2016
DOI: 10.1080/00405000.2016.1160817
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Using the expert system to analyze loom performance

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Cited by 5 publications
(4 citation statements)
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“…The maximum relative error of tension at different experimental conditions was calculated and compared to the traditional PID control algorithm (PID/the genetic PID). [33][34][35][36][37][38] The results are shown in Table 4. Table 4 shows that although the tension fluctuation under traditional PID control is <10%, which meets the basic requirements of warp tension control, it is difficult to guarantee its control performance with the improvement in weaving speed.…”
Section: Experimental Verification and Discussionmentioning
confidence: 99%
“…The maximum relative error of tension at different experimental conditions was calculated and compared to the traditional PID control algorithm (PID/the genetic PID). [33][34][35][36][37][38] The results are shown in Table 4. Table 4 shows that although the tension fluctuation under traditional PID control is <10%, which meets the basic requirements of warp tension control, it is difficult to guarantee its control performance with the improvement in weaving speed.…”
Section: Experimental Verification and Discussionmentioning
confidence: 99%
“…Appropriate yarn tension makes the winding bobbin roll efficient, increasing the production efficiency of winding, twisting, weaving, and knitting [ 2 , 3 , 4 ]. Therefore, selecting an appropriate detection circuit is necessary to ensure the precision and stability of the yarn tension sensor’s output signal [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Reference [7] proposed a fuzzy optimal integral separation PID warp tension control scheme based on process sampling to improve the warp tension control level of the loom. Reference [8] proposes an improved model and combines it with genetic algorithms and gradient-based methods to calculate the optimal setting parameters of the weaving process to ensure fabric quality. However, considering that the loom is a complex distributed mechanical system with multiple control degrees of freedom, its system design contains lots of control units.…”
Section: Introductionmentioning
confidence: 99%