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A Discrete-time Integral Sliding Mode Control Method Based on Iterative Dynamic Linearization Data Model

机译:一种基于迭代动态线性化数据模型的离散时间积分滑模控制方法

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A data-driven integral sliding mode control scheme is proposed for a class discrete-time repetitive nonlinear system in this article. First, an iterative dynamic linearization data model is established in the iterative domain based on iterative dynamic linearization technology, which is only related to the online data of the system. Then, considering the time and iterative domain at the same time, an iterative integral sliding mode surface is designed, and an iterative integral sliding mode controller is proposed. Moreover, the stability of the proposed scheme is proved by theoretical analysis. Finally, the effectiveness of the proposed scheme is verified by simulation research. Comparative results with optimal iterative learning controller demonstrate that the proposed controller can provide the minimize the control effort and less tracking error.
机译:提出了一种用于本文中的类离散时间重复非线性系统的数据驱动的整体滑动模式控制方案。 首先,在基于迭代动态线性化技术的迭代域中建立了一种迭代动态线性化数据模型,其仅与系统的在线数据有关。 然后,考虑同时考虑时间和迭代域,设计了一种迭代整体滑动模式表面,提出了一种迭代整体滑动模式控制器。 此外,通过理论分析证明了所提出的方案的稳定性。 最后,通过模拟研究验证了所提出的方案的有效性。 具有最优迭代学习控制器的比较结果表明,所提出的控制器可以提供最小化控制努力和更少的跟踪误差。

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