摘要
张力控制技术在锂电池生产和轧钢等卷对卷设备运行中显得十分重要,是很多控制设备的基础技术之一,其性能直接影响产品的质量和生产的效率。针对张力控制系统存在的非线性、时变等问题,通过研究张力控制系统的动态特性,建立了卷对卷系统张力的数学模型。选择了滑模变结构控制策略,结合变速趋近律和指数趋近律的方法设计了一种新的控制律。削弱了采用一般的滑模变结构控制方法难以避免的系统抖振问题,提高了目标跟踪精度,有效减少了张力误差。以二轴张力控制系统为研究对象进行仿真分析,在Matlab平台上建立张力控制系统的数学仿真模型,分析了该系统的响应特性和跟踪性能。仿真结果表明系统可以快速准确地跟踪方波与正弦信号,并能有效抑制简单滑模变结构控制的抖振问题,验证了所设计的控制方法的有效性。
Tension control technology is very important in the operation of roll-to-roll equipment.It is one of the basic technologies of many control equipment.Its performance directly affects the quality of products and the efficiency of production.Aiming at the problems of non-linearity and time-varying in tension control system,the mathematical model of tension in winding system is established by studying the dynamic characteristics of tension control system.The sliding mode variable structure control strategy is selected,and a new control law is designed by combining variable speed reaching law and exponential reaching law.It reduces the chattering problem which is difficult to avoid by using the general sliding mode variable structure control method,and improves the tracking accuracy of the target.The two-axis tension control system is taken as the research object for simulation analysis.The mathematical simulation model of tension control system is established on Matlab,and the response characteristics and tracking performance of the system are analyzed.The results show that the system can track square wave and sinusoidal signal quickly and accurately,and can effectively suppress the chattering problem of simple sliding mode variable structure control,which verifies the effectiveness of the proposed control method.
作者
杨航
王朝立
YANG Hang;WANG Chaoli(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《智能计算机与应用》
2020年第3期101-105,共5页
Intelligent Computer and Applications
基金
国家自然科学基金(61374040,61503205)。
关键词
卷对卷系统
张力控制
滑模变结构控制
计算机仿真
roll-to-roll systems
tension control
sliding mode variable structure control
computer simulation