Modeling, simulation and analysis of controllers for brushless direct current motor drives

Abstract

Brushless direct current (BLDC) motors are widely used in industrial, aerospace, medical, machine tools, aerospace and control applications. Nowadays they are becoming popular due to their advantages such as reduced maintenance, better speed-torque characteristics, good dynamic performance, noiseless operation, wide speed range, compact size, high torque to volume ratio, low moment of inertia and high efficiency. However, very few control techniques are available for controlling the BLDC drive systems. This paper presents a MATLAB simulation of practically realizable control techniques such as a conventional proportional-integral-derivative (PID) controller, a fuzzy controller, an adaptive artificial neural network proportional-integral-derivative (ANN-PID) controller and a pulse width modulation technique based PID controller for achieving better performance during the operating conditions. The simulation results are presented to highlight the effectiveness of these controllers such as speed of response, overshoot and steady-state error etc.

An Adaptive Sliding Surface Slope Adjustment in Sliding Mode Fuzzy Control Techniques for Brushless DC Motor Drives

“…This kind motor is very attractive in servo and/or variable speed application since it can produce a torque characteristic similar to that of a permanent magnet DC motor while avoiding the problems of failure of brushes and mechanical commutation. Where the back-EMF waveforms e a , e b and e c are functions of angular velocity of the rotor shaft, so (4) Where K e is the back-emf constant. So the BLDC motor mathematical model can be represented by the following equation in matrix form:…”

“…The modelling ofbrushless dc motor, estimation of parameters and control schemes are discussed in [1]- [3]. The effect of changein motor parameters, load disturbances on the performance of the brushless dc drive system is discussed in [4]- [6].Several tuning methods for the PI and PID controllers are described in [7]- [9].Design, implementation and performance analysis of sliding mode controllers for various applications such as AC motors, BLDC motor, etc., are presented in [10]- [14].Design and implementation of fuzzy based controllers for improving the performance of dcmotors and brushless dc drives under different operating conditions are discussed in [15]- [19]. This paper is organized into six sections.…”

Modeling and controlling of BLDC motor based fuzzy logic

“…The perf motor operating at different condition for th the motor drive is discussed in [16]. How controller which improve the dynamic perf is no variation and load disturbance in the m II.…”

Practical Modeling and Comprehensive System Identification of a BLDC Motor

“…Brushless direct current (BLDC) motors are prevailingly used in high performance drive applications such as machine tools, robotics, space crafts, and medical applications, owing to their superior speed-torque characteristics, high efficiency, less maintenance, and wide operating speed range [1]. Particularly for small-scaled UAVs (Unmanned Aerial Vehicles), the BLDC motor are receiving an increasing number of attentions with the advantages of small size, high power density, and easy control and operation.…”