Sistema Inteligente de apoyo a maniobras de grandes buques en puertos

  1. Graciliano Nicolás Marichal Plasencia 1
  2. Ángela Hernández López 1
  3. J.A. Rojas 1
  4. Enrique Melón Rodríguez 1
  5. José Ángel Rodríguez Hernández 1
  6. Isidro Padrón Armas 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    GRID grid.10041.34

Journal:
Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7912

Year of publication: 2016

Volume: 13

Issue: 3

Pages: 304-309

Type: Article

Export: RIS
DOI: 10.1016/j.riai.2016.03.005 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Metrics

JCR (Journal Impact Factor)

  • Year 2016
  • Journal Impact Factor: 0.5
  • Best Quartile: Q4
  • Area: AUTOMATION & CONTROL SYSTEMS Quartile: Q4 Rank in area: 57/60 (Ranking edition: SCIE)
  • Area: ROBOTICS Quartile: Q4 Rank in area: 25/26 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2016
  • SJR Journal Impact: 0.258
  • Best Quartile: Q2
  • Area: Computer Science (miscellaneous) Quartile: Q2 Rank in area: 148/595
  • Area: Control and Systems Engineering Quartile: Q3 Rank in area: 193/1024

CiteScore

  • Year 2016
  • CiteScore of the Journal : 1.1
  • Area: Computer Science (all) Percentile: 43
  • Area: Control and Systems Engineering Percentile: 32

Abstract

An assistant onboard system is proposed in order to provide help to the captain. It is a Genetic Neuro-Fuzzy system which is able to advices about how the maneuver should be done depending on each particular situation. Particularly the casting-off is taking into account. In this way, the obstacles situated around the vessel like others boats or the port structures are considered when the maneuver is in process. Depending on the distances the system provides adequate values to the three control parameters: angle turn of tiller, principal engine power and lateral engine power.