Safe and Efficient Flight Test Execution through Digital Engineering: High-Fidelity Loads Regression Prediction Generation
Abstract
Analytical computer models provide initial external aircraft loads predictions at the start of a loads program, however, these predictions are typically not updated as flight test progresses, even when large deviations between measured and predicted loads are observed. External aircraft loads predictions generated with a multiple linear regression with interactions technique can provide continuously updated high-fidelity empirical predictions by using the readily available aircraft states, rates, and surface positions as predictors. Continuously updated, high-fidelity loads predictions will significantly increase both the test efficiency and safety of a loads flight test program.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2021
- Accession Number
- AD1144178
Entities
People
- Alden W. Latkin
- Alyssa S. Lai
- Victor Luquin
- Wendy N. Hashii