Title :
Adaptive mode suppression for aeroelastic hypersonic vehicle
Author :
Meng, Zhongjie ; Yang, Yinquan ; Huang, Panfeng ; Yan, Jie
Author_Institution :
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
To the unique large-scale perturbations of structural modal parameters, the elastic model and the modal parameter identification model of hypersonic vehicle is founded and the adaptive vibration suppression system is designed. Based on the robust H∞ filter and LQR optimal control technology, the rigid controller is designed. Using Kalman filtering, the modal frequency can be identified on-line. Simulation shows that, in the ±20% random perturbation of aerodynamic parameters and ±30% random perturbation of modal parameters, modal frequency is identified exactly, the rigid angle of attack(AOA) is tracking accurately, and the flexible AOA is well suppressed. The precision of local AOA in scramjet inlet is ±0.5 degree, which can meet the demand of fine attitude control.
Keywords :
H∞ control; Kalman filters; adaptive control; aerodynamics; aircraft control; attitude control; elasticity; linear quadratic control; perturbation techniques; robust control; vibration control; vibrations; Kalman filtering; LQR optimal control technology; adaptive mode suppression; adaptive vibration suppression system; aerodynamic parameter; aeroelastic hypersonic vehicle; angle of attack; attitude control; large-scale perturbation; modal parameter identification model; rigid controller; robust H∞ filter; scramjet inlet; structural modal parameter; Adaptation models; Aerodynamics; Equations; Mathematical model; Robustness; Vehicles; Vibrations; adaptive; hypersonic vehicles; kalman filtering; modal observer; mode suppression; robust H∞ filtering;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975552