Title :
Adaptive fuzzy high-order sliding mode control for flexible air-breathing hypersonic vehicle
Author :
Junlong Gao ; Ruyi Yuan ; Jianqiang Yi
Author_Institution :
Inst. of Autom., Beijing, China
Abstract :
This paper proposes a multi-input multi-output (MIMO) adaptive fuzzy high-order sliding mode controller (FHOSMC) for the flexible air-breathing hypersonic vehicle (FAHV) longitudinal model. In order to suppress big uncertainties coming from flexible modes and make the system stably controlled, we design high-order sliding mode (HOSM) controller as the main controller to achieve system convergence in limit time, and adopt the fuzzy logic system (FLS) to generate adaptive parameters to adjust the control coefficients of HOSM controller online. In addition, tracking differentiator (TD) and nonlinear state observer (NSO) are designed to generate the high-order approximate commands and real-time derivatives of velocity and altitude respectively. The simulation results validate the effectiveness and robustness of the proposed controller.
Keywords :
MIMO systems; adaptive control; aircraft control; approximation theory; attitude control; control system synthesis; convergence of numerical methods; fuzzy control; observers; uncertain systems; variable structure systems; velocity control; FAHV; FHOSMC; FLS; adaptive parameter generation; flexible air-breathing hypersonic vehicle longitudinal model; fuzzy logic system; high-order approximate command generation; multiinput multioutput adaptive fuzzy high-order sliding mode controller design; nonlinear state observer design; real-time altitude derivatives; real-time velocity derivatives; system convergence; tracking differentiator design; uncertainty suppression; Control systems; Fuzzy logic; Niobium; Observers; Robustness; Vehicles; Vibrations; FHOSMC; Feedback linearization; Flexible Air-breathing Hypersonic Vehicle; Fuzzy Logic System; Nonlinear State Observer;
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
DOI :
10.1109/ICMA.2014.6885924