Fiber tension fuzzy control research based on improved genetic algorithm

doi:10.19936/j.cnki.2096-8000.20250228.008

Abstract

Abstract: Fiber winding is the key process in composite material manufacturing, and the precision of tension control during unwinding directly affects the quality of the wound products. To meet the requirement of constant tension during fiber winding, this paper addresses the challenges of disturbances, time-varying behavior, and non-linearity in tension control during the winding process. By establishing a torque balance equation on the unwinding side and analyzing the influence of factors such as yarn path and acceleration on tension dynamics, this paper proposes a fuzzy PID control strategy based on an improved genetic algorithm to optimize control parameters. Simulation results show that the optimized fuzzy PID controller significantly reduces tension overshoot, effectively suppresses tension fluctuations during speed disturbances, and demonstrates good robustness to parameter variations. Experimental validation confirms the feasibility of the optimized fuzzy PID controller in the tension control system.

Key words: fiber winding, tension control, genetic algorithm, fuzzy control, PID, composites

CLC Number:

TB332

YAN Shan, FU Tianyu, XU Jiazhong, SHI Xinmin. Fiber tension fuzzy control research based on improved genetic algorithm[J]. COMPOSITES SCIENCE AND ENGINEERING, 2025, 0(2): 54-61.

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