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An intelligent recoil controller for riser system based on fuzzy control theory

  • Published:2022 Issue: Volume:14 Page:100439
  • ISSN:2092-6782
  • Container-title:International Journal of Naval Architecture and Ocean Engineering
  • language:en
  • Short-container-title:International Journal of Naval Architecture and Ocean Engineering

Author:

Liu Xiuquan,Liu Zhaowei,Wang Xianglei,Qiu Na,Zhang Nan,Chang Yuanjiang,Chen Guoming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Ocean Engineering,Control and Systems Engineering

Reference40 articles.

1. Failure probability analysis for emergency disconnect of deepwater drilling riser using Bayesian network;Chang;J. Loss Prev. Proc.,2018

2. Study on key performance parameters of hydro-pneumatic tensioner for top tensioned riser;Chen;Appl. Ocean Res.,2019

3. A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: designing interpretable genetic fuzzy systems;Cordón;Int. J. Approx. Reason.,2011

4. Modelling of marine riser tensioner load variations and implications for minimum top tension settings in drilling risers;Gallagher,2012

5. Methodology for disconnection analysis of CWO risers in random seas;Grytoyr,2009

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