MATLAB Model of Brushless DC Motor with Dual-Loop Control Implementation

Resource Overview

Implementation of dual-loop control for brushless DC motor using MATLAB, representing BLDC through mathematical modeling with three-phase inverter circuit as drive system. Speed regulation employs PID control algorithm, while current loop controls switching signals (PWM waves) for the three-phase inverter.

Detailed Documentation

This paper presents a MATLAB-based implementation of dual-loop control for brushless DC motors. The BLDC motor is represented through mathematical modeling, with a three-phase inverter circuit serving as the drive system. The control architecture implements PID algorithm for speed regulation in the outer loop, while the inner current loop governs the switching signals (PWM waves) for the three-phase inverter circuit. From a code implementation perspective, the model likely utilizes MATLAB/Simulink blocks for: - PWM generation module controlling IGBT/MOSFET switches - Three-phase inverter subsystem with bridge configuration - PID controller blocks with tunable parameters (Kp, Ki, Kd) - Current sensing and speed feedback loops The control performance can be further optimized by adjusting PID parameters through methods like Ziegler-Nichols tuning or automated optimization algorithms, enhancing system stability and reliability. The model demonstrates practical implementation of field-oriented control principles for BLDC motor drives.