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

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