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

Adaptive Incremental Backstepping Flight Control for a High-Performance Aircraft with Uncertainties

2016 ◽  
Author(s):  
Pieter van Gils ◽  
Erik-Jan Van Kampen ◽  
Coen C. de Visser ◽  
Q Ping Chu
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.

Optimal and Robust Solutions for Longitudinal Flight Control of a Canard-Configured High Performance Aircraft

2019 ◽  
Author(s):  
Fatima Shoaib ◽  
M. Arsalan Khawaja ◽  
Hafiz Zeeshan Iqbal Khan ◽  
M. Farooq Haydar ◽  
Jamshed Riaz
Keyword(s):  
Flight Control ◽  
High Performance ◽  
Robust Solutions ◽  
High Performance Aircraft

Intelligent adaptive nonlinear flight control for a high performance aircraft with neural networks

2006 ◽  
Vol 45 (2) ◽  
pp. 225-247 ◽  
Author(s):  
Aydogan Savran ◽  
Ramazan Tasaltin ◽  
Yasar Becerikli
Keyword(s):  
Neural Networks ◽  
Flight Control ◽  
High Performance ◽  
High Performance Aircraft

Learning augmented flight control for high performance aircraft

1991 ◽  
Author(s):  
WALTER BAKER ◽  
JAY FARRELL
Keyword(s):  
Flight Control ◽  
High Performance ◽  
High Performance Aircraft

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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