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放卷张力系统H_∞鲁棒控制器的设计 被引量:17

H_∞ Robust Control Design for Unwinding Tension System
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摘要 针对印刷机放卷系统对张力控制稳定性的要求,利用线性矩阵不等式(LMI)方法对放卷张力系统H∞鲁棒控制进行了分析研究和仿真验证.根据放卷系统的工作机理,建立了放卷张力系统的非线性数学模型,通过对系统不确定时变参数的分析,进一步对系统进行了线性化改造.在建立的放卷张力系统模型基础上,利用LMI方法进行了H∞鲁棒控制器的设计,并对控制器的抗干扰性能进行了仿真验证.仿真结果表明,利用LMI方法可以较容易地实现放卷张力系统的鲁棒控制.由于LMI控制器的设计具有不需要权函数和自动优化控制器参数,以及通过极点配置能够满足性能要求等特点,因此在参数时变和外部扰动情况下,可以保证放卷张力系统的渐进稳定性,并且可使系统性能得到优化. An H∞controller based on linear matrix inequality(LMI) method is presented to strengthen the stability of the tension in unwinding section of printing press,and the controller is analyzed and verified by the simulation.A nonlinear model is established according to the unwinding system working principle,and a linear model is constructed by analyzing the uncertain and time-varying parameters.Then an H∞ controller is designed following the linear model with LMI.The robust disturbance rejection performance of the H∞controller is verified by the simulation,and the results show that the unwinding tension system can be controlled easily with LMI robust control concepts.LMI-based controller is endowed with advantages of requiring no weighting functions,optimizing the parameters of controller automatically and meeting transient requirements with pole placement constraints,and ensures the unwinding tension system to get asymptotically stable and the performance can be optimized according to the time-varying parameters and external disturbances.
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 2012年第1期86-90,102,共6页 Journal of Xi'an Jiaotong University
基金 国家自然科学基金资助项目(51075321) 国家高档数控机床重大专项资助项目(2010ZX04001-021)
关键词 张力控制 放卷系统 鲁棒控制 线性矩阵不等式 tension control unwinding system robust control linear matrix inequality
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参考文献11

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同被引文献94

  • 1申志强,邹继涛,陈韬,曹长修.张力控制数学模型应用研究[J].华中科技大学学报(自然科学版),2007,35(12):65-67. 被引量:21
  • 2韩京清.自抗扰控制技术[J].前沿科学,2007,1(1):24-31. 被引量:456
  • 3欧长劲,吴海列,卢康.模糊神经网络张力控制系统[J].轻工机械,2006,24(4):102-105. 被引量:11
  • 4韩京清.自抗扰控制技术[M].北京:国防工业出版社.2008.
  • 5刘飞.凹印机印刷过程中的张力计算与张力控制[J].北京印刷学院学报,2007,15(4):50-53. 被引量:2
  • 6LI Jian,MEI Xuesong,TAO Tao,et al.Design ten-sion controller of unwinding system based on BP neuralnetwork[J].Advanced Science Letters,2011,4(6/7):2222-2226.
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