一类工业运行过程最优数据采样解耦控制方法
发布时间：2018-12-21 15:53
【摘要】：工业运行过程的动态模型由底层设备层被控对象的动态模型和上层运行层生产过程的动态模型两部分组成.针对一类强耦合工业运行过程,提出了基于数据采样的最优解耦控制方法.该方法在底层设备层,将基于数据采样的控制问题转化为时变时滞系统的稳定性问题,基于Lyapunov-Krasovskii函数,给出了基于数据采样的状态反馈控制器参数.由于底层设备层采样使得上层运行层的动态模型为既有连续信号又有离散信号的混杂模型,因此在上层运行层,首先将混杂模型离散化,然后针对离散化后的运行过程广义模型,采用解耦控制与最优跟踪控制相结合的方法设计最优解耦控制器.通过数值例子的仿真对比实验说明了所提方法的有效性.
[Abstract]:The dynamic model of industrial operation process consists of two parts: the dynamic model of the controlled object in the underlying equipment layer and the dynamic model of the production process in the upper layer. An optimal decoupling control method based on data sampling is proposed for a class of strongly coupled industrial processes. The control problem based on data sampling is transformed into the stability problem of time-varying time-delay systems in the underlying device layer. Based on the Lyapunov-Krasovskii function, the parameters of the state feedback controller based on data sampling are given. The dynamic model of the upper layer is a hybrid model with both continuous and discrete signals, so in the upper layer, the hybrid model is discretized first. Then an optimal decoupling controller is designed by combining decoupling control with optimal tracking control for the discrete generalized model of running process. The effectiveness of the proposed method is illustrated by a numerical example.
【作者单位】： 东北大学流程工业综合自动化国家重点实验室;
【基金】：国家自然科学基金资助项目(61573090)
【分类号】：O231
，
本文编号：2389125
[Abstract]:The dynamic model of industrial operation process consists of two parts: the dynamic model of the controlled object in the underlying equipment layer and the dynamic model of the production process in the upper layer. An optimal decoupling control method based on data sampling is proposed for a class of strongly coupled industrial processes. The control problem based on data sampling is transformed into the stability problem of time-varying time-delay systems in the underlying device layer. Based on the Lyapunov-Krasovskii function, the parameters of the state feedback controller based on data sampling are given. The dynamic model of the upper layer is a hybrid model with both continuous and discrete signals, so in the upper layer, the hybrid model is discretized first. Then an optimal decoupling controller is designed by combining decoupling control with optimal tracking control for the discrete generalized model of running process. The effectiveness of the proposed method is illustrated by a numerical example.
【作者单位】： 东北大学流程工业综合自动化国家重点实验室;
【基金】：国家自然科学基金资助项目(61573090)
【分类号】：O231
，
本文编号：2389125
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