Prediction governors: Optimal solutions and application to electric power balancing control
Prediction governors: Optimal solutions and application to electric power balancing control
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DOI：
10.1049/cth2.12129
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发表时间：
2021-03-28
影响因子：
2.6
通讯作者：
Azuma，Shun-ichi
中科院分区：
文献类型：
--
作者：
Minami，Yuki;Azuma，Shun-ichi
具有预测参考信号的跟踪控制一直是工程师和研究人员关注的问题之一。该控制问题在电力控制系统、自动驾驶系统等领域有着广泛的应用，但预测信号跟踪控制的难点在于预测误差会导致控制系统性能下降。本文的目的是成形预测信号的基础上的可靠参考信号和系统动态信息的过去信息，以减少预测误差所造成的性能下降。首先，提出了一种称为预测调节器的信号整形机制，并建立了其优化设计问题的数学模型。然后，解析地推导出设计问题的最优解，并阐明了预测调速器的性能极限。所提出的最优预测调速器是为给定的控制系统量身定制的。通过将其添加到控制系统中，可以最小化由给定预测工具生成的预测误差的影响。最后，通过一个微电网系统的电力平衡控制问题，说明了所提出的最优预测调速器的有用性。
One of the control problems drawing engineers' and researchers' attention is the tracking control with predicted reference signals. The applications of this control problem are found in electric power control systems, automatic driving systems, and so on. The difficulty of the tracking control with the predicted signal is that the prediction errors lead to performance degradation of control systems. This paper aims to shape the predicted signals based on past information of reliable reference signal and system dynamics information to reduce the performance degradation caused by prediction errors. First, a signal shaping mechanism called prediction governor was proposed, and its optimal design problem was formulated. Then, an optimal solution for the design problem was analytically derived and the performance limitation of the prediction governor was clarified. The proposed optimal prediction governor is tailor‐made for a given control system. By adding it to the control system, the influence of the prediction error generated by a given prediction tool can be minimised. Finally, the usefulness of the proposed optimal prediction governor was illustrated through an electric power balancing control problem with a microgrid system.