Ship autopilots are usually designed based on the PD and PID controllers because of simplicity, reliability and easy to construct. However their performance in various environmental conditions is not as good as desired. This advantage can be overcome by adjusting works or constructing adaptive controllers. But those methods are complex and not easy. This paper presents a new method for constructing ship autopilots based on combination of fuzzy logic control and linear control. The new ship autopilot has the advantages of both the PID and FLC control methodologies: easy to construct, optimal control laws can be established based on ship masters knowledge. Therefore, the new ship autopilot can be well adapted with parameter variations and strong environment effects. Simulation using MATLAB software for a ship with real parameters in course keeping and course changing maneuvers shows high effectiveness of the new autopilot in comparison with ordinary PID ship autopilots.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A new and effective fuzzy PID autopilot for ships


    Contributors:


    Publication date :

    2003


    Size :

    5 Seiten, 12 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    An autopilot for ships designed with fuzzy sets

    Amerongen, J. van / Nauta Lemke, H.R. van / Veen, J.C. van der | Tema Archive | 1977


    Fuzzy Autopilot for Ships Experiencing Shallow Water Effect in Manoeuvering

    Vukic, Z. / Omerdic, E. / Kuljaca, L. et al. | British Library Conference Proceedings | 1997


    A new nonlinear adaptive autopilot for ships

    Selkaeinaho, J. / International Federation of Automatic Control | British Library Conference Proceedings | 1992


    High Precision Autopilot Design for Small Ships

    Loeb, H. / Ygorra, S. / Monsion, M. et al. | British Library Conference Proceedings | 1996


    A model-reference neural autopilot for ships

    Zirilli, A. G. M. / Roberts, G. N. / Tiano, A. et al. | British Library Conference Proceedings | 1999