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Disturbance Rejection Model Predictive Control of Ultra-Supercritical Once-Through Boiler-Turbine Unit

机译:超超临界直流锅炉汽轮机的扰动抑制模型预测控制

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T0633. To overcome this issue, this paper proposes the extended state observer based disturbance rejection model predictive control for the boiler-turbine unit. State space model is firstly established on the basis of subspace identification. To enhance the disturbance rejection property of the controller, the technique of extended state observer is employed to estimate the unknown disturbances. The disturbance estimation based model predictive controller is then devised. The observer gain is designed using a less conservative linear matrix inequality, which will accelerate the convergence speed of estimation error. The effectiveness of the proposed controller is illustrated by simulations.
机译:T0633。为了克服这个问题,本文提出了一种基于扩展状态观测器的汽轮机机组扰动抑制模型预测控制。首先在子空间识别的基础上建立状态空间模型。为了增强控制器的抗干扰性能,采用扩展状态观察器技术来估计未知干扰。然后设计了基于干扰估计的模型预测控制器。使用不太保守的线性矩阵不等式设计观察者增益,这将加快估计误差的收敛速度。仿真结果表明了所提出控制器的有效性。

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