Electric Aircraft Flight Control Using Sparse Simulator Data
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Solution Overview
Problem
Current flight control systems for electric aircraft require extensive simulation times and computational resources to generate comprehensive models, making them inefficient for real-time control and optimization of aircraft actuators.
Innovation Solution
A system and method that utilize a computing device to receive measured flight data, simulate aircraft performance models, determine moment and allocation commands, and perform torque allocation on flight components, allowing for efficient generation and optimization of flight control commands using a sparse set of simulation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive simulator models are used to control aircraft actuators, then control accuracy is improved, but simulation time and computational resources increase significantly
Solution Approach 1:
The patent segments the comprehensive simulator model into multiple component models (aerodynamic model, propulsion model, control surface model, etc.). Each component model is simulated separately and independently, allowing parallel processing and reducing overall simulation time while maintaining comprehensive control accuracy through the integration of all component models.
2Measurement precision
If comprehensive simulator models are used to control aircraft actuators, then control accuracy is improved, but computational resources increase significantly
Solution Approach 1:
The patent segments the comprehensive simulator model into multiple component models (aerodynamic model, propulsion model, control surface model, etc.). Each component model is simulated separately and independently, allowing parallel processing and reducing overall simulation time while maintaining comprehensive control accuracy through the integration of all component models.
3Reliability
If thousands of simulations are run to generate comprehensive simulator models, then model completeness is improved, but productivity decreases
Solution Approach 1:
The patent performs preliminary simulations of individual component models to generate pre-computed lookup tables and characteristic curves for each component. During real-time operation, the flight control system interpolates from these pre-computed data structures rather than running full simulations, achieving both model completeness and real-time productivity.
Data Source
AI summary
A system for flight control system using simulator data for an electric aircraft is presented. The system includes a computing device, the computing device configured to receive a plurality of measured flight data, simulate a plurality of aircraft performance model outputs as a function of a flight simulator and the plurality of measured flight data, determine a moment datum as a function of the plurality of measured flight data and the plurality of aircraft performance model outputs, generate an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs, and perform a torque allocation on a flight component of a plurality of flight components as a function of the allocation command and the moment datum.