scholarly journals Robust nonlinear flight control of a high-performance aircraft

2005 ◽  
Vol 13 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Qian Wang ◽  
R.F. Stengel
Keyword(s):  
Flight Control ◽  
High Performance ◽  
High Performance Aircraft

Maneuver load alleviation for high performance aircraft robust to flight condition variations

2018 ◽  
Vol 25 (5) ◽  
pp. 1044-1057 ◽  
Author(s):  
Hongkun Li ◽  
Rui Huang ◽  
Yonghui Zhao ◽  
Haiyan Hu
Keyword(s):  
Flight Control ◽  
Recurrent Neural Networks ◽  
High Performance ◽  
Bending Moments ◽  
Linear Parameter ◽  
Military Aircraft ◽  
Robust Controller ◽  
Linear Parameter Varying ◽  
Maneuver Load ◽  
High Performance Aircraft

The design of a robust maneuver load alleviation (MLA) system for a high-performance aircraft is studied in this paper. First, the aeroservoelastic (ASE) models of a high-performance military aircraft in climbing maneuver at varying Mach numbers are established. Then, a linear parameter-varying (LPV) model of the ASE systems is constructed and an [Formula: see text] robust controller is designed based on the LPV model. The robust control is realized via a pair of outboard ailerons to alleviate the wing-root bending moments in the climbing maneuvers. To compensate the loss of performance in the load alleviation, a controller based on recurrent neural networks is designed in the flight control. Finally, some numerical simulations are made to testify the performance and robustness of the MLA system.

scholarly journals A Model Matching STR Controller for High Performance Aircraft

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Adel A. Ghandakly ◽  
Jason A. Reed
Keyword(s):  
Flight Control ◽  
High Performance ◽  
Performance Comparison ◽  
Recursive Least Squares ◽  
Superior Performance ◽  
Model Matching ◽  
Detailed Model ◽  
Aircraft Flight Control ◽  
Self Tuning ◽  
High Performance Aircraft

This paper presents a development, as well as an investigation of a Model Matching Controller (MMC) design based on the Self-Tuning Regulator (STR) framework for high performance aircraft with direct application to an F-16 aircraft flight control system. In combination with the Recursive Least Squares (RLS) identification, the MMC is developed and investigated for effectiveness on a detailed model of the aircraft. The popular robust Quantitative Feedback Theory (QFT) controller is also outlined and used to represent a baseline controller, for performance comparison during four simulated test flight maneuvers. In each of the four maneuvers, the proposed MMC provided consistently stable and satisfactory performance, including the challenging pull-up and pushover maneuvers. The baseline stationary controller has been found to become unstable in two of the four maneuvers tested. It also performs satisfactorily-to-arguably poorly in the remaining two as compared to the MMC. Simulation results presented in this investigation support a clear argument that the proposed MMC provides superior performance in the realm of automatic flight control.

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