变径变纬密管状织物的控制模型及其算法实现

Control model and algorithm implementation for non-equal radius tubular fabric with variable weft density

为满足管状织物变径变纬密的织造要求和自动化生产需要,建立其控制模型,分析并实现了控制算法。首先针对织物的变径特性,设计一种可无级变径机构,并据此推导出旋转角度与时间的变化关系。然后分析纬密变化方式,建立牵引速度与时间的关系函数。基于广义回归神经网络来逼近织物的非线性形状曲线,采用Mat Lab进行仿真分析,验证模型和算法的可行性,通过编程实现控制参数的自动计算和输出。该控制模型和算法具有运算快、结构简单、精度高等优点,能很好满足碳纤维复合材料预成型体织造等领域的要求。

To meet the weaving requirements and automatic production needs of controllable weft density and variable diameter tubular fabric,a control model was established. The control algorithm was also analyzed and realized. Firstly,Aiming at non-equal radius properties of fabrics,a continuously adjusting mechanism was designed, based on which, the relationship between rotation angle and time was deduced. And then,the variation of weft density was analyzed,and the relation between traction speed and time was also established. Based on the general regression neural network,the nonlinear shape curve of the fabric was approached. To verify the feasibility of the model and algorithm,Mat Lab was used for simulation analysis. The control model and algorithm have the advantages of fast operation,simple structure and high precision,which can meet the requirements of the fields of carbon fiber composites preform weaving,etc.