Improved Thrust Performance Optimization Method for UAVs Based on the Adaptive Margin Control Approach

Yeguang Wang, Honglin Liu () and Kai Liu
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Yeguang Wang: Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
Honglin Liu: School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, China
Kai Liu: School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, China

Mathematics, 2023, vol. 11, issue 5, 1-22

Abstract: This study proposes a strategy for improving the thrust performance of fixed-wing UAV turbine engines from the perspective of aircraft/engine integration. In the UAV engine control process, the inlet distortion caused by the angle of attack change is taken into account, the inlet distortion index is calculated in real time by predicting the angle of attack, and the influence of the inlet distortion on the engine model is analyzed mechanically. Then, the pressure ratio command is adjusted according to the new compressor surge margin requirement caused by the inlet distortion to finally improve the engine thrust performance. To verify the effectiveness of the algorithm, an adaptive disturbance rejection controller is designed for the flight control of a fixed-wing UAV to complete the simulation of horizontal acceleration. The simulation results show that, with this strategy, the UAV turbofan engine can improve the turbofan engine thrust performance by more than 8% under the safety conditions.

Keywords: unmanned aerial vehicle; aircraft/engine integration; thrust optimization; adaptive margin model; adaptive disturbance rejection control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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