辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2009, Vol. 29 ›› Issue (4): 71-73.

• 计算机与自动化 • 上一篇    下一篇

均热炉温度模糊滑模迭代学习控制算法

石元博1,黄越洋2,张 茜2   

  1. 1.辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001;
    2.辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001
  • 收稿日期:2009-01-17 出版日期:2009-12-25 发布日期:2017-07-05
  • 作者简介:石元博(1981-),男,吉林梅河口市,硕士

Algorithm of Fuzzy Sliding Mode Iterative Leaning  Control for Rolling Mill Temperature

SHI Yuan-bo1, HUANG Yue-yang2, ZHANG Qian2   

  1. 1.School of Computer and Communication Engineering, Liaoning University of Petroleum & Chemical  Technology, Fushun Liaoning 113001,P.R.China;2.School of Information and Control Engineering,  Liaoning University of Petroleum & Chemical Technology, Fushun Liaoning 113001,P.R.China
  • Received:2009-01-17 Published:2009-12-25 Online:2017-07-05

摘要: 针对具有不确定性的重复非线性均热炉温度控制系统,提出基于模糊滑模迭代学习控制算法。该算
法以系统的滑模函数作为模糊控制器的输入,以模糊控制器的输出作为迭代学习控制的控制增量。将滑模控制算
法引入到迭代学习控制中能够加速迭代学习控制的收敛速度,利用模糊控制能够减小滑模控制所引起的抖动问题。
通过仿真可以看出,模糊滑模迭代学习控制算法能够实现系统快速收敛,该算法比单纯反馈控制具有更好的控制效
果。

关键词: 模糊控制 , 滑模控制 , 迭代学习

Abstract: Algorithm of fuzzy sliding mode iterative learning control was proposed for repetitive nonlinear rolling mill temperature control system with uncertainties. The algorithm was an iterative learning control algorithm, which took the function of a sliding mode control as the input of fuzzy control and took the fuzzy control output as the control increment of iterative learning control. To improve the convergence rate of ILC, a new ILC based on a sliding mode fuzzy control was presented which combined a sliding mode control with ILC. The fuzzy control in the algorithm can smooth the control signal and lessen the common dithering of sliding mode control. The simulation results indicate that the new algorithm is effective, which can achieve higher speediness than simplex feedback control.

Key words: Uzzy control , Sliding mode control ,  Iterative learning

引用本文

石元博,黄越洋,张 茜. 均热炉温度模糊滑模迭代学习控制算法[J]. 辽宁石油化工大学学报, 2009, 29(4): 71-73.

SHI Yuan-bo, HUANG Yue-yang, ZHANG Qian. Algorithm of Fuzzy Sliding Mode Iterative Leaning  Control for Rolling Mill Temperature[J]. Journal of Liaoning Petrochemical University, 2009, 29(4): 71-73.

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