Study on the Cutter Suction Dredgers Productivity Model and Its Optimal Control

DOI

10.2991/msota-16.2016.19How to use a DOI?

Keywords

cutter suction dredger; non-linear productivity optimization model; Lagrangian

Abstract

This Controlling the yield of cutter suction dredger is a hot spot for researchers at home and abroad, however, there is few strict mathematical models proving the existing research results, and most of the results are qualitative. In order to optimize the value of dredgers main control variables, this paper puts forward a non-linear productivity optimization model based on Lagrangian Algorithm. Taking Tianshi-Caofeidian project as an example, this paper provides the optimal value ranges of dredgers main control variables and also proves some existing experimental conclusions. After comparing experimental control values with this papers results, the experimental control values are supposed to be increased, and this result can be used for practical engineering.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Minghong Yao
AU  - Yanling Wang
AU  - Jing Shang
AU  - Jianyong Zhang
PY  - 2016/12
DA  - 2016/12
TI  - Study on the Cutter Suction Dredgers Productivity Model and Its Optimal Control
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 81
EP  - 85
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.19
DO  - 10.2991/msota-16.2016.19
ID  - Yao2016/12
ER  -