Aerial Motor Control Under Changing Environmental Conditions
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Solution Overview
Problem
Current flight controller systems for aerial vehicles are ill-equipped to handle changing environmental conditions, often calculating unachievable and non-feasible motor inputs, which affects the performance of the aerial vehicle.
Innovation Solution
The system includes sensors to detect environmental conditions and a control system that generates torque values, determines sub-torque values, and adjusts motor speeds to maintain the aerial vehicle in a hover status while validating these values to ensure feasibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional controller systems calculate motor inputs to compensate for environmental changes, then the aerial vehicle attempts to maintain flight performance, but the calculated motor inputs become unachievable and non-feasible
Solution Approach 1:
The controller dynamically adjusts motor inputs based on real-time environmental conditions (temperature, pressure, humidity) detected by sensors. The system continuously adapts motor commands to match changing atmospheric density and aerodynamic characteristics, ensuring inputs remain achievable while maintaining flight performance.
Solution Approach 2:
The system implements a feedback mechanism where sensors detect environmental conditions and feed this information back to the controller. The controller validates calculated motor inputs against actual vehicle response and environmental constraints, adjusting commands to ensure feasibility while achieving desired flight performance.
2Reliability
If the controller increases motor power to compensate for adverse environmental conditions, then flight performance is maintained, but energy consumption increases
Solution Approach 1:
The controller optimizes motor operating parameters (RPM, torque, power) based on detected environmental conditions. By calculating the precise atmospheric density and aerodynamic changes, the system adjusts motor parameters to achieve required flight performance with minimum energy expenditure, avoiding excessive power consumption.
Solution Approach 2:
The system applies partial compensation for environmental changes rather than full compensation. It calculates the minimum necessary motor power increase to maintain flight performance, avoiding excessive energy consumption while still achieving stable flight in changing conditions.
3Measurement precision
If the controller system adds more sensors to detect environmental conditions, then the accuracy of environmental detection improves, but device complexity increases
Solution Approach 1:
The controller system uses multi-functional sensors that detect multiple environmental parameters (temperature, pressure, humidity) simultaneously. This approach achieves comprehensive environmental monitoring with minimal sensor count, maintaining detection accuracy while avoiding system complexity.
Solution Approach 2:
The system combines environmental sensing functions into integrated sensor modules that measure multiple atmospheric parameters in one unit. This merging of sensing capabilities achieves accurate environmental detection without proportionally increasing device complexity.
Data Source
AI summary
An aerial vehicle, comprising: one or more motors, one or more sensors, and a flight sub-system. The one or more sensors configured to detect data. The flight sub-system includes an attitude controller module; a rate controller module; and a compensator module. The compensator module is configured to: determine a maximum RPM of the one or more motors or a maximum torque of the one or more motors; receive a torque vector from the rate controller module; determine a rotational speed of the one or more motors to generate a desired flight orientation based upon the torque vector; and consider sensor data from the one or more sensors to adjust the rotational speed of the one or more motors.