Survey of Advanced Nonlinear Control Strategies for UAVs: Integration of Sensors and Hybrid Techniques
Nadir Abbas, Zeshan Abbas, Samra Zafar, Naseem Ahmad, Xiaodong Liu, Saad Saleem Khan, Eric Deale Foster, Stephen Larkin
Abstract
This survey paper explores advanced nonlinear control strategies for Unmanned Aerial Vehicles (UAVs), including systems such as the Twin Rotor MIMO system (TRMS) and quadrotors. UAVs, with their high nonlinearity and significant coupling effects, serve as crucial benchmarks for testing control algorithms. Integration of sophisticated sensors enhances UAV versatility, making traditional linear control techniques less effective. Advanced nonlinear strategies, including sensor-based adaptive controls and AI, are increasingly essential. Recent years have seen the development of diverse sliding surface-based, sensor-driven, and hybrid control strategies for UAVs, offering superior performance over linear methods. This paper reviews the significance of these strategies, emphasizing their role in addressing UAV complexities and outlining future research directions.