浮力
水下滑翔机
船体
中性浮力
补偿(心理学)
海洋工程
理论(学习稳定性)
海水
水下
计算机科学
控制理论(社会学)
环境科学
地质学
工程类
海洋学
机械
人工智能
物理
控制(管理)
机器学习
精神分析
心理学
作者
Xudong Xie,Yanhui Wang,Song Yang,Shaoqiong Yang,Chenyi Luo,Jun Chen
出处
期刊:Global Oceans 2020: Singapore – U.S. Gulf Coast
日期:2020-10-05
被引量:1
标识
DOI:10.1109/ieeeconf38699.2020.9389000
摘要
The variation of seawater density and hull deformation will affect the driven buoyancy of deep-sea gliders, resulting in unstable motion. This paper established a novel hybrid passive buoyancy compensation system based on three standalone systems in order to reduce the buoyancy change. To improve the performance, the genetic algorithm (GA) is introduced to optimize the design parameters of the novel system. Results from the simulation show that the buoyancy change is appreciably reduced by using the novel system, which is important to improve the endurance and stability of deep-sea underwater gliders.
科研通智能强力驱动
Strongly Powered by AbleSci AI