Maglev weft knitting needle driving modeling and PID controller design

Zuo, Xiaoyan; Zhang, Chengjun; Xiong, Tao; Yin, Wenshu; Li, Ming; Wu, Xiaofeng; Zhu, Lei

doi:10.1080/00405000.2021.1944536

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…As a result, the detection system was unable to capture the actual dynamic characteristics of different selector blades, leading to inaccurate results and other issues. To address this problem, Zuo and his team [16] designed a hybrid magnetic levitation non-contact needle selector driving method. They compared the given driving voltage to the needle selector with the feedback voltage from magnetic needle displacement using a closed-loop PID system to detect the needle selector's working status.…”

Section: Introductionmentioning

confidence: 99%

Research on an Intelligent Piezoelectric Needle Selector System with Closed-Loop Fault Detection Capability

Dai,

Xu,

et al. 2023

Electronics

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The piezoelectric needle selector is a crucial component of computerized dobby weft knitting machines. With the continuous development of weft knitting machine technology, enhancing the accuracy of piezoelectric needle selector control is essential. Accurate determination of whether the blades are in the correct position would significantly improve the precision of piezoelectric needle selector control. In this study, piezoelectric ceramic sensors were used to collect impact vibration signals when the blades struck the damper baffle. Key hardware circuits were designed for this purpose. A self-learning algorithm was employed to capture the highest point and the time it takes to reach the highest point in the impact vibration signal. A fault detection algorithm was used to implement closed-loop fault detection for piezoelectric needle selectors. Experimental results and practical applications have demonstrated that this research effectively addresses the accurate determination of whether the piezoelectric needle selector blades are in the correct position. It has reduced the defect rate of fabric production in weft knitting, thereby improving the overall efficiency and profitability of businesses.

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Section: Introductionmentioning

confidence: 99%

Research on an Intelligent Piezoelectric Needle Selector System with Closed-Loop Fault Detection Capability

Dai,

Xu,

et al. 2023

Electronics

View full text Add to dashboard Cite

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Magnetic Field Analysis and Optimization of the Gauge of Hybrid Maglev Needles

et al. 2023

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Compared with the traditional needle driving method, hybrid maglev needle driving is a new weft knitting machine technology, which alleviates the problems of noise, heat, and needle breakage. However, in the structure of needle arrays, magnetic disturbance between permanent magnet knitting needles leads to unstable needle control. Therefore, this paper attempts to solve this problem through a performance analysis of hybrid maglev needle driving. Based on the structure, the magnetic force distribution model of permanent magnet knitting needles is established. Aiming at the magnetic interference between magnetic arrays, a magnetic shielding material, silicon steel with a high permeability, is proposed to optimize the driving structure of a magnetic levitation needle array. Through simulation and experimental analysis, the influence of different silicon steel thicknesses on magnetic field shielding is analyzed. It is concluded that the optimal value of a silicon steel sheet is 1 mm and that the optimal gauge of hybrid maglev knitting needles is 8 mm. Finally, compared with the theoretical and simulation analysis, the experimental results have indicated that the proposed optimized structure of the gauge of hybrid maglev knitting needles is correct and effective.

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Maglev weft knitting needle driving modeling and PID controller design

Cited by 2 publications

References 18 publications

Research on an Intelligent Piezoelectric Needle Selector System with Closed-Loop Fault Detection Capability

Research on an Intelligent Piezoelectric Needle Selector System with Closed-Loop Fault Detection Capability

Magnetic Field Analysis and Optimization of the Gauge of Hybrid Maglev Needles

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