Title :
PD-correction functional link network control for air-breathing hypersonic vehicles
Author :
Du, Yanli ; Fang, Jie ; Lu, Yuping
Abstract :
A proportional-derivative (PD) correction partially-feedback-functional-link-network (PFFLN) control method is presented for air-breathing hypersonic vehicles (AHVs) with dynamical uncertainties. The control law consists of a nonlinear generalized predictive controller (NGPC), a PD-correction PFFLN control adjustment, and an adaptive robust control (RC) item. The latter two are used for approximating uncertainties in the slow-loop attitude system, and the PFFLN is applied to the fast-loop one. The network weights and robust gains are online tuned based on Lyapunov stability theorem and the learning process does not need offline training. Finally, simulation results show a satisfactory attitude control effect for the AHV subjected to dynamical uncertainties and disturbances.
Keywords :
Lyapunov methods; PD control; adaptive control; aircraft control; approximation theory; attitude control; control system synthesis; feedback; learning (artificial intelligence); networked control systems; nonlinear control systems; predictive control; robust control; uncertain systems; AHV; Lyapunov stability theorem; NGPC; PD correction; PFFLN control; adaptive robust control; air breathing hypersonic vehicle; attitude control effect; control law; dynamic uncertainty approximation; learning process; loop attitude system; network weight; nonlinear generalized predictive controller; partial feedback functional link network; proportional-derivative correction; robust gain; Algorithm design and analysis; Attitude control; Robust control; Robustness; Uncertainty; Vectors; Vehicles; PD-correction; functional link network; hypersonic vehicle; nonlinear predictive control;
Conference_Titel :
Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-0274-6
DOI :
10.1109/ISCCSP.2012.6217822
