Simulink Implementation for Two-Motor Synchronization Control

In my graduation thesis, I implemented synchronous control of two motors using MATLAB's Simulink environment. The program employs a master-slave control strategy where one motor acts as the reference (master) while the other follows its trajectory (slave). The synchronization algorithm incorporates PID controllers for precise speed and position tracking, with cross-coupling compensation to minimize synchronization errors between motors. The model architecture uses Simulink's library blocks including PWM generators, motor dynamic models, and feedback control loops. Key components include encoder feedback processing, disturbance observers, and synchronization error calculation blocks. The modular design allows straightforward expansion to multiple motor systems by replicating the slave control structure and implementing centralized or distributed synchronization algorithms. During my research on advanced motor control techniques, this implementation proved particularly valuable for understanding multi-motor coordination challenges. I plan to further develop this foundation by integrating advanced control strategies like adaptive control or model predictive control, and applying it to more complex industrial systems such as robotic manipulators or conveyor systems requiring coordinated multi-axis movement. This program provides a robust framework for future motor control research, offering insights into real-time synchronization implementation, disturbance rejection techniques, and scalable control system design principles.