基于单神经元自适应算法的经纱张力控制器设计  

Design of Warp Tension Controller Based on the Single Neuron Adaptive Algorithm

作　　者：林坤[1] 吴震宇[1] 郑舟[1] 

机构地区：[1]浙江理工大学机械与自动控制学院,杭州310018

出　　处：《现代纺织技术》2011年第3期5-9,共5页Advanced Textile Technology

摘　　要：经纱张力稳定性是影响织物质量的重要因素之一。为得到经轴转速与经纱张力之间的数学关系,实现控制器对经纱张力的准确控制,建立了织机运行过程中的经纱动力学模型。设计了以单神经元自适应算法为控制算法、以单片机MCF5213为处理器的电子送经/卷取控制器。将单神经元自适应控制算法与常规PID算法的控制效果做仿真比较,结果表明,单神经元自适应控制对外界扰动具有更好的抑制性能。以RFJA10喷气织机作为现场调试平台进行台架试验。实验数据表明,该控制器控制效果良好,提高了张力控制系统的动态性能和稳定性。The stability of warp tension is a very important factor which affects the quality of fabrics. A dynamics model of warp in the course of loom running was established to get the mathematical relationship between the rotating speed of the warp beam and the warp tension, so as to control the warp tension accurately. Meanwhile, an electronic let-off and take-up controller was designed using the single neuron adaptive algorithm as the control algorithm and single-chip computer MCF5213 as the processor. A simulation was made to compare the control effects between single neuron adaptive control algorithm and the conventional PID control algorithm. It was found that the former had better suppression performance for external disturbances. A test was taken on the RFJA10 air jet loom, a platform of test and adjustment on site. The test results showed that the newly designed controller had good control performance and the dynamic performance and stability of the wrap tension control system was improved.

关 键 词：送经/卷取 经纱张力 模型 单神经元自适应 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]