Autonomous Delivery Drone Control for Multi-UAV Flight Coordination
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Solution Overview
Problem
Existing drone technologies face challenges in achieving optimal control and maneuverability, particularly in simultaneous control of multiple drones and in transitioning between vertical take-off and landing (VTOL) and aero flight modes.
Innovation Solution
The development of an autonomous aerial vehicle system comprising a plurality of drones with 360-degree propeller rotation capability, a management server for scheduling flight plans, and communication via a wireless network, enabling autonomous operation, stability, and efficient transition between flight modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple UAVs are used to perform tasks, then productivity is improved, but control complexity increases making simultaneous manual control impossible
Solution Approach 1:
Each UAV is equipped with an onboard computer that autonomously controls flight operations, navigation, and task execution. The UAVs self-manage their flight paths and coordinate with other UAVs without requiring continuous human intervention, enabling multi-vehicle operations while reducing control complexity
Solution Approach 2:
A central server acts as an intermediary that receives task requests, allocates them to appropriate UAVs, and monitors overall system operation. The server coordinates between multiple UAVs and the ground control station, managing flight plans and ensuring safe operations without requiring direct manual control of each vehicle
2Adaptability or versatility
If gyroscopic structure with 360° rotation capability is implemented, then maneuverability is improved, but stability control during transition becomes more difficult
Solution Approach 1:
The onboard computer continuously receives data from sensors including gyroscopes, accelerometers, and position sensors. This feedback is processed in real-time to adjust motor speeds and propeller positions, maintaining stable flight during transitions between VTOL and horizontal flight modes while enabling 360° rotational maneuvers
Solution Approach 2:
The drone employs dynamic adjustment of motor speeds and propeller orientations during flight mode transitions. The system adapts its control parameters in real-time based on the current flight phase, optimizing stability during VTOL operations and enabling agile maneuvers during horizontal flight through continuous dynamic control adjustments
Data Source
AI summary
The present invention discloses an autonomous aerial vehicle system to provide a plurality of autonomous delivery vehicle, such as drone with a weight carrying capacity. The components of drone are disposed in the frisbee like shell which facilitates to take flight in the same manner and capacity as of a frisbee. The drone provides 360-degree rotation and the pioneering velocity driven movement capabilities. The system further includes a management server in communication with the plurality of autonomous aerial vehicle via a wireless network to schedule a flight plan for the plurality of autonomous aerial vehicle. Each autonomous aerial vehicle includes a control module in communication with the management server is configured to operates the autonomous aerial vehicle according to the flight plan data. The control module receives data includes position data, battery status data, location data of the aerial vehicle to aid the autonomous vehicle to execute the flight plan.