基于模型预测的经编送经动态张力补偿系统设计

经编机编织过程中首先要实现控制经纱在1个横列内不同角度区域张力值的变化,才能达成纱线的动态张力补偿控制。为解决当前系统控制经轴送经量出现的纱线张力波动大,且无法精确到控制1个横列内不同角度纱线张力等缺陷,设计了一种基于模型预测的经编送经动态张力补偿系统。通过结合经编机成圈机构运动规律进行分析,设计出系统的硬件和软件平台,优化张力传感器选型,设计了电子凸轮规划曲线算法和模型预测控制算法,实现了纱线动态张力补偿控制。通过理论分析和实验测试,从反馈的纱线动态张力值曲线分析验证了该模型预测控制算法能够使纱线张力峰值降低至少56%以上。

Design of dynamic tension compensation system for warp knitting let-off based on model predictions

In order to control the yarn dynamic tension compensation, warp knitting machines are required to control the variation of tension values in different angles in a cycle of knitting process. In view of the defects associated with controlling the let-off of warp beam, such as excessive yarn tension fluctuation and difficulty in accurate control of yarn tension with different angles in a row, a warp knitting let-off dynamic tension compensation system based on model prediction has been developed. To faclitate the yarn dynamic tension compensation control, a hardware and software platform of the system was designed, tension sensors were selected and optimized, algorithm for determining the electronic cam programming profile and the control algorithm for model prediction were created, on the basis of analyzing the movement law of the winding mechanism of the warp knitting machine. Through theoretical analysis and experimental validation, the control algorithm of model prediction is found to reduce the yarn tension peak value by at least 56% by analyzing the feedback yarn dynamic tension curve.