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Multi-model predictive control method for nuclear steam generator water level

机译:核蒸汽发生器水位的多模型预测控制方法

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摘要

The dynamics of a nuclear steam generator (SG) is very different according to the power levels and changes as time goes on. Therefore, it is an intractable as well as challenging task to improve the water level control system of the SG. In this paper, a robust model predictive control (RMPC) method is developed for the level control problem. Based on a multi-model framework, a combination of a local nominal model with a polytopic uncertain linear parameter varying (LPV) model is built to approximate the system's non-linear behavior. The optimization problem solved here is based on a receding horizon scheme involving the linear matrix inequality (LMI) technique. Closed loop stability and constraints satisfaction in the entire operating range are guaranteed by the feasibility of the optimization problem. Finally, simulation results show the effectiveness and the good performance of the proposed method.
机译:核蒸汽发生器(SG)的动力因功率水平而异,并且随着时间的流逝而变化。因此,改进SG的水位控制系统是一项既艰巨又具有挑战性的任务。本文针对液位控制问题,提出了一种鲁棒的模型预测控制(RMPC)方法。基于多模型框架,建立了局部标称模型与多目标不确定线性参数变化(LPV)模型的组合,以近似系统的非线性行为。此处解决的优化问题基于涉及线性矩阵不等式(LMI)技术的后视方案。优化问题的可行性保证了在整个工作范围内的闭环稳定性和约束满足。最后,仿真结果表明了该方法的有效性和良好的性能。

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