AI Article Synopsis
- This survey paper discusses advanced nonlinear control techniques for Unmanned Aerial Vehicles (UAVs) like quadrotors and the Twin Rotor MIMO system (TRMS).
- UAVs present unique challenges due to their high nonlinearity and coupling, making them ideal for testing control algorithms.
- The paper highlights recent developments in nonlinear control strategies, including sensor-driven and adaptive controls, which outperform traditional linear methods and suggests future research directions for improving UAV performance.
Article 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11174502 | PMC |
| http://dx.doi.org/10.3390/s24113286 | DOI Listing |
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