MATLAB Implementation of Vector Control Model

The MATLAB vector control model is specifically designed for asynchronous motor vector control applications, providing a robust framework for modeling and simulating various control strategies. Implemented in MATLAB 7.01 version, this model enables users to explore different control approaches through customizable simulation parameters and evaluate their performance in a controlled virtual environment. The model incorporates key vector control components including Clarke transformation (converting three-phase to two-phase stationary reference frame), Park transformation (rotating reference frame alignment), and PID controllers for current regulation. Users can modify control parameters such as proportional-integral gains, switching frequencies, and motor parameters to tailor simulations to specific requirements. Through this implementation, engineers can analyze dynamic performance characteristics including torque response, flux control, and speed regulation. The code structure allows for easy integration of advanced features like field weakening control or sensorless operation algorithms. By leveraging MATLAB's simulation capabilities, users gain valuable insights into motor control complexities while facilitating innovation in drive system development. The model architecture supports both open-loop and closed-loop control schemes, with built-in functions for SVPWM (Space Vector Pulse Width Modulation) generation and real-time performance monitoring. This implementation serves as an educational tool and practical development platform for power electronics and motor control applications.