基于智能算法的高速喷气织机恒张力控制技术的研究  

Research on Constant Tension Control Technology of High Speed Air Jet Loom Based on Intelligent Algorithms

作　　者：廖黎莉[1] 芮晓光[1] 王传洋[2] 李亚琴[1] Liao Lili

机构地区：[1]苏州市职业大学,江苏苏州215000 [2]苏州大学,江苏苏州215000

出　　处：《工业控制计算机》2020年第5期115-118,共4页Industrial Control Computer

基　　金：国家自然基金(61602333)。

摘　　要：针对高速喷气织机恒张力控制问题,通过对高速喷气织机织造工艺技术的研究,在分析纱线张力影响因素的基础上构建了喷气织机纱线张力数学模型,提出了一种改进的模糊神经网络PID控制器对送经电机转速进行调控,以实现经纱恒张力的控制方案。以Mamdani模型为基础构建模糊神经网络PID控制模型,并通过将正向的混沌遗传算法和反向的BP神经网络相结合,实现模糊神经网络控制参数的优化生成。通过计算机仿真和样机实验证明该方案具有响应速度快、控制精度高等优点,实验数据表明该控制方案效果良好,能提高张力控制系统的稳定性,符合实际生产需求。Aiming at the problem of constant tension control of high-speed air-jet loom,this paper studies the weaving technology of high-speed air-jet loom,establishes the mathematical model of yarn tension of air-jet loom based on the analysis of the influencing factors of yarn tension,and puts forward an improved fuzzy neural network PID controller to control the speed of warp-let-off motor in order to realize the control scheme of constant tension of warp.Based on Mamdani model,a fuzzy neural network PID control model is constructed in this paper.By combining the forward chaotic genetic algorithm with the backward BP neural network,the optimal generation of the control parameters of the fuzzy neural network is realized.The computer simulation and prototype experiment prove that the control scheme has the advantages of fast response and high control precision.

关 键 词：模糊神经网络 恒张力控制 电子送经/卷取 PID控制器 

分 类 号：TS103.272[轻工技术与工程—纺织工程] TP273[轻工技术与工程—纺织科学与工程]