Synthesis of adaptive control algorithms based on output feedback with an implicit reference model for application on aerial vehicles

Abstract

This paper addresses adaptive control for an aircraft's longitudinal motion under parameter uncertainty. A mathematical model is developed, and simulations validate the proposed approach. A linear modal controller is designed for nominal parameters, while an adaptive controller with an implicit reference model ensures stability under uncertainties. MATLAB/Simulink simulations on the UAV-70V model show that the linear modal controller performs well with known parameters but becomes unstable with variations. In contrast, the adaptive controller maintains robust stability, rapid response, and precise trajectory tracking. These findings confirm its effectiveness in uncertain environments.