Wave Excitation Force Prediction Methodology Based on Autoregressive Filters for Real Time Control

Md Rakib Hasan Khan, H. Bora Karayaka, Yanjun Yan, Peter Tay, Yi Hsiang Yu

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a wave excitation force prediction methodology for a slider crank power take-off system (PTOS) based on autoregressive filters. This study shows the feasibility of half period and zero crossing prediction of the irregular ocean waves to keep phase lock condition between the generator and the wave excitation force. This is critically important for unidirectional continuous rotation of the generator to maximize energy extraction. Results from the prediction with different filter orders are analyzed to accommodate real time processing requirements. It has been shown that 10th order filter provides the good compromise of accuracy and timely processing.

原文English
主出版物標題2019 IEEE Green Technologies Conference, GreenTech 2019
發行者IEEE Computer Society
ISBN(電子)9781728114576
DOIs
出版狀態Published - 4月 2019
事件2019 IEEE Green Technologies Conference, GreenTech 2019 - Lafayette, United States
持續時間: 3 4月 20196 4月 2019

出版系列

名字IEEE Green Technologies Conference
2019-April
ISSN(電子)2166-5478

Conference

Conference2019 IEEE Green Technologies Conference, GreenTech 2019
國家/地區United States
城市Lafayette
期間3/04/196/04/19

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