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High-Order Iterative Learning Fault-Tolerant Control for Batch Processes with Iteration-Varying Sensor Faults

机译:具有迭代变化传感器故障的批量流程的高阶迭代学习容错控制

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摘要

This work is focused on the iterative learning fault-tolerant control for linear batch process with iteration-varying sensor faults. First, high-order internal model (HOIM) is used to describe iteration-varying sensor faults. Second, a special high-order dynamic iterative learning fault-tolerant control is constructed according to the HOIM. Third, The HOIM-based iterative learning fault-tolerant control is transformed into a controller design problem for a 2D Roesser model. Fourth, a HOIM-based iterative learning fault-tolerant control design criterion is presented to achieve the asymptotic stability. Finally, a numerical example is given to illustrate the efficiency of the proposed HOIM-based iterative learning fault tolerant control.
机译:这项工作主要集中在具有迭代变化传感器故障的线性批处理过程中的迭代学习容错控制。首先,使用高阶内部模型(HOIM)来描述迭代变化的传感器故障。其次,根据HOIM构建特殊的高阶动态迭代学习容错控制。第三,基于HOIM的迭代学习容错控制被转换为2D roesser模型的控制器设计问题。第四,提出了一种基于海中的迭代学习容错控制设计标准以实现渐近稳定性。最后,给出了数值例子来说明所提出的基于HOIM的迭代学习容错控制的效率。

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