A Singularity-Free Model Reference Adaptive Attitude and Position Controller for Quadrotor UAV


Erkılıçoğlu N., Okumuş E., Adıgüzel F.

11th International Conference on Recent Advances in Air and Space Technologies (RAST2026), İstanbul, Türkiye, 13 - 15 Mayıs 2026, ss.1-6, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/rast69551.2026.11672373
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-6
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Quadrotor unmanned aerial vehicles (UAVs) are nonlinear and underactuated systems that are significantly affected by changing payload and parameter uncertainties. This technical note presents a singularity-free model reference adaptive control (MRAC) for the coupled attitude and position tracking of a quadrotor UAV. To address the problem of control signal singularities, which frequently occur in classical adaptive control laws, the proposed MRAC architecture introduces a specifically designed Lyapunov function and constant scaling parameters that ensure singularity-free formulation in the controller signal. The control scheme utilizes some adaptation mechanism for the translational motions and yaw rotation, driving the system to follow a desired second-order reference model. Simultaneously, the roll and pitch dynamics are stabilized using an inner-loop PD controller. The adaptive laws guarantee the asymptotic stability of the closed-loop system. The performance of the designed controller is validated through numerical simulations under different damping ratios, specifically evaluating underdamped and overdamped second-order references. The simulation outcomes verify that the proposed adaptive controller ensures robustness to parametric uncertainties, precise and singularity-free trajectory tracking, and robustness to parametric uncertainties, while effectively compensating for system uncertainties.