Open AccessHybrid Intelligent Control for Submarine Stabilization
Author(s) -
Minghui Wang,
Yongquan Yang,
Bi Zeng,
Wei Lin
Publication year - 2013
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/56392
Subject(s) - computer science , robustness (evolution) , control theory (sociology) , fuzzy control system , fuzzy logic , control engineering , intelligent control , controller (irrigation) , control system , motion control , submarine , control (management) , artificial intelligence , robot , engineering , marine engineering , agronomy , biochemistry , chemistry , electrical engineering , biology , gene
While sailing near the sea surface, submarines will often undergo rolling motion caused by wave disturbance. Fierce rolling motion seriously affects their normal operation and even threatens their security. We propose a new control method for roll stabilization. This paper studies hybrid intelligent control combining a fuzzy control, a neural network and extension control technology. Every control strategy can achieve the ideal control effect within the scope of its effective control. The neuro‐fuzzy control strategy is used to improve the robustness of the controller. The speed control strategy and the course control strategy are conducted to extend the control range. The paper also proposes the design of the controller and carries out the simulation experiment in different sea conditions. The simulation results show that the control method proposed can indeed effectively improve the control performance of submarine stabilization