Non-linear tanker control system parameter optimization using genetic algorithms

E. W. McGookin, D. J. Murray-Smith, Yun Li, T. I. Fossen

Research output: Contribution to journalArticle

Abstract

The optimization of a non-linear control problem by Genetic Algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding Mode (SM) control theory is used to define the structure of this controller and the GA is used to optimize key control parameters so that satisfactory performance is obtained.

Original languageEnglish
Pages (from-to)17-22
Number of pages6
JournalOceans Conference Record (IEEE)
Volume1
Publication statusPublished - 1 Dec 1997

Keywords

  • ships
  • nonlinear control systems
  • control system synthesis
  • optimal control
  • genetic algorithms
  • variable structure systems

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  • Cite this

    McGookin, E. W., Murray-Smith, D. J., Li, Y., & Fossen, T. I. (1997). Non-linear tanker control system parameter optimization using genetic algorithms. Oceans Conference Record (IEEE), 1, 17-22.