Assistant Professor Faculty of Electrical Engineering, AMET Deemed to be University, Chennai, Tamilnadu. India.
Associate Professor Faculty of Electrical Engineering, Velalar College of Engineering and Technology, Erode, Tamilnadu. India
Professor Faculty of Electrical Engineering, AMET Deemed to be University, Chennai, Tamilnadu. India.
Associate Professor Faculty of Electrical Engineering, Rise Krishna Sai Prakasam Group of Institutions, Ongole, Andhra Pradesh. India.
This paper deals with the time response performance analysis of the brushless DC
(BLDC) motor i.e. electronically commutated motors based on Modified Ant colony
optimization Techniques. The BLDC motor is becoming increasingly popular because of
the wear-prone brushes used in traditional motors has been replaced with an electronic
controller which improves the reliability of the unit and finds applications in the fields of
motion control systems, positioning and actuation systems, industrial engineering etc. The
BLDC motor’s controller requires the rotor's orientation / position relative to the stator
coils for directing the rotor rotation. In conventional BLDC motor, hall effect sensors or
rotary encoders might be used for measuring the rotor’s position directly. In sensorless
BLDC motor, back EMF has to be measured in the undriven coils to infer the rotor
position. The proposed method explores the characteristics of Modified Ant colony
optimization algorithm based on torque, speed and flux control by reducing the steady state
error for optimizing the PID controller of the BLDC motor. Simulations based on
MATLAB and its results illustrate the improved performance of BLDC motor by the