Aerial Vehicle Formation Navigation for Dynamic Obstacle Avoidance
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Solution Overview
Problem
Existing systems for controlling multiple aerial vehicles in complex environments face inefficiencies and safety challenges due to nonsynchronous flight paths and varying sensor capabilities, leading to increased costs, complexity, and risk.
Innovation Solution
An autonomous aerial vehicle navigation system that enables communication and coordination between aerial vehicles to dynamically adjust formations and flight paths based on sensor data, using a command module to generate and send control signals for maintaining predetermined or altered formations, and allowing for autonomous navigation and obstacle avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If aerial vehicles operate autonomously without direct human control, then operational efficiency and personnel safety are improved, but system reliability and control precision deteriorate due to limitations in autonomous control logic and sensor capabilities
Solution Approach 1:
The system segments control authority between multiple aerial vehicles, designating a leader vehicle that autonomously makes navigation decisions and follower vehicles that execute commands. This segmentation allows the leader's advanced sensors and control logic to guide the entire formation, improving overall reliability while maintaining autonomous operation for all vehicles.
Solution Approach 2:
The leader aerial vehicle acts as an intermediary between the environment and follower vehicles. It processes sensor data, determines safe flight paths, and transmits control signals to followers. This intermediary role enables less sophisticated follower vehicles to operate reliably by relying on the leader's decision-making capabilities.
2Measurement precision
If each aerial vehicle is equipped with advanced sensor systems and autonomous control capabilities, then navigation precision and safety are improved, but system complexity and cost increase
Solution Approach 1:
The system divides sensor and processing requirements between leader and follower vehicles. The leader is equipped with advanced sensors and autonomous control capabilities, while followers have simplified systems designed for command execution. This segmentation maintains high navigation precision through the leader's capabilities while reducing overall system complexity and cost.
Solution Approach 2:
The leader aerial vehicle serves multiple functions: it acts as a navigation sensor, a decision-making controller, and a communication hub for the entire formation. This multi-functionality eliminates the need for each vehicle to have identical complex systems, as the leader's capabilities benefit all followers through command transmission.
3Ease of operation
If aerial vehicles maintain fixed predetermined formations, then operational simplicity and coordination are improved, but adaptability to dynamic environments and obstacle avoidance deteriorate
Solution Approach 1:
The formation configuration dynamically adjusts based on environmental conditions and obstacles detected by the leader vehicle. The leader transmits updated formation commands to followers in real-time, allowing the formation to transition between predetermined patterns and adaptive configurations. This maintains coordination simplicity through centralized control while achieving environmental adaptability through real-time adjustments.
Solution Approach 2:
The leader vehicle continuously senses environmental conditions and obstacle positions, then feeds back formation adjustment commands to follower vehicles. This feedback loop enables the formation to adapt to dynamic environments while maintaining coordinated operation, as followers simply execute the leader's updated commands without independent decision-making.
4Device complexity
If follower aerial vehicles rely on commands from leader vehicles, then system complexity and cost are reduced, but communication reliability and synchronization deteriorate
Solution Approach 1:
The leader vehicle determines complete formation adjustment commands in advance, including all necessary position and orientation information for each follower. By pre-calculating and transmitting comprehensive commands before execution, the system minimizes the need for continuous communication during formation transitions, reducing vulnerability to communication disruptions and improving synchronization reliability.
Data Source
Figure 1a
Figure 1b~1d
Figure 2a
AI summary
In one example, a method of operating a plurality of aerial vehicles in an environment includes receiving, at a first command module of a first aerial vehicle navigating along a first flight path, sensor data from one or more sensors on board the first aerial vehicle. The sensor data reflects one or more characteristics of the environment. The method further includes determining, via the first command module, a change from a predetermined formation to a different formation for a second aerial vehicle based at least in part on the sensor data, where the predetermined formation and the different formation are relative to the first aerial vehicle. The method also including generating, via the first command module, control signals reflecting the change from the predetermined formation to the different formation and sending the control signals from the first aerial vehicle to the second aerial vehicle.