This report describes work performed to investigate adaptive nonlinear control for UCAVs. Specifc control techniques investigated were Internal Model Principle Nonliear Output Regulation for UCAV flight control desing and aero-servo-elastic filter deisgn; and Adaptive Inverse Control for electromagnetic actuator control design for UAVs and advanced missiles. Simulation results show good command following (or reference tracking) characteristic of the Internal Model Priciple Output Regulation technique for designs of flight control and actuator control. The simulation results also show good disturbance allenuation charnctenstic of the Intemal Model Principle Output Regulation technique for aero-serve-elastic filter design. Neural Networks Adaptive Control was also evaluated in the UCAV flight control application, and similar results to those with the Internal Model Priciple Output Regulation control were observed. The Adaptive Inverrse Control technique showed some potential for comtrolling the electromagnetic actuators which contain nonilear elemets such as dead-zone, backlash, friction, and quantization errors. However, it introduced chaflering and sensitivity to the initial estimation error of the unknow parameters. The Internal Model Priciple Output Regualtion technique was also applied to the eletromagnetic actuator model and resolved the chattering and sensitivity to the parameter estimation errors.
Robust Adaptive Control of UCAVs
2004
96 pages
Report
Keine Angabe
Englisch
Online Contents | 1998
|Online Contents | 1998
|Pentagon completing requirements for UCAVs
Online Contents | 2004
UCAVs-Technological, Policy, and Operational Challenges
NTIS | 2001
|Tube-based robust reinforcement learning for autonomous maneuver decision for UCAVs
Elsevier | 2024
|