Hybrid Intelligent Control for Submarine Stabilization. (2nd May 2013)

• Record Type: Journal Article
• Authors: Wang, Minghui; Yu, Yongquan; Zeng, Bi; Lin, Wei
• Is Part Of: International journal of advanced robotic systems. Volume 10:Number 5(2013)
• Publication Date: 2013-05-02
• Subjects: Hybrid Intelligent -- Neuro-Fuzzy Control -- Extension Control -- Rudder Roll Stabilization -- Submarine; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.5772/56392
• Languages: English
• ISSNs: 1729-8806

Abstract

Abstract 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.