Fuzzy Control of Fin Stabilizer at Zero Speed Based on Improved Genetic Algorithm
Xiaofei Zhang1, Hongzhang Jin
1College of Automation, Harbin Engineering University
Available Online October 2007.
- 10.2991/iske.2007.53How to use a DOI?
- genetic algorithm; fuzzy control; fin stabilizer; zero speed; random optimization algorithm
Frequency spectrum of ocean wave is analyzed to enhance the efficiency of fin stabilizer when the intensity of wave is changing. Random optimal control system with quadratic performance index is designed based on the extended state functions. Performance index weight matrices are optimized with genetic algorithm to find the best matching point between energy consumption and effect of roll reduction. Basic genetic algorithm is improved by analyzing characteristic of the system. Random optimal control in different sea levels is realized by introducing fuzzy control rules for weight matrices. Simulation results indicate that roll movement of ship can be reduced with least energy if weight matrices are fixed according to external disturbances.
- © 2007, 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/).
Cite this article
TY - CONF AU - Xiaofei Zhang AU - Hongzhang Jin PY - 2007/10 DA - 2007/10 TI - Fuzzy Control of Fin Stabilizer at Zero Speed Based on Improved Genetic Algorithm BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 313 EP - 320 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.53 DO - 10.2991/iske.2007.53 ID - Zhang2007/10 ER -