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Wang, Le (author), Li, Shijie (author), Liu, Jialun (author), Wu, Qing (author), Negenborn, R.R. (author)
Autonomous docking and undocking control is an important part of intelligent ship motion control. In this study, the adaptive-mutation beetle swarm prediction (AMBS-P) algorithm is used to propose a control approach for autonomous docking and undocking. Firstly, this paper introduces the principle of the AMBS-P algorithm, then the convergence...
journal article 2022
document
Wang, L. (author), Wu, Qing (author), Liu, Jialun (author), Li, Shijie (author), Negenborn, R.R. (author)
At present, with the development of waterborne transport vehicles, research on ship faces a new round of challenges in terms of intelligence and autonomy. The concept of maritime autonomous surface ships (MASS) has been put forward by the International Maritime Organization in 2017, in which MASS become the new focus of the waterborne...
journal article 2019
document
Wang, L. (author), Wu, Qing (author), Liu, Jialun (author), Li, Shijie (author), Negenborn, R.R. (author)
Intelligent motion control is one of the key technologies of ships. This paper studies the application of Adaptive Mutation Beetle Particle Swarm (AMBPS)-PID algorithm in ship motion control. Firstly, the ship MMG model is established. Then the BAS algorithm is introduced, and AMBPS algorithm is improved and designed on this basis. Secondly,...
journal article 2019