Abstract:
In this paper, a new adaptive fuzzy controller is proposed for the dynamic positioning system of vessels with unknown time-varying dynamic model parameters and environmen...Show MoreMetadata
Abstract:
In this paper, a new adaptive fuzzy controller is proposed for the dynamic positioning system of vessels with unknown time-varying dynamic model parameters and environmental disturbances. This controller comprises of an adaptive fuzzy logic and the dynamic surface control (DSC) technique. The adaptive fuzzy system is used to estimate the uncertainties induced by unknown dynamic model parameters and disturbances. By using the DSC technique, the proposed controller can reduce the computational complexity. The proposed adaptive fuzzy positioning controller can keep the vessel at the desired positions and heading, while making all signals of the closed-loop positioning system within the uniform ultimate boundedness. The effectiveness of the proposed controller is demonstrated through simulations for a floating production storage and offloading vessel.
Published in: 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
Date of Conference: 21-23 November 2017
Date Added to IEEE Xplore: 18 December 2017
ISBN Information: