CGF Entity Creation Using Frequency Response Matrices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Accurately modeling and generating high-fidelity computer-generated forces (CGF) entities for interactive computer simulations, such as flight or battlefield simulators, is a laborious process due to the need for extensive comparisons with actual flight test data to tune vehicle model parameters.
Innovation Solution
A method and system that efficiently create CGF entities by exciting input-output relationships of non-linear vehicle models at various trim conditions using short Gaussian pulses to generate frequency response matrices, which are then used to calculate parameters for state-space models that linearly approximate the non-linear vehicle model, thereby simplifying the generation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional parameter tuning methods are used to accurately model vehicle dynamics, then modeling precision is improved, but productivity deteriorates due to the extremely laborious process of comparing model response with flight test data
Solution Approach 1:
The patent transforms the traditional parameter tuning approach by using frequency response data to directly calculate state-space model parameters. Instead of iteratively adjusting parameters to match flight test data, the method computes parameters from frequency response matrices obtained through system identification, dramatically reducing the time and labor required while maintaining high modeling accuracy
Solution Approach 2:
The patent replaces the manual, iterative mechanical process of parameter tuning with an automated computational approach. Frequency response matrices are used to automatically calculate model parameters through mathematical transformations, eliminating the laborious comparison and adjustment process while preserving modeling precision
2Reliability
If comprehensive flight test data comparison is performed to tune vehicle model parameters, then reliability of the CGF entity is improved, but loss of time increases due to the extensive tuning process
Solution Approach 1:
The patent performs preliminary system identification to obtain frequency response data before creating the CGF entity. This preliminary action captures the essential dynamic characteristics of the vehicle, allowing subsequent model parameter calculation to proceed rapidly without extensive iterative tuning, thus reducing total modeling time while maintaining accuracy
Solution Approach 2:
The patent creates a simplified state-space model that copies the essential dynamic behavior of the complex non-linear vehicle model. By using frequency response matrices to derive parameters for a simpler linear model, the method captures the necessary vehicle characteristics without requiring the full complexity of the original model, reducing computation time while preserving reliability
Data Source
AI summary
Disclosed is a method of efficiently generating a computer-generated forces (CGF) entity that includes a simulated external vehicle within an interactive computer simulation that is displayed within an interactive simulation environment by an interactive computer simulation station. The method entails creating an array of state-space model structures having initially unknown parameters that, once known, will define a linearized approximation of a non-linear model of the simulated external vehicle, generating frequency response matrices by exciting each input-output relationship of the non-linear model of the simulated external vehicle at a plurality of trim conditions using very short Gaussian pulses, wherein the frequency response matrices define a plurality of linear equations, calculating the parameters by solving the linear equations of the frequency response matrices to thereby provide an array of state-space models that defines the linearized approximation of the non-linear model, and using the array of state-space models to generate the CGF entity.