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 proceedingConference proceeding

4 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 languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
EditorsBruno Apolloni, Robert J. Howlett, Lakhmi Jain
Place of PublicationBerlin
PublisherSpringer
Pages284-291
Number of pages8
Volume4694 LNAI
EditionPART 3
ISBN (Electronic)978-3-540-74829-8
ISBN (Print)978-3-540-74828-1
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event11th 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 Sep 200714 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4694 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
CountryItaly
CityVietri sul Mare
Period12/09/0714/09/07

    Fingerprint

Keywords

  • Intelligent course control
  • Neural networks
  • Neural predictor
  • Time series prediction

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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). Berlin: Springer. https://doi.org/10.1007/978-3-540-74829-8_35