A Review of Research on Combining Algorithms to Enhance Flight Robustness and Stability in Quadrotor UAVs

Abstract

Quadrotor UAVs are widely used in precision agriculture, disaster emergency response, logistics and transport due to their simple structure and flexible handling. However, its flight performance is often limited by external environmental perturbations, uncertainties, and system nonlinearities, and advanced algorithms are urgently needed to improve its robustness and stability. This study reviews the research progress of traditional control algorithms, intelligent control algorithms, and hybrid control algorithms in UAV flight performance optimisation, systematically analyses their advantages and disadvantages as well as their applicable scenarios, and proposes the challenges faced by the current technology and the future development direction.