一种能源最大化的MPC解决方案,用于WEC控制竞赛

P. Tona, G. Sabiron, Hoai‐Nam Nguyen
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引用次数: 12

摘要

WEC控制竞赛是一个基准,旨在比较波浪能转换器的能量最大化控制器,首先是模拟,然后是实时,在水箱测试情况下使用比例装置。在第一轮比赛中,评审员提供了一个类似wavestar的设备的腿的模型,在WEC-Sim模拟环境中进行。评价是基于对六个不规则波计算的能量相关准则。IFPEN的解决方案是一种能量最大化模型预测控制(MPC),由波浪激励力力矩的估计算法组成,使用浮子位移、速度和PTO力矩的测量(或估计);从现在和过去的波浪激励力估计中预测短期波浪力的算法,其中不使用波浪高度的信息;采用波浪力预测的实时兼容MPC算法,在考虑非线性PTO效率规律的情况下,最大限度地提高平均发电量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Energy-Maximising MPC Solution to the WEC Control Competition
The WEC Control Competition is a benchmark devised to compare energy-maximising controllers for wave energy converters, first in simulation, then in real time, using a scale device in a tank test situation. For the first round of the competition, the evaluators have provided a model of a leg of a Wavestar-like device, in the WEC-Sim simulation environment. The evaluation is based on an energy-related criterion computed on six irregular waves. IFPEN’s solution is an energy-maximising model predictive control (MPC), composed of an estimation algorithm for wave excitation force moment, using measurements (or estimations) of float displacement and velocity and PTO moment; an algorithm for short-term wave force prediction from present and past wave excitation force estimates, where no information about wave elevation is used; a real-time compatible MPC algorithm using wave force prediction, which maximises the average produced electric energy, taking into account the nonlinear PTO efficiency law.
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