Improving the method of controlling the search for surface and underwater objects by a hybrid robotic complex

O.V. Levchenko, M.V. Borina
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Abstract

One of the important scientific tasks of organising the control of searching for surface and underwater objects is to ensure the efficiency and trouble-free movement of a hybrid robotic complex in the modes of transition and search operation. An analysis of modern methods of controlling the search for surface and underwater objects by robotic vehicles in search operations, scientific and environmental research, monitoring, inspection and military underwater operations shows the need to use hybrid robotic systems. As part of the intellectualisation of the route planning process, it is relevant to solve the problem of synthesising an optimal trajectory to ensure that the search is carried out in all designated areas of the operation. The paper solves the problem of organising the management of searching for surface and underwater objects by a hybrid robotic complex, namely, building a route in the area of interest as an optimal spline trajectory of a moving object. The possibility of constructing a navigation function through the effective use of the curvature of the spline trajectory as a reproductive template for constructing an axonometric projection is determined. To accomplish this task, the paper improves the method of controlling the search for surface and underwater objects by a hybrid robotic complex by formalising the processes of planning the route of the hybrid robotic complex and the processes of information processing, forecasting the navigation situation and choosing a strategy for preventing dangerous situations by combining intelligent and numerical methods. The developed algorithm for constructing a search route for a hybrid robotic complex allows automated formation of spline trajectories in real time with synchronous submission of information about the parameters of the route to the control system of the hybrid robotic complex. This approach makes it possible to automate the search operation process and apply it in the CoCoRo and e-Navigation concepts
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改进了混合机器人对水面和水下目标搜索的控制方法
保证混合机器人综合体在过渡模式和搜索模式下的效率和无故障运动是组织水面和水下目标搜索控制的重要科学任务之一。通过对搜索行动、科学和环境研究、监测、检查和军事水下行动中控制机器人车辆搜索水面和水下物体的现代方法的分析,表明需要使用混合机器人系统。作为路线规划过程智能化的一部分,解决综合最佳轨迹的问题是相关的,以确保在行动的所有指定区域进行搜索。本文解决了混合机器人综合体对水面和水下目标搜索的组织管理问题,即在目标区域建立一条路径作为运动目标的最优样条轨迹。通过有效地利用样条轨迹的曲率作为构造轴测投影的再生模板,确定了构造导航函数的可能性。为了完成这一任务,本文改进了混合机器人综合体对水面和水下目标的搜索控制方法,将混合机器人综合体的路线规划过程和信息处理过程形式化,并将智能方法和数值方法相结合,预测导航情况和选择预防危险情况的策略。所开发的混合机器人综合体搜索路径构建算法能够实时自动生成样条轨迹,并将路径参数信息同步提交给混合机器人综合体的控制系统。这种方法使自动搜索操作过程成为可能,并将其应用于CoCoRo和e-Navigation概念
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