Parameter optimisation of a non-linear tanker control system using genetic algorithms

McGookin, E.W. , Murray-Smith, D.J., Li, Y. and Fossen, T.I. (1997) Parameter optimisation of a non-linear tanker control system using genetic algorithms. In: Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA 97), Glasgow, UK, 2-4 Sep 1997, pp. 37-42. (doi: 10.1049/cp:19971152)

Abstract

The optimisation of a non-linear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a fully autonomous control system for regulating the course keeping manoeuvres of an oil tanker. This control system consists of an autopilot and a sliding mode controller (SMC). The GA is used to optimise the performance of the complete system by optimising the parameters of the SMC.

• Item Type: Conference Proceedings
• Additional Information: IEE Conference Publication 446
• Keywords: Control, non-linear, genetic algorithm, optimisation, oil tanker model, sliding mode control
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: McGookin, Dr Euan and Murray-Smith, Professor David and Li, Professor Yun
• Authors: McGookin, E.W., Murray-Smith, D.J., Li, Y., and Fossen, T.I.
• Subjects: T Technology > TJ Mechanical engineering and machinery; T Technology > TK Electrical engineering. Electronics Nuclear engineering; V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Systems Power and Energy