WOA-optimized fuzzy PID control for inductive heating of CFRP wound tubes

Accurate temperature regulation during the inductive heating of CFRP-wound circular tubes is crucial for maintaining the quality of composite formation. This process is marked by nonlinearity, time delays, and time-varying factors, rendering typical PID controllers inadequate for achieving high precision and rapid reaction. This work initially created a finite element model for the inductive heating of CFRP-wound tubes, utilizing the analogous electromagnetic-thermal properties of CFRP. The model clarifies the heat transport pathways and the spatial-temporal distribution features of the temperature field during induction heating. Thereafter, the Whale Optimization Algorithm (WOA) was utilized to optimize the essential parameters of the fuzzy PID controller. A compensation system for the temperature differential between the inner and outer surfaces was implemented to enhance control performance. Experimental results indicate that the WOA-Fuzzy-PID technique enhances temperature regulation accuracy, response speed, and disturbance rejection capability by roughly 63%, 57%, and 67%, respectively, when compared to traditional PID and fuzzy PID control systems. This greatly improves the overall control efficacy and resilience of the system. The proposed method significantly enhances temperature control accuracy during the heating process of CFRP-wound tubes and presents a novel strategy for the efficient production of composite materials.