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一个基于杜宾的轨迹规划的动力学模型,用于精确的收获
Weiyu Chen1, Chiao-Yi Wang1, Kaustubh Joshi2
1Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
这项研究引入了养殖的新混合型船舶模型,改进了路径规划并减少了对环境的影响. 这项创新使得可持续采集作业的精确导航成为可能.
科学领域:
- 海洋生物学 海洋生物学
- 机器人和自动化 机器人和自动化
- 海军建筑 海军建筑
背景情况:
- 由于缺乏精确的路径规划工具,美国的鱼水产养殖受到了效率低下的困扰.
- 目前的疏方法造成不必要的海底干扰和低效的贝分布.
- 现有的船只模型没有直接将方向输入与空间坐标联系起来,从而在未精确的船只的机动规划中造成差距.
研究的目的:
- 解决养殖水产养殖中低值船只机动规划方面的研究缺口.
- 开发一种新的混合船舶动力学模型,用于精确的路径规划.
- 为了实现收获的实时,限制意识的自动化.
主要方法:
- 开发了一种混合船舶动力学模型,将诺莫托模型与杜宾的运动原始体集成在一起.
- 直接将方向盘输入与船只运动联系起来,以生成笛卡尔坐标路径.
- 在切萨皮克湾进行了实地试验,以验证性能后的轨迹.
主要成果:
- 通过各种复杂的路径实现了一致的轨迹.
- 证明了低平均轨迹偏移:0.01米,1.35米和0.42米.
- 在现实水产养殖条件下验证了模型的有效性.
结论:
- 这种新的混合型号成功地弥合了低价船只在机动规划方面的差距.
- 这项研究为自动化收获提供了可扩展和高效的解决方案.
- 这些发现对通过自动化推进可持续水产养殖实践具有重大意义.
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