Research on temperature control in additive manufacturing of thermosetting carbon fiber composites using DMC-IEPO-PID algorithm

Abstract This study presents a novel temperature control strategy for Additive Manufacturing (AM) of thermosetting carbon fiber composites, integrating Dynamic Matrix Control (DMC), Improved Eagle Perching Optimization (IEPO), and a Proportional-Integral-Derivative (PID) controller, termed the DMC-IEPO-PID algorithm. This approach addresses traditional PID controller limitations like sluggish response, overshoot, and poor adaptability in complex manufacturing. By combining the simplicity of PID, adaptability of IEPO, and predictive accuracy of DMC, the algorithm improves temperature regulation in AM. Simulations and experiments at 250°C, 300°C, and 350°C showed superior performance in reducing fluctuations, stabilization time, and improving accuracy. The findings confirm the DMC-IEPO-PID’s effectiveness in handling nonlinearities and time-varying characteristics, optimizing AM processes for thermosetting composites.