时变风场下风能驱动机器人局部路径规划方法及系统
By establishing histograms of no-navigation zones, headwind hull switching, and obstacles in the wind-powered robot, and combining these with the robot's navigation constraints and speed, the impact of time-varying wind fields and obstacles on path planning was resolved, achieving safe and reliable navigation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN ENG UNIV
- Filing Date
- 2023-11-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing path planning methods for wind-powered robots fail to effectively consider the effects of time-varying wind fields and obstacles, resulting in insufficient navigation safety and endurance.
The exponential moving average method is used to process sea wind information, and histograms of no-navigation zones, headwind boarding, and obstacles are established. By superimposing these histograms, unnavigable directions are eliminated. Combined with the navigation constraints and speed of the wind-driven robot, the optimal navigation direction is calculated.
It effectively avoids unknown obstacles in time-varying wind fields, ensures the safe navigation of wind-powered robots, provides technical support, and offers reliable path planning for their offshore operations.
Smart Images
Figure CN117519184B_ABST