力矩(物理)
计算机科学
控制系统
功率(物理)
能量(信号处理)
波能转换器
机器人学
控制工程
控制(管理)
代表(政治)
控制理论(社会学)
人工智能
工程类
电气工程
数学
机器人
物理
统计
经典力学
量子力学
政治
法学
政治学
作者
Nicolás Faedo,John V. Ringwood
出处
期刊:Annual review of control, robotics, and autonomous systems
[Annual Reviews]
日期:2023-11-14
卷期号:7 (1)
标识
DOI:10.1146/annurev-control-070523-115155
摘要
The control of wave energy converters (WECs) to maximize power capture is a challenging problem. In particular, the nature of the wave excitation, which is in general panchromatic (or multi-sinusoidal), presents a reciprocating energy source that needs to be rectified through some means. In addition, the development of suitable control-oriented models is also challenging, requiring correct representation of system hydrodynamics and power take-off (PTO) components, while also lending themselves to control synthesis and real-time computational performance, along with a challenging optimal control problem. This article presents a moment-based mathematical framework for the formulation and solution of WEC control. It shows that moments are ideally suited to WEC control in terms of their ability to accurately characterize the nature of the wave excitation force (and the consequent evolutions in the system variables) while also gracefully including hydrodynamic and PTO nonlinearities as well as a natural extension to WEC arrays. Model reduction, to mold the system model into a control-friendly form, is also a feature of this framework. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 7 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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