经验模态分解方法在张力控制中的应用研究  

Application Research on the Empirical Mode Decomposition Method in Tension Control

作　　者：曾方[1] 

机构地区：[1]成都航空职业技术学院,四川成都610021

出　　处：《自动化仪表》2011年第1期23-25,29,共4页Process Automation Instrumentation

摘　　要：张力控制是卷绕自动化生产线中的关键技术。针对张力控制要求较高,而张力传感器所测张力信号的波动会引起控制精度降低的问题,采用一种基于经验模态的分解方法对张力信号进行处理,再运用张力控制器进行控制。仿真实验表明,这种控制算法可以满足张力较大、坯布较厚和张力变化较慢的加工工艺机械的要求;但对于一些轻薄织布的加工,由于张力调节要求超调较小,且必须快速稳定,这种设计还需要进一步改进。Tension control is one of the key technologies in winding automation production line.Aiming at the contradiction of strict requirement of tension control while the fluctuation of tension signals measured by tension sensor decreases the control accuracy,by adopting decomposition method based on empirical mode,the tension signals are processed and then controlled by tension controller.The simulation experiment indicates that this control algorithm can meet the technological process requirement for large tension,thick grey cloth and slower tension variation machinery,but the algorithm is not good enough for thin fabric processing because of the small overshoot and fast stability demands on tension regulation,thus the design will have to be further improved.

关 键 词：卷绕自动化 张力控制 双闭环控制 经验模态分解 控制算法 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]