Quantitative modeling of civil aircraft flight control system readiness: multidimensional integrated evaluation and dynamic weight assignment

Aiming at the readiness assessment needs of civil aircraft flight control system in the proof-of-concept stage, this study proposes a multi-dimensional weight evaluation method that integrates the Technology Readiness Level (TRL) and Technology Readiness Level (IRL). The key components of the flight control system are screened through module decomposition, and a dynamic weight allocation model is constructed by combining the baseline method, Principal Component Analysis (PCA) and Analytic Hierarchy Process (AHP) to quantify the System Readiness Level (SRL). Among them, PCA is used to downscale and screen the importance evaluation criteria, while AHP optimizes the module weights to reflect their comprehensive impact on the system. The standardized SRL scores are formed through the weighted fusion of technology readiness matrix and integration matrix, combined with Python algorithm for automated calculation.