Perpustakaan Digital ITB

This study presents a real-time aircraft parameter estimation framework using the Recursive Least Squares (RLS) algorithm with a forgetting factor, validated through high-fidelity simulations in FMAE flight simulator. Real-time estimation of aerodynamic parameters is crucial for flight control system development and accurate aircraft modeling. The RLS algorithm enables continuous adaptation to changes in flight dynamics and measurement noise, outperforming traditional methods such as Ordinary Least Squares (OLS), which lack adaptiveness. Comparative simulation results show that RLS with a forgetting factor yields more accurate and responsive parameter estimates under various dynamic flight conditions. The integration with X-Plane allows for realistic, scenario-rich testing, making the method suitable for real-time system identification applications. These results highlight the potential of RLS-based estimation in advancing robust and accurate flight dynamic modeling.