Brushless DC Motor Control System Simulation with Robust Performance

Resource Overview

This simulation system provides reliable modeling of brushless DC motor control systems. By modifying parameters such as PWM frequency, PID gains, and motor constants, users can simulate various motor operating conditions. The modular code structure allows easy integration of custom motor models and control algorithms.

Detailed Documentation

The simulation system demonstrates stable operation and is designed for modeling brushless DC motor control systems. To enhance simulation accuracy, additional parameters can be incorporated into the MATLAB/Simulink model, including motor load characteristics, ambient temperature effects, and electromagnetic properties. These factors significantly impact motor performance metrics like torque ripple and efficiency, making their inclusion crucial for realistic simulations. The system architecture supports integration of monitoring functions through MATLAB callback functions and Simulink scopes, enabling real-time tracking of motor speed, phase currents, and torque output. The core algorithm implements field-oriented control (FOC) with space vector PWM modulation, while the simulation employs ode45 solver for accurate dynamic response modeling. With its object-oriented design and parameterized blocks, the system offers significant extensibility. Users can implement custom control strategies by modifying the PID regulator blocks or adding fault-tolerant features through Stateflow charts. This flexibility makes the simulation suitable for various applications including automotive systems, industrial drives, and robotics applications. Key functions include: - Motor parameter initialization through structure arrays - Real-time data logging using To Workspace blocks - Dynamic load torque modeling with lookup tables - Thermal modeling throughRC network analogues - Efficiency calculation using mathematical operator blocks