Research on key technologies of simulated training system for large ground control station of UAS

Liu, Changhua; Hong, Li

doi:10.1117/12.2505669

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the continuous development of technology, people have conducted research on mission planning problems at different levels. Both mission planning and autonomous task planning have been explored in depth and widely applied in various fields, such as aircraft mission planning, ground robot task planning, and ground unmanned combat command system task planning [5][6][7][8][9]. Compared with a simple planning problem, UUV mission planning research started recently, and it can learn from the more mature technology research in the fields of robots, aircraft, satellites, and so on.…”

Section: Introductionmentioning

confidence: 99%

Man-in-the-Loop Control and Mission Planning for Unmanned Underwater Vehicles

Han,

Wang,

Yuan

et al. 2024

JMSE

View full text Add to dashboard Cite

UUVs (unmanned underwater vehicles) perform tasks in the marine environment under direction from a commander through a mother ship control system. In cases where communication is available, a UUV task re-planning system was designed to ensure task completion despite uncertain events faced by UUVs. First, the XML language standardizes the expression of UUV task elements. Second, considering the time sequence and spatial path planning requirements of human-supervised UUV control tasks, time sequence planning based on a genetic algorithm and spatial path planning based on an improved genetic algorithm were designed to plan near-optimal approximate spatial paths for control tasks. Third, uncertainties encountered during UUV task execution were classified so that the commander could adjust according to the situation or invoke the control task re-planning algorithm to re-plan. Finally, a simulation platform was built using the QT development environment to simulate human-supervised UUV control task planning and re-planning, verifying the algorithm’s design effectiveness.

show abstract