Drone Payload Frame Weight Distribution Calculation
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Solution Overview
Problem
Drones face difficulties in maintaining stable flight parameters due to varying payload configurations, leading to potential crashes and control issues, as current systems fail to accurately account for payload weight distribution and physical properties, resulting in oscillations and aviation risks.
Innovation Solution
A system comprising a drone and a payload frame with means for attaching and electrically coupling payload modules, which communicate their relative location, weight, and volume to a controller, enabling the calculation of weight distribution and optimization of flight parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If flight parameters are configured based on estimated payload characteristics, then configuration process is simple and fast, but accuracy of flight parameters deteriorates leading to oscillations and potential crashes
Solution Approach 1:
The system performs preliminary weighing and measurement of payload modules before flight configuration. Weight sensors measure the actual weight of each payload module, and dimensions are measured to calculate volume. This preliminary data collection enables accurate flight parameter calculation without compromising configuration speed.
Solution Approach 2:
The system implements feedback through weight sensors that continuously monitor payload weight and communicate this data to the flight controller. The controller uses this feedback to dynamically adjust flight parameters, ensuring accurate control despite payload variations.
2Adaptability or versatility
If duplicate functional components are included in multiple payload modules, then functional versatility is improved, but overall weight increases influencing flight parameters
Solution Approach 1:
The payload frame structure serves multiple functions: it provides mechanical support for payload modules, integrates weight sensors for measurement, and acts as a communication hub. This multi-functionality reduces the need for separate duplicate components while maintaining versatility.
Solution Approach 2:
The system merges the weighing function into the payload frame structure itself through integrated weight sensors, rather than requiring separate measurement devices for each payload module. This consolidation reduces overall system weight while maintaining measurement capability.
3Productivity
If flight parameters are not accurately defined based on actual payload characteristics, then configuration is faster, but drone operation stability deteriorates causing difficult manual operation and auto-pilot failures
Solution Approach 1:
The system enables self-service through automatic flight parameter calculation. The flight controller automatically receives weight and volume data from sensors, calculates appropriate flight parameters, and configures control settings without requiring manual operator input. This maintains both speed and accuracy.
Solution Approach 2:
The system dynamically changes flight parameters based on measured payload characteristics. The controller adjusts parameters such as thrust, speed, and control responsiveness according to the actual weight and volume data, ensuring optimal stability for each specific payload configuration.
4Device complexity
If weight distribution is not accurately calculated, then system complexity is reduced, but flight control reliability deteriorates causing oscillations and potential crashes
Solution Approach 1:
The system replaces complex manual weight distribution calculations with electronic sensor-based measurement. Weight sensors automatically measure payload weight and position, and the flight controller computationally determines weight distribution, eliminating the need for complex mechanical balancing procedures.
Solution Approach 2:
The flight controller acts as an intermediary that receives raw weight and position data from sensors, processes this information to calculate weight distribution, and translates it into appropriate flight control commands. This intermediary processing ensures reliable control while keeping the overall system manageable.
Data Source
AI summary
A system having a drone and a payload frame connected to the drone, wherein the payload frame includes a mechanism for attaching at least one payload module to the payload frame and electrically coupling the at least one payload module to the payload frame. The electrical coupling includes a communication interface for communicating with a controller of the drone, and is configured to communicate a relative location of the at least one payload module in the payload frame, a weight of the at least one payload module and a volume of the at least one payload module. The controller of the drone is configured to calculate a weight distribution within the payload frame, based on the relative location of the at least one payload module, the weight of the at least one payload module and the volume of the at least one payload volume.