Motor Drive Simulink Model with PI Controller Parameter Tuning

This implementation utilizes a motor-driven Simulink model where PI controller parameters are systematically adjusted to simulate various control effects. The model incorporates proportional and integral gain tuning through MATLAB's PID Tuner toolbox or manual parameterization, enabling real-time performance observation. Simulation results are captured to demonstrate the system's dynamic response.

In this experimental setup, the motor drives the Simulink model while PI controller parameters (Kp and Ki values) are modified to achieve different control characteristics. The implementation uses transfer function blocks for motor representation and PID Controller blocks for algorithm execution, facilitating analysis of motor operational principles and performance metrics under varying control conditions.

Post-simulation execution, a series of result plots are generated displaying motor behavior across different parameter configurations. These plots include step response curves, stability analysis graphs, and error convergence diagrams, allowing for comprehensive evaluation and optimization of the control system through quantitative performance indicators like settling time, overshoot, and steady-state error.