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