Title :
Design of blended control strategy for autonomous aircrafts with multiple actuators
Author :
Zhen Liu ; Ruyi Yuan ; Guoliang Fan ; Jianqiang Yi ; Hanbo Qian
Author_Institution :
Inst. of Autom., Beijing, China
Abstract :
A blended control strategy for autonomous aircrafts with multiple actuators is proposed in this paper. The strategy is divided into aerodynamic control subsystem and reaction jet control subsystem (RCS). Due to the complex nonlinearities, large uncertainties and strong coupling, the aerodynamic subsystem controller is designed by applying feedback linearization based on the theory of time-scale separation and sliding mode control theory. The RCS consists of four parts that are error dynamic adjustment model, PD controller, firing logic algorithm and reaction jet model. The RCS, which corresponds with the actual engineering characteristics of attitude control motors (ACMs), is designed to improve the response performance. Simulation results with a nonlinear six-dimension aircraft model show the blended control strategy has a higher tracking precision and a much more improved response characteristic than pure aerodynamic control. Simultaneously the robustness for the aerodynamic coefficient uncertainties and jets interaction is strong.
Keywords :
PD control; actuators; aerodynamics; aircraft control; attitude control; autonomous aerial vehicles; control nonlinearities; feedback; jets; mobile robots; nonlinear control systems; robust control; variable structure systems; vehicle dynamics; ACM; PD controller; RCS; actual engineering characteristics; aerodynamic coefficient uncertainty; aerodynamic control subsystem; aerodynamic subsystem controller design; attitude control motors; autonomous aircrafts; blended control strategy; complex nonlinearity; error dynamic adjustment model; feedback linearization; firing logic algorithm; jets interaction; multiple actuators; nonlinear six-dimension aircraft model; reaction jet control subsystem; reaction jet model; response characteristic; response performance; robustness; sliding mode control theory; time-scale separation; tracking precision; Aerodynamics; Aircraft; Atmospheric modeling; Attitude control; Firing; Uncertainty; Blended control strategy; feedback linearization; firing logic algorithm; multiple actuators; sliding mode control;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564885