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A differential flatness theory-based control approach for steam-turbine power generation units

机译:基于差平度理论的汽轮发电机组控制方法

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The article proposes flatness-based control and non-linear Kalman Filtering for power generation units comprising synchronous generators connected to steam turbines. It is shown that the dynamic model of this power system is a differentially flat one. This property signifies that all its state variables and its control inputs can be expressed as differential functions of selected state variables of it, the latter standing for the flat outputs of the system. This allows for its transformation into a linear canonical form in which the design of a feedback controller and the solution of the state estimation problem become possible. Moreover, by introducing a Kalman Filter-based disturbance observer it becomes possible to identify in real time the perturbation terms that affect the power system's model. Through the proposed flatness-based controller, fast and accurate tracking of all reference setpoints is achieved by the state vector elements of the power unit. Moreover, through the proposed Kalman Filter-based disturbances estimator the control loop is given additional robustness against modelling errors and external perturbations.
机译:这篇文章提出了用于发电单元的基于平坦度的控制和非线性卡尔曼滤波,该发电单元包括与蒸汽轮机相连的同步发电机。结果表明,该电力系统的动力学模型是一个微分平坦的模型。此属性表示其所有状态变量及其控制输入都可以表示为所选状态变量的微分函数,后者代表系统的平坦输出。这允许将其转换为线性规范形式,从而可以设计反馈控制器和解决状态估计问题。此外,通过引入基于卡尔曼滤波器的扰动观测器,可以实时识别影响电力系统模型的扰动项。通过提出的基于平坦度的控制器,通过功率单元的状态向量元素可以快速,准确地跟踪所有参考设定值。此外,通过提出的基于卡尔曼滤波器的扰动估计器,控制环具有抵抗建模误差和外部扰动的额外鲁棒性。

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