under the varying load condition.