Research on temperature control of CF-PP induction heating based on improved particle swarm fuzzy PID

Abstract

Achieving precise temperature control during the heating process of carbon fibre-reinforced polypropylene thermoplastic composite (CF-PP) using electromagnetic induction heating is crucial for the consolidation effectiveness of the material. This paper begins by constructing a finite element microscopic model for induction heating that incorporates the actual fiber structure and matrix. It systematically analyzes the heating mechanism, temperature field distribution, and surface temperature hysteresis of CF-PP with different fiber weave structures during the heating process. Based on the observed temperature distribution and variation patterns during material heating, an improved particle swarm Fuzzy PID control method is proposed, which effectively reduces temperature overshoot and enhances the system’s resistance to disturbances. Experimental validation demonstrates the effectiveness of this algorithm for controlling the temperature of CF-PP plates during the induction heating process. This research offers an effective control strategy and research approach to enhance the accuracy of temperature control during the CF-PP induction heating process, contributing to improved outcomes in the field.