UAV Route Recovery Control for Split Long-Duration Missions
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Solution Overview
Problem
Current UAV flight control technologies require real-time user intervention, limiting automation and intelligence, and are constrained by hardware limitations such as memory and battery capacity, which restrict the complexity and duration of flight routes.
Innovation Solution
A flight control method and device that generate and split route data into sub-routes based on preset conditions, allowing UAVs to autonomously execute routes by determining starting positions for route recovery and reallocating sub-routes among multiple aircraft to optimize battery usage and memory capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time user control is implemented, then ease of operation is improved, but extent of automation deteriorates
Solution Approach 1:
The patent segments the flight control process into autonomous route execution phases and manual intervention phases. The route planning and execution are automated through pre-programmed waypoints and paths, while users can intervene when needed. This segmentation allows the system to operate autonomously for routine tasks while remaining accessible for manual control, thus improving automation without completely sacrificing ease of operation.
Solution Approach 2:
The patent implements preliminary action by pre-planning routes and storing waypoint data before flight execution. Users can define complete flight paths in advance, and the UAV automatically executes these pre-defined routes. This eliminates the need for continuous real-time control during flight, significantly improving automation while users retain the ability to modify routes if needed, maintaining ease of operation.
2Productivity
If complex routes are implemented, then productivity is improved, but device complexity worsens
Solution Approach 1:
The patent divides complex routes into multiple manageable waypoints and sub-segments. Each waypoint represents a discrete location with specific parameters, and the complete route is constructed by sequencing these segments. This segmentation allows the system to handle complex multi-location missions without overwhelming the control system, improving productivity while keeping device complexity manageable through modular route construction.
Solution Approach 2:
The patent adds a temporal dimension to route planning by implementing multi-day mission capabilities. Routes can be planned across multiple days with automatic battery recharging stops and route splitting. This dimensional expansion allows complex long-duration missions to be broken into manageable daily segments, improving productivity for extended operations without proportionally increasing immediate device complexity.
3Productivity
If long-duration flights are implemented, then productivity is improved, but use of energy worsens
Solution Approach 1:
The patent segments long-duration flights into multiple daily missions with automatic route splitting. Each day's flight path is divided into manageable segments that fit within battery capacity constraints. The system automatically plans recharging stops at designated locations, allowing multi-day missions to be executed without requiring excessive energy in a single charge, thus improving productivity while managing energy consumption through temporal segmentation.
Solution Approach 2:
The patent implements preliminary action by pre-calculating optimal recharging stops and route segments before flight execution. The system analyzes the complete mission requirements and automatically inserts charging points at strategic locations along the route. This preliminary planning ensures that each flight segment operates within energy constraints while achieving the overall long-duration mission objective, improving productivity without proportionally increasing energy use per flight.
4Productivity
If multiple aircraft are used, then productivity is improved, but device complexity worsens
Solution Approach 1:
The patent merges the control of multiple UAVs into a single unified ground control system. The ground control device can simultaneously manage multiple aircraft, allocate routes to different UAVs based on their capabilities and battery status, and coordinate their operations. This merging approach allows the system to achieve multi-aircraft productivity without requiring each aircraft to have independent complex control systems, thus improving productivity while managing device complexity through centralized control.
Solution Approach 2:
The patent implements universality by designing the ground control device to handle multiple functions: single UAV control, multi-UAV coordination, route planning, battery management, and automatic route allocation. The system can adaptively assign different routes to different UAVs based on their individual states, maximizing fleet productivity. This multi-functional design improves productivity through coordinated multi-aircraft operations while avoiding the complexity of multiple separate control systems.
Data Source
AI summary
A control method includes generating, through a processor, route data of a route, instructing the movable object to execute the route data, detecting an execution status of the movable object, in response to detecting that the movable object is in a route recovery state, controlling the movable object in the route recovery state to resume the execution of the route according to a starting position. The starting position includes at least one of a waypoint of the plurality of waypoints before an interruption, a position determined according to a flight position recorded at a time of the interruption, or a user-designated waypoint.