UAV Backtrack Return Control for Remote Signal Loss
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Solution Overview
Problem
Conventional remote control systems for movable objects like UAVs are prone to signal interference and obstruction, leading to potential crashes when navigating complex terrains, as they rely on limited power signals that can be easily interrupted, causing safety concerns and operational disruptions.
Innovation Solution
A method that involves monitoring the signal strength of the remote control signal and initiating a backtrack return mode when the strength falls below a threshold, allowing the object to reverse its path and seek a stronger signal, then exiting this mode when the signal strength improves, ensuring stable control and reducing the risk of collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the movable object returns directly to the starting point when signal is lost, then the return speed is fast, but the object may collide with obstacles and crash
Solution Approach 1:
The system performs preliminary action by recording the movement path and key position information before signal loss occurs. When signal is lost, the movable object uses this pre-recorded path information to navigate back safely, avoiding obstacles that would be present in the environment. This resolves the contradiction by enabling safe return without requiring fast direct navigation that would cause collisions.
2Reliability
If the movable object waits for signal recovery at the starting point, then collision risk is reduced, but energy is exhausted and return time is extended
Solution Approach 1:
The movable object performs self-service by autonomously navigating back to the starting point using the recorded movement path when signal is lost, without requiring continuous operator control or waiting passively for signal recovery. The object uses its own stored path information to return safely and efficiently, minimizing energy consumption while maintaining safety. This resolves the contradiction by enabling active safe return rather than passive waiting that would exhaust energy.
3Reliability
If the movable object uses recorded path for return, then collision avoidance is improved, but the return process becomes more complex
Solution Approach 1:
The system resolves the complexity contradiction by performing preliminary action of recording only essential path information (key positions and waypoints) rather than storing complete navigation data. When returning, the movable object uses this condensed path information to navigate safely, achieving collision avoidance without requiring complex real-time processing or sophisticated control algorithms. The pre-recorded key positions provide sufficient guidance for safe return while keeping the system relatively simple.
Data Source
AI summary
A method for controlling an unmanned aerial vehicle (UAV) includes obtaining a signal strength of a remote control signal received by the UAV, obtaining a movement path of the UAV in response to the signal strength being less than a preset strength threshold, controlling the UAV to enter a backtrack return mode to return along the movement path, and controlling the UAV to exit the backtrack return mode in response to the signal strength being greater than the preset strength threshold. The movement path of the UAV includes position information of a plurality of discrete points, and the position information of the plurality of discrete points is calculated based on at least one of sensing information obtained by a satellite positioning system disposed in the UAV or sensing information obtained by a vision positioning sensor disposed in the UAV.