Vector Control of AC Asynchronous Motors with MATLAB Simulation

This document presents a comprehensive MATLAB simulation model for asynchronous motor vector control implementation. Asynchronous motors, commonly referred to as induction motors, are extensively utilized across various industrial applications due to their robust construction, cost-effectiveness, and operational reliability. Recent advancements in power electronics and digital control technologies have significantly enhanced the capabilities of asynchronous motor control systems. The vector control methodology represents one of the most sophisticated approaches for achieving high-performance control of asynchronous motors. This simulation model implements field-oriented control (FOC) principles based on the motor's mathematical model, which involves coordinate transformations between stationary and rotating reference frames. The core implementation includes Clarke and Park transformations for converting three-phase quantities to two-axis reference frames, with inverse transformations for control signal generation. Key algorithmic components featured in the simulation include: - Rotor flux estimation and orientation mechanisms - Speed and torque decoupling controllers - Space Vector Pulse Width Modulation (SVPWM) implementation - Current regulator designs with PI controllers The MATLAB environment enables detailed simulation of motor control processes, including dynamic performance analysis under various operating conditions such as startup, load variations, and speed reversals. The model incorporates Simulink blocks for power electronics components, control system implementation, and real-time data visualization. This simulation framework provides valuable insights for researchers and engineers working in motor control applications, offering practical implementation guidelines and performance optimization strategies for industrial drive systems. The code structure allows for parameter customization and controller tuning to match specific motor characteristics and application requirements.