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Formation Control of Unmanned Surface Vehicles with Sensing Constraints Using Exponential Remapping Method

机译:使用指数重新映射方法形成具有感测约束的无人面车辆的形成控制

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摘要

This paper presents a formation control strategy for unmanned surface vehicles (USVs) with sensing constraints moving in a leader-follower formation. Each USV is assumed to be equipped with a vision-based sensor, which is able to get the line-of-sight (LOS) range and bearing information. Most existing literature assumes that the USVs in formation control are with no sensing limitations or with 360-degree sensing fields; however, in our research, the vision-based sensor’s capability is restricted due to limited Field of View (FOV) and visual range. We consider that each USV in formation problem is equipped with a sector-like sensing field sensor for the leader-follower formation in two-dimensional space. The formation controller is developed by employing backstepping control technique and exponential remapping. The backstepping controller is designed to stabilize the triangular formation of three USVs, and the proposed exponential remapping method is to deal with the sector-like sensing constraint problem. Comparative analysis with three exponential remapping methods using numerical simulations is given to demonstrate the effectiveness of the proposed method.
机译:本文介绍了一种无人驾驶车辆表面(USVs)与感测约束的领导者跟随形成移动的地层控制策略。假设每个USV要配备一个基于视觉的传感器,其能够获得线的视距(LOS)距离和方位的信息。大多数现有的文献假定在形成控制的USVs是没有感测限制或以360度的感测场;然而,在我们的研究中,基于视觉的传感器的能力,由于视场限制(FOV)和可视范围的限制。我们认为,在形成问题每个USV在二维空间配备了领导者 - 追随者形成扇形的感应磁场传感器。形成控制器通过采用反演控制技术和指数重新映射显影。反推控制器被设计来稳定三个USVs三角的形成和提出的指数重映射方法来处理扇形的传感约束问题。使用数值模拟三次指数重映射方法的比较分析,验证了该方法的有效性。

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