Asynchronous Motor Vector Control without Speed Sensor Simulation Model

In this project, we will investigate vector control technology for asynchronous motors, specifically focusing on its application without speed sensors. We will develop simulation models to emulate asynchronous motor operations and analyze their performance characteristics under varying load conditions. The implementation will involve coding Clarke and Park transformations for reference frame conversion, designing flux observers for speed estimation, and implementing PID controllers for closed-loop regulation. Additionally, we will explore optimization techniques for vector control algorithms to enhance motor efficiency and controllability. This will include parameter tuning through automated scripts, selection of appropriate control strategies like field-oriented control (FOC), and implementation of robustness enhancements. We believe this project will provide deep insights into asynchronous motor control technology and serve as valuable reference material for future research, with potential code implementations in MATLAB/Simulink featuring real-time parameter adjustment capabilities and dynamic performance monitoring modules.