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The warp tension, which is the let-off mechanism of carbon fiber multilayer loom, for the study object, the article expounds the composition and distribution of tension sensor, and analysis the detection principle of warp tension, thus design a detection scheme of warp tension. In order to solve the problems of warp tension control accuracy, through the study of neural network, fuzzy control theory and multi sensor information fusion, the authors propose a comprehensive algorithm, which contains neural network, fuzzy control theory and multi sensor information fusion. The weights, which function are obtained by the neural network, and are obtained by the chaos optimization method, then are fused by fuzzy comprehensive evaluation. Experimental results show that the recognition accuracy of multi sensor information fusion better than single sensor, and the accuracy of the tension control of carbon fiber multi-layer fabric loom is improved.

Warp Tension Detection Method of Carbon Fiber Multilayer Loom