Drone Landing Station Magnetic Alignment
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Solution Overview
Problem
Autonomous landing of drones or aircraft is challenging due to the need for precise sensor accuracy and maneuverability, requiring a ground station with features that enable vision processing and mechanical characteristics for repeatable and automated landing, especially in varying lighting conditions and environments.
Innovation Solution
A drone ground station with a conical shape providing self-centering restoring forces, combined with visual and IR features for navigation, and magnetic components for precise alignment and orientation, allowing for reliable landing and takeoff in various conditions, including low battery situations and elevated locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a ground station with visual and IR features is used to aid drone navigation, then the drone can navigate to the ground station under varying lighting conditions, but the device complexity increases
Solution Approach 1:
The ground station incorporates visual markers with specific color patterns that are detectable by the drone's camera system. These color-coded markers provide orientation and positioning information, enabling the drone to navigate accurately to the ground station under varying lighting conditions while maintaining system reliability.
Solution Approach 2:
Infrared (IR) features are introduced as an intermediary element between the ground station and the drone's navigation system. The IR markers work in conjunction with visual markers to provide additional navigation cues that are detectable across different lighting conditions, enhancing landing reliability without requiring complex active illumination systems.
2Measurement precision
If magnetic components are used for precise alignment and orientation, then the drone positioning precision improves, but the manufacturing complexity increases
Solution Approach 1:
Magnetic components are used to replace or supplement mechanical alignment systems. The magnetic field provides contactless, precise alignment and orientation forces that guide the drone to its correct positioning on the ground station. This approach achieves high positioning precision while avoiding complex mechanical adjustment mechanisms, thereby simplifying the manufacturing process.
3Adaptability or versatility
If the ground station is made mobile to facilitate drone landing when battery is low, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The ground station is designed with mobile capabilities, transitioning from a static to a dynamic system. This allows the ground station to move and reposition itself to facilitate drone landings in various scenarios, such as when the drone's battery is low and it cannot return to a fixed location. The mobility feature enhances system adaptability while using standard mobile platform components to minimize manufacturing complexity.
4Adaptability or versatility
If the ground station is located on elevated positions such as walls or ceilings, then the operational versatility improves, but the installation complexity increases
Solution Approach 1:
The ground station system is segmented into modular components that can be independently installed on different surfaces. This modular design allows the ground station to be mounted on elevated positions such as walls or ceilings by dividing the system into manageable sections that can be assembled and secured using standard mounting hardware, thereby reducing installation complexity while maintaining operational versatility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures consistent and precise drone positioning for sensing and charging, enabling reliable operation under all lighting conditions and facilitating mobile ground station deployment, improving the reliability of drone-based monitoring systems.
Implementation Method 1
magnetic components for precise alignment and orientation
Implementation Method 2
conical landing station with self-centering restoring forces
Data Source
AI summary
Methods, systems, and apparatus for drone landing ground station. A method includes determining that a drone is landing on a ground station, based on determining that the drone is landing on the ground station, determining a magnetic field to generate at a first magnetic component at a first position in the ground station and an opposing magnetic polar at a second magnetic component at a second position in the ground station, and generating the magnetic field at the first magnetic component and the opposing magnetic field at the second magnetic component.