Sensors, Vol. 20, Pages 439: Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle

In this study, an adaptive iterative learning algorithm is proposed to optimize the turning parameters, which accounts for the dynamic characteristics of unmanned surface vehicles (USVs). The resulting optimal turning radius and speed are used to generate the path and speed profiles. The simulation results show that the proposed path-smoothing and speed profile design algorithms can largely increase the path-following performance, which potentially can help to improve the measurement accuracy of various activities.
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research