Neural network prediction of the roll motion of a ship for intelligent course control

Viorel Nicolau; Vasile Palade; Dorel Aiordachioaie; Constantin Miholca

doi:10.1007/978-3-540-74829-8_35

Neural network prediction of the roll motion of a ship for intelligent course control

Viorel Nicolau, Vasile Palade, Dorel Aiordachioaie, Constantin Miholca

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

For conventional ships, the mono-variable autopilot controls the heading of the ship in the presence of disturbances. During the heading control, there are many moments of time when the rudder command to control the yaw angle has a negative influence on roll oscillations. The prediction of the wave influence on the roll motion can be used to implement an intelligent heading control system, which is added to the mono-variable autopilot, generating only rudder commands with damping or non-increasing effects over roll movements. In this paper, aspects of roll angle and roll rate prediction using feed-forward neural networks are discussed. A neural network predictor of the roll rate, based on measured values of the roll angle, is proposed. The neural architecture is analyzed using different training data sets and noise conditions. The predictor has on-line adaptive characteristics and is working well even if both training and testing sets are affected by measurement noise.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Editors	Bruno Apolloni, Robert J. Howlett, Lakhmi Jain
Place of Publication	Berlin
Publisher	Springer
Pages	284-291
Number of pages	8
Volume	4694 LNAI
Edition	PART 3
ISBN (Electronic)	978-3-540-74829-8
ISBN (Print)	978-3-540-74828-1
DOIs	https://doi.org/10.1007/978-3-540-74829-8_35
Publication status	Published - 2007
Externally published	Yes
Event	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy Duration: 12 Sept 2007 → 14 Sept 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	4694 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Country/Territory	Italy
City	Vietri sul Mare
Period	12/09/07 → 14/09/07

Keywords

Intelligent course control
Neural networks
Neural predictor
Time series prediction

ASJC Scopus subject areas

General Biochemistry,Genetics and Molecular Biology
General Computer Science
Theoretical Computer Science

Access to Document

10.1007/978-3-540-74829-8_35

Cite this

Nicolau, V., Palade, V., Aiordachioaie, D., & Miholca, C. (2007). Neural network prediction of the roll motion of a ship for intelligent course control. In B. Apolloni, R. J. Howlett, & L. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings (PART 3 ed., Vol. 4694 LNAI, pp. 284-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4694 LNAI, No. PART 3). Springer. https://doi.org/10.1007/978-3-540-74829-8_35

Neural network prediction of the roll motion of a ship for intelligent course control. / Nicolau, Viorel; Palade, Vasile; Aiordachioaie, Dorel et al.
Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. ed. / Bruno Apolloni; Robert J. Howlett; Lakhmi Jain. Vol. 4694 LNAI PART 3. ed. Berlin: Springer, 2007. p. 284-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4694 LNAI, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Nicolau, V, Palade, V, Aiordachioaie, D & Miholca, C 2007, Neural network prediction of the roll motion of a ship for intelligent course control. in B Apolloni, RJ Howlett & L Jain (eds), Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 3 edn, vol. 4694 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 4694 LNAI, Springer, Berlin, pp. 284-291, 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007, Vietri sul Mare, Italy, 12/09/07. https://doi.org/10.1007/978-3-540-74829-8_35

Nicolau V, Palade V, Aiordachioaie D, Miholca C. Neural network prediction of the roll motion of a ship for intelligent course control. In Apolloni B, Howlett RJ, Jain L, editors, Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 3 ed. Vol. 4694 LNAI. Berlin: Springer. 2007. p. 284-291. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-540-74829-8_35

Nicolau, Viorel ; Palade, Vasile ; Aiordachioaie, Dorel et al. / Neural network prediction of the roll motion of a ship for intelligent course control. Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. editor / Bruno Apolloni ; Robert J. Howlett ; Lakhmi Jain. Vol. 4694 LNAI PART 3. ed. Berlin : Springer, 2007. pp. 284-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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abstract = "For conventional ships, the mono-variable autopilot controls the heading of the ship in the presence of disturbances. During the heading control, there are many moments of time when the rudder command to control the yaw angle has a negative influence on roll oscillations. The prediction of the wave influence on the roll motion can be used to implement an intelligent heading control system, which is added to the mono-variable autopilot, generating only rudder commands with damping or non-increasing effects over roll movements. In this paper, aspects of roll angle and roll rate prediction using feed-forward neural networks are discussed. A neural network predictor of the roll rate, based on measured values of the roll angle, is proposed. The neural architecture is analyzed using different training data sets and noise conditions. The predictor has on-line adaptive characteristics and is working well even if both training and testing sets are affected by measurement noise.",

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Neural network prediction of the roll motion of a ship for intelligent course control

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