Integrated Motion Planning, Control, and Estimation for Range-Based Marine Vehicle Positioning and Target Localization

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• 作者：D. Moreno-Salinas^* ; ^{dmoreno@dia.uned.es" class="auth_mail" title="E-mail the corresponding author} ; N. Crasta^** ; ^{ncrasta@isr.tecnico.ulisboa.pt" class="auth_mail" title="E-mail the corresponding author} ; M. Ribeiro^** ; ^{miguel.silva.ribeiro@isr.tecnico.ulisboa.pt" class="auth_mail" title="E-mail the corresponding author} ; B. Bayat^*** ; ^{behzad.bayat@epfl.ch" class="auth_mail" title="E-mail the corresponding author} ; A.M. Pascoal^** ; ^{antonio@isr.tecnico.ulisboa.pt" class="auth_mail" title="E-mail the corresponding author} ; J. Aranda^* ; ^{jaranda@dia.uned.es" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Underwater range-based navigation ; Single-beacon localization ; Trajectory optimization ; Fisher information matrix
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：23
• 页码：34-40
• 全文大小：1125 K

文摘

The paper addresses the problems of range-based marine vehicle positioning and target localization. Vehicle positioning aims to estimate the positions of one or more vehicles from a sequence of range measurements to fixed or moving acoustic beacons with known locations. In this context, the vehicles must execute sufficiently exciting maneuvers so as to maximize the range-based information available for multiple vehicle positioning. Using an estimation theoretical setting, the vehicle trajectories are computed by maximizing the determinant of a suitably defined Fisher information matrix (FIM), subject to inter-vehicle collision avoidance and vehicle maneuvering constraints. A numerical solution is proposed for the general case. Analytical solutions are obtained in the case of one vehicle and one beacon, when the latter undergoes trajectories that are straight lines, pieces of arcs, or a combination thereof. The theoretical analysis is complemented with practical experiments that focus on the dual problem of underwater target localization. The objective is to estimate the position of a moving underwater target by using range measurements between the target and a vehicle, called a tracker, undergoing a trajectory that can be measured on-line. The experimental set-up includes a surface and an autonomous underwater vehicle of the MEDUSA^*-class playing the roles of tracker and target, respectively. In the methodology adopted for system implementation the tracker runs three key algorithms simultaneously, over a sliding time window: i) tracker motion planning, ii) tracker motion control, and iii) target motion estimation based on range data acquired on-line.