一个改进的基因算法用于USV的恢复系统,基于Stern Ramp,考虑到电流的影响
Lulu Zhou1, Xiaoming Ye1, Zehao Huang2
1School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
这项研究引入了一个新的系统,用于恢复无人驾驶表面车辆 (USV),使用尾部道恢复. 它通过建模海上干扰和使用先进的算法来提高效率和准确性.
科学领域:
- 海洋机器人 海洋机器人
- 自主系统工程 自主系统工程
背景情况:
- 无人驾驶水面车辆 (USV) 在海洋勘探和开发方面越来越重要.
- 美国空中飞行器的船尾道恢复是不发达的,在态度控制和自动化方面面临挑战.
- 有限的研究解决了USV恢复系统中的真实世界的海上干扰.
研究的目的:
- 开发和建造一套新的USV船尾坡道恢复系统.
- 提高USV恢复操作的效率和准确性.
- 解决海上干扰对USV恢复的影响.
主要方法:
- 在海上USV上的干扰力物理建模.
- 在导航模块中实现一个优化的遗传算法.
- 应用基于平均速度的视线 (LOS) 算法.
主要成果:
- 通过干扰力建模,提高恢复系统的实用性.
- 通过优化的遗传算法提高恢复效率,并提高了融合率.
- 成功地实现了独特的态度要求,并提高了后滑板回收效率.
结论:
- 开发的USV硬件系统和恢复策略为船尾坡道恢复提供了一个新的解决方案.
- 模拟和实践实验验证了拟议的回收系统的有效性.
- 这项研究在自动驾驶海上车辆恢复技术方面取得了重大进展.
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