Ideal Modeling in Simulink for Control System Design

This paper presents an ideal model developed within the Simulink environment using vector control methodology. The model employs field-oriented control algorithms with Clarke/Park transformations for decoupling torque and flux components, implemented through PID regulators and pulse-width modulation (PWM) blocks. This baseline architecture allows for systematic integration of practical disturbance factors - including parameter variations, load torque fluctuations, and sensor noises - using Simulink's disturbance injection blocks and custom MATLAB functions. Through this progressive design methodology, engineers can develop sophisticated controllers featuring advanced compensation techniques such as disturbance observers and adaptive control algorithms. The implementation demonstrates enhanced capability to address real-world operational challenges, ultimately improving system stability and dynamic performance through structured simulation and validation workflows.