Adaptive Sliding Mode Control Design for Quadrotor Position and Attitude Tracking in Desert Locust Management
| dc.contributor.advisor | Chala Merga | |
| dc.contributor.author | Muluemebet Semagn | |
| dc.date.accessioned | 2026-06-20T15:27:06Z | |
| dc.date.available | 2026-06-20T15:27:06Z | |
| dc.date.issued | 2026-11 | |
| dc.description.abstract | This paper presents a robust adaptive sliding mode control (ASMC) design integrated with a Kalman filter for the position and attitude control of a quadrotor unmanned aerial vehicle (UAV) aimed at desert locust identification and management. The proposed control system addresses the challenges posed by desert conditions, including external disturbances such as wind, and the non-linear dynamics of the quadrotor. The sliding mode control technique ensures robustness and stability, while the adaptive mechanism updates control parameters. The Kalman filter provides accurate state estimation in the presence of noise, enhancing the controller’s performance.the control objectives are dynamically adjusted based on control parameters. Simulation demonstrate the effectiveness of the proposed control system in maintaining stable flight and accurate positioning, making it a valuable tool for efficient desert locust monitoring and management. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/8236 | |
| dc.language.iso | en | |
| dc.publisher | Addis Ababa University | |
| dc.subject | ASMC | |
| dc.subject | Quadrotor UAV | |
| dc.subject | MATLAB | |
| dc.subject | Simulink | |
| dc.title | Adaptive Sliding Mode Control Design for Quadrotor Position and Attitude Tracking in Desert Locust Management | |
| dc.type | Thesis |