Switching-Gain Adaptation Current Control For Brushless DC Motors
Keywords:
BLDC motor, PI controller, neural network, Fuzzy logic.Abstract
Given The permanent magnet brushless DC motors are utilized more in automotive, industrial and
household product due to its high torque density, compactness, high efficiency, low maintenance and simple control.
BLDC motor is meant to utilize the trapezoidal back emf voltages with square wave currents to come up with constant
torque. BLDC motor is electronically controlled and needs rotor position data for correct commutation of the currents
even at fixed-speed application. On the other hand it's very important to lower the producing value of the BLDC motor
drive for several applications. This survey presents analysis of many algorithms planned by many authors to deal with
the speed control of BLDC motor effectively. The several algorithms are analyzed completely to spot their benefits and
limitations. The performance analysis of the algorithms is applied to see the simplest approach. Finally the fuzzy and
neural techniques are found to have superior quality for speed control of drives.
