Analysis of the controllers of the vessel course control systems in difficult navigation conditions

Vladimir V. Ignatyev; Viktor V. Soloviev; Alexandra S. Ignatyeva; Anton S. Boldyreff

doi:10.1117/12.2554412

Translator Disclaimer

7 October 2019 Analysis of the controllers of the vessel course control systems in difficult navigation conditions

Vladimir V. Ignatyev, Viktor V. Soloviev, Alexandra S. Ignatyeva, Anton S. Boldyreff

Author Affiliations +

Proceedings Volume 11169, Artificial Intelligence and Machine Learning in Defense Applications; 111690U (2019) https://doi.org/10.1117/12.2554412
Event: SPIE Security + Defence, 2019, Strasbourg, France

Abstract

The article presents a comparison of a few controllers of the vessel's course. The mathematical model of the vessel was set as a transfer function with variable coefficients, which depend on vessel speed. We compared a classic PID controller, a PID controller with self-adjusting coefficients, an adaptive controller with implicit reference model, and an adaptive fuzzy controller. In the result of comparison the adaptive fuzzy controller demonstrated the best quality indicators in comparison with other controllers by set of criteria that allows to recommend this controller for implementation in the vessel's course control systems.

Citation Download Citation

Vladimir V. Ignatyev, Viktor V. Soloviev, Alexandra S. Ignatyeva, and Anton S. Boldyreff "Analysis of the controllers of the vessel course control systems in difficult navigation conditions", Proc. SPIE 11169, Artificial Intelligence and Machine Learning in Defense Applications, 111690U (7 October 2019); https://doi.org/10.1117/12.2554412

ACCESS THE FULL ARTICLE