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.
Published in:
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Date of Conference: 21-23 June 2011