On rudder-roll stabilization autopilot based on response models
This study proposes a rudder-roll stabilization (RRS) autopilot by using novel response models developed by Yasukawa and Yoshimura (YY models) since they include the roll-coupling effect. The statistical optimal control theory which used Akaike information criterion (AIC) was used. To verify the pro...
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Veröffentlicht in: | Ocean engineering 2023-03, Vol.272, p.113869, Article 113869 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This study proposes a rudder-roll stabilization (RRS) autopilot by using novel response models developed by Yasukawa and Yoshimura (YY models) since they include the roll-coupling effect. The statistical optimal control theory which used Akaike information criterion (AIC) was used. To verify the proposed RRS autopilot, numerical simulations based were also performed on the onboard monitoring data of a fishery research vessel; the results confirmed its effectiveness for course keeping and roll reduction.
•New response models including the roll-coupling effect are used in an RRS autopilot.•The proposed system is validated based on onboard monitoring data.•The system effectiveness is discussed in terms of course deviation and roll angle. |
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ISSN: | 0029-8018 |
DOI: | 10.1016/j.oceaneng.2023.113869 |