Integration of Dynamic Matrix Control Algorithm with PID Algorithm

The integration of dynamic Matrix Control (DMC) algorithm with PID algorithm not only possesses strong theoretical foundations but also demonstrates extensive application fields and practical value, making it an outstanding program selection for graduation projects. By combining predictive control capabilities of DMC with the error-correction mechanism of PID, this hybrid approach effectively solves numerous practical control problems while maintaining strong adaptability and robustness. The implementation typically involves designing a supervisory structure where DMC handles long-term optimization while PID manages immediate error corrections, often implemented through cascaded control loops or weighted output integration. Furthermore, this algorithm can be optimized and adjusted across different systems and environments through parameter tuning methods like step response testing for DMC model identification and Ziegler-Nichols methods for PID calibration, allowing customization to meet specific requirements. Therefore, selecting the DMC-PID integration scheme as a graduation project theme effectively showcases profound theoretical understanding while demonstrating practical application significance through implementable control strategies.