Drone Autopilot Configuration via Modular Assembly Detection
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Solution Overview
Problem
Current systems lack an efficient method for managing and updating drones, particularly in configuring autopilots based on modular components, which hinders their performance and adaptability.
Innovation Solution
The implementation of a Configuration Management Unit (CMU) that automatically detects and configures drone assemblies by reading unique identifiers from memory devices, communicating with autopilots, and updating firmware and parameters via a mobile app and repository, allowing for seamless swapping of components and configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration methods are used for drone assemblies, then system complexity is reduced, but configuration time and productivity deteriorate
Solution Approach 1:
The system enables self-service configuration by having the autopilot automatically detect assembled components through I2C communication, retrieve their unique identifiers, and configure itself without manual intervention. This eliminates the need for users to manually configure each component while maintaining system simplicity.
Solution Approach 2:
Unique identifiers are pre-programmed into each component's memory device during manufacturing. This preliminary action allows the system to quickly identify and configure components without complex real-time detection, reducing configuration time while keeping the system relatively simple.
2Adaptability or versatility
If modular components are used in drone assemblies, then adaptability is improved, but difficulty in detecting and measuring configuration deteriorates
Solution Approach 1:
The system implements feedback through I2C communication between the autopilot and components. Each component provides feedback about its unique identifier and status, allowing the autopilot to automatically detect the modular configuration and adapt accordingly. This resolves the detection difficulty while maintaining adaptability.
3Productivity
If automated configuration systems are implemented, then productivity is improved, but device complexity deteriorates
Solution Approach 1:
The I2C bus serves as an intermediary communication channel between the autopilot and components. This standardized interface simplifies the automated configuration system by providing a universal method for the autopilot to detect and communicate with any I2C-compatible component, reducing overall system complexity while improving productivity.
Data Source
AI summary
An automated modular vehicle configuration system and method that comprises a Configuration Management Unit in the vehicle that detects assemblies attached to the vehicle and configures the vehicle's autopilot based on the detected assemblies. Each attached assembly comprises mechanical and electrical components, ports and a memory device that contains identification information and data related to the assembly, such as assembly type, propulsion type, position, flight time, manufacturing date. Users can swap assemblies on the vehicle in order to provide different features to the vehicle. In particular this invention relates to drone vehicles that can be configured with different types of propulsion systems with different performance profiles and equipment such as gimbals, cameras, landing gear, measurement payloads and such. The invention also automatically downloads vehicle configuration parameters and autopilot firmware updates. Vehicle configuration and logs can be sent to the cloud for safekeeping and further analysis.