MATLAB Implementation of Induction Motor Vector Control
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Resource Overview
This project implements induction motor vector control in MATLAB using three PI regulators (flux regulator, torque current regulator, and speed regulator). The system features well-structured encapsulation suitable for beginners, with implementation guidance for MATLAB 7.1 version. Key aspects include coordinate transformation algorithms and PWM signal generation techniques.
Detailed Documentation
This article introduces the MATLAB implementation of induction motor vector control. The system employs three PI regulators: a flux regulator, a torque current regulator, and a speed regulator. Compared to other implementations, this system features better encapsulation and is well-suited for beginners. Additionally, the article provides detailed guidance on implementation using MATLAB 7.1 version.
Beginners can follow these learning steps:
1. Understand the fundamental concepts and principles of induction motor vector control, including coordinate transformation between stationary (α-β) and rotating (d-q) reference frames.
2. Learn MATLAB programming techniques specific to control systems, focusing on function modularization and Simulink block diagram construction.
3. Master PI regulator implementation, including parameter tuning methods and anti-windup mechanisms for improved dynamic response.
4. Study the integration of flux regulator, torque current regulator, and speed regulator to achieve complete vector control, with emphasis on decoupling control algorithms.
5. Implement induction motor vector control in MATLAB 7.1 and perform simulation experiments, analyzing performance through waveform observation and data logging.
Through this article, beginners can gain deeper understanding of induction motor vector control principles while acquiring essential MATLAB programming and PI regulator control skills. The implementation demonstrates practical applications of Clarke/Park transformations and space vector PWM techniques.
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