Hybrid Intelligent Control for Submarine Stabilization

作者：Wang, Minghui^*; Yu, Yongquan; Zeng, Bi; Lin, Wei

来源：International Journal of Advanced Robotic Systems, 2013, 10: 221.

DOI：10.5772/56392

• Hybrid Intelligent
• Neuro-Fuzzy Control
• Extension Control
• Rudder Roll Stabilization
• Submarine

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.

• 出版日期2013-5-2
• 单位广东工业大学