Promotie A. Haseltalab: elektrische schepen (1)
03 december 2019 15:00 - Locatie: Aula, TU Delft - Door: webredactie
Control for Autonomous All-Electric Ships. Promotor 1: Prof.dr. R.R. Negenborn (3mE); Promotor 2: Prof.ir. J.J. Hopman (3mE).
In the last few years, autonomous shipping has been under extensive consideration by academic and industrial communities as well as governmental organizations due to several potential advantages that it introduces. Furthermore, due to the drastic environmental consequences of transport over water, international organizations have enforced the shipping industry to reduce its emissions significantly. As a result, the emergence of sustainable autonomous shipping seems inevitable. This dissertation aims at taking a step towards enabling autonomous ships with maximized fuel efficiency by proposing novel approaches for maneuvering, energy management, and power generation control. In the literature, these three problems have been studied independently from one another, while they are closely connected. Throughout this dissertation, a framework is proposed that does integrate maneuvering, energy management, and power generation control. The focus of this research work is on all-electric power and propulsion systems where the energy sources and propulsive actuators are connected through an electrical network. In this dissertation, after state space modeling of all-electric ships, an adaptive control approach is proposed to steer the ship towards its desired trajectory in the presence of uncertainties. Moreover, a model predictive maneuvering control approach is proposed for constraint handling and prediction of future required propulsive power. Then, an energy management scheme is presented which utilizes the predicted future propulsive power to enable optimal engine loading. To guarantee the stability of the power and propulsion system, different approaches are proposed for power generation control. Numerous simulation experiments are presented to evaluate the performance of the proposed approaches. The experiment results indicate that using the presented novel approaches trajectory tracking error decreases, fuel efficiency increases, and the power system stability is guaranteed.
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