Open AccessPrediction governors: Optimal solutions and application to electric power balancing control
Author(s) -
Minami Yuki,
Azuma Shunichi
Publication year - 2021
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12129
Subject(s) - control theory (sociology) , governor , control engineering , optimal control , electric power system , signal (programming language) , computer science , transient (computer programming) , microgrid , control system , power (physics) , control (management) , tracking error , engineering , mathematical optimization , artificial intelligence , mathematics , physics , electrical engineering , quantum mechanics , programming language , aerospace engineering , operating system
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.