Adaptive Control for Flight Simulator Input Sequences
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Solution Overview
Problem
Current methods for modifying input sequences in flight simulators to account for minor inaccuracies in aircraft models and simulator hardware-specific variabilities are time-consuming and require manual tuning, lacking adaptability and consideration for un-modeled external disturbances.
Innovation Solution
An adaptive control system that modifies input sequences in real-time using a processor and computer-readable storage medium to compare simulator output with recorded data, reducing differences between simulated and actual flight data by generating a modified input sequence within specified bounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tuning methods are used to modify input sequences, then the simulator can be made to match recorded flight data, but the process becomes very time consuming and requires re-tuning when aircraft models are changed
Solution Approach 1:
The system automatically modifies input sequences by detecting differences between recorded flight data and modeled data, and generating corrective control inputs without requiring manual intervention. The processor autonomously compares the two data sets and adjusts the input sequence to minimize discrepancies, enabling the simulator to self-correct modeling inaccuracies.
Solution Approach 2:
The system continuously monitors the difference between recorded flight data and simulated output, using this feedback to iteratively adjust and refine the input sequence. By measuring the error and feeding it back into the modification process, the system progressively reduces discrepancies between modeled and actual flight data.
2Measurement precision
If manual tuning is performed for each test case, then accuracy can be achieved, but the process lacks adaptability and requires re-tuning when hardware or models change
Solution Approach 1:
The system is designed to work with multiple aircraft models and simulator hardware configurations through a universal approach. By comparing recorded flight data with simulated output and automatically generating corrections, the same system can adapt to different models without requiring model-specific tuning procedures, making it versatile across various configurations.
Solution Approach 2:
The input sequence modification is dynamic rather than static. The system continuously adapts the correction based on real-time comparison between recorded and simulated data, allowing the modification to automatically adjust when different aircraft models or hardware configurations are used, eliminating the need for re-tuning.
3Measurement precision
If currently available methods are used to modify input sequences, then some accuracy can be achieved, but they do not take into consideration the variabilities introduced by simulator hardware
Solution Approach 1:
The system automatically detects and compensates for hardware-specific variabilities by comparing actual flight data with simulated output and generating corrective inputs. Rather than requiring manual identification of hardware issues, the system self-corrects for these variabilities through automated detection and adjustment of the input sequence.
Data Source
AI summary
Systems and methods configured to adaptively control input sequences that are used to conduct qualification tests of simulators are disclosed. An input sequence may be adaptively controlled by: providing the input sequence to a simulator configured to simulate operations of a device; comparing output of the simulator to a set of recorded operation data obtained from the device; adaptively modifying the input sequence within specified bounds to produce a modified version of the input sequence to reduce one or more differences that exist between the output of the simulator and the set of recorded operation data; and providing the modified version of the input sequence to the simulator to simulate operations of the device.