首页> 外文会议>OCEANS 2016 MTS/IEEE Monterey >Tracking control of underwater gliders in ocean mesoscale eddies observation task
【24h】

Tracking control of underwater gliders in ocean mesoscale eddies observation task

机译:海洋中尺度涡旋观测任务中水下滑翔机的跟踪控制

获取原文
获取原文并翻译 | 示例

摘要

Transports of heat, fresh water and other things in the ocean have huge effect on the globe climate and resource distribution. Mesoscale eddies play such an important role in the transport process that many researchers want to study the interior structure of ocean mesoscale eddies. However, the eddy is still greatly under observation since the traditional method cannot accomplish persistent and maneuvering observation task result from the expensive cost and limitation of instruments. Underwater gliders which are cost-efficient and have relative high level of maneuverability compared with traditional method, can be implemented in this kind of observation task. Because the eddy system shifts and changes in the ocean unceasingly, one cannot apply the traditional path following control algorithm to follow a path that is defined in the coordinate system with eddy center being the origin. A framework of ocean mesoscale eddies observation system is established in the paper. The cost function for sampling path plan based on the demand of marine scientists is developed. Since the translation of eddies can be essentially treated as movement of inertial object, in this paper the Kalman filter with current statistical model is utilized to predict the shift of the eddy center. Finally a simulation system is established to validate the efficiency and feasibility of this algorithm.
机译:海洋中的热量,淡水和其他物质的运输对全球气候和资源分配产生巨大影响。中尺度涡旋在运输过程中起着举足轻重的作用,以至于许多研究人员希望研究海洋中尺度涡旋的内部结构。然而,由于传统方法由于昂贵的成本和仪器的局限性而无法实现持续且机动的观测任务,因此涡流仍处于极大的观测之中。与传统方法相比,成本低廉且具有较高机动性的水下滑翔机可用于这种观测任务。由于涡流系统不断地在海洋中移动和变化,因此无法应用传统的路径跟踪控制算法来跟踪以涡流中心为原点的坐标系中定义的路径。建立了海洋中尺度涡流观测系统框架。开发了基于海洋科学家需求的采样路径计划成本函数。由于涡流的平移基本上可以看作是惯性物体的运动,因此本文采用具有当前统计模型的卡尔曼滤波器来预测涡流中心的移动。最后建立了一个仿真系统,以验证该算法的有效性和可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号