UAV Backtrack Return Control Under Weak Remote Signal
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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 and safety issues when navigating complex terrains, as they rely on limited power signals that can be easily disrupted.
Innovation Solution
A method that involves monitoring the signal strength of the remote control signal and activating a backtrack return mode when the strength falls below a threshold, allowing the object to reverse its path and exit this mode when the signal strength recovers, 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 pre-stores the movement path history before signal loss occurs. When signal is lost, the object retrieves and follows the stored path in reverse, rather than calculating a new return route. This preliminary preparation enables safe obstacle avoidance during return without requiring real-time path planning computation.
Solution Approach 2:
The system creates a copy of the forward movement path and uses this copied trajectory for the return journey. Instead of navigating through unknown terrain, the object replays the recorded path coordinates in reverse order, ensuring it follows a proven safe route back to the starting point.
2Reliability
If the movable object continuously monitors and backtracks along the movement path, then the safety is improved, but the energy consumption increases
Solution Approach 1:
The system performs path recording and necessary computations before signal loss occurs. By pre-storing the complete movement trajectory and calculating return instructions in advance, the system minimizes real-time processing requirements during the return phase, thereby reducing continuous energy consumption while maintaining safety.
Solution Approach 2:
The movable object autonomously executes the return operation using pre-stored path data without requiring continuous operator input or complex real-time decision-making. The system serves itself by automatically retrieving stored coordinates and navigating back, reducing the energy burden of continuous monitoring and control adjustments.
3Loss of time
If the movable object enters backtrack return mode immediately when signal strength drops, then the response time is reduced, but the object may exit the mode prematurely when signal fluctuates
Solution Approach 1:
The system sets a signal strength threshold that provides a buffer zone before triggering the backtrack return mode. This threshold acts as a cushion, preventing premature activation due to temporary signal fluctuations while still ensuring timely response when signal loss is genuine. The threshold is calibrated to distinguish between normal variations and actual signal failure.
Data Source
AI summary
A method for controlling a movable object includes obtaining a signal strength of a remote control signal received by the movable object, obtaining a movement path of the movable object in response to the signal strength being less than a preset strength threshold, controlling the movable object to enter a backtrack return mode to return along the movement path, and controlling the movable object to exit the backtrack return mode in response to the signal strength being greater than the preset strength threshold.