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Adaptive Critic Control For Aircraft Lateral-Directional Dynamics. / Ashraf, Imrul; van Kampen, Erik-jan.

AIAA Scitech 2020 Forum: 6-10 January 2020, Orlando, FL. AIAA, 2020. AIAA 2020-1845.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Ashraf, I & van Kampen, E 2020, Adaptive Critic Control For Aircraft Lateral-Directional Dynamics. in AIAA Scitech 2020 Forum: 6-10 January 2020, Orlando, FL., AIAA 2020-1845, AIAA, AIAA Scitech 2020 Forum, Orlando, United States, 6/01/20. https://doi.org/10.2514/6.2020-1845

APA

Ashraf, I., & van Kampen, E. (2020). Adaptive Critic Control For Aircraft Lateral-Directional Dynamics. In AIAA Scitech 2020 Forum: 6-10 January 2020, Orlando, FL [AIAA 2020-1845] AIAA. https://doi.org/10.2514/6.2020-1845

Vancouver

Ashraf I, van Kampen E. Adaptive Critic Control For Aircraft Lateral-Directional Dynamics. In AIAA Scitech 2020 Forum: 6-10 January 2020, Orlando, FL. AIAA. 2020. AIAA 2020-1845 https://doi.org/10.2514/6.2020-1845

Author

Ashraf, Imrul ; van Kampen, Erik-jan. / Adaptive Critic Control For Aircraft Lateral-Directional Dynamics. AIAA Scitech 2020 Forum: 6-10 January 2020, Orlando, FL. AIAA, 2020.

BibTeX

@inproceedings{a222135022ba4f0ea8957a69f9289fc5,
title = "Adaptive Critic Control For Aircraft Lateral-Directional Dynamics",
abstract = "Loss of control-in flight (LOC-I) is one of the causes of catastrophic aircraft accidents. Fault-tolerant flight control (FTFC) systems can prevent LOC-I and recover aircraft from LOC-I precursors. One group of promising methods for developing Fault-Tolerant Control (FTC) system is the Adaptive Critic Designs (ACD). Recently one ACD algorithm, called value function based single network adaptive critic (J-SNAC), has emerged and it promises to make applications of ACD more practical by reducing the required amount of computations. This paper discusses the implementation of this framework for the design of a lateral-directional flight controller. The proposed flight controller is trained to perform coordinated-turns with an F16 simulation model. The trained controller was evaluated for tracking two different heading command signals, robustness against sensor noises and partial failure of the ailerons. The controller is found to be effective for the considered assessments.",
author = "Imrul Ashraf and {van Kampen}, Erik-jan",
year = "2020",
doi = "10.2514/6.2020-1845",
language = "English",
booktitle = "AIAA Scitech 2020 Forum",
publisher = "AIAA",

}

RIS

TY - GEN

T1 - Adaptive Critic Control For Aircraft Lateral-Directional Dynamics

AU - Ashraf, Imrul

AU - van Kampen, Erik-jan

PY - 2020

Y1 - 2020

N2 - Loss of control-in flight (LOC-I) is one of the causes of catastrophic aircraft accidents. Fault-tolerant flight control (FTFC) systems can prevent LOC-I and recover aircraft from LOC-I precursors. One group of promising methods for developing Fault-Tolerant Control (FTC) system is the Adaptive Critic Designs (ACD). Recently one ACD algorithm, called value function based single network adaptive critic (J-SNAC), has emerged and it promises to make applications of ACD more practical by reducing the required amount of computations. This paper discusses the implementation of this framework for the design of a lateral-directional flight controller. The proposed flight controller is trained to perform coordinated-turns with an F16 simulation model. The trained controller was evaluated for tracking two different heading command signals, robustness against sensor noises and partial failure of the ailerons. The controller is found to be effective for the considered assessments.

AB - Loss of control-in flight (LOC-I) is one of the causes of catastrophic aircraft accidents. Fault-tolerant flight control (FTFC) systems can prevent LOC-I and recover aircraft from LOC-I precursors. One group of promising methods for developing Fault-Tolerant Control (FTC) system is the Adaptive Critic Designs (ACD). Recently one ACD algorithm, called value function based single network adaptive critic (J-SNAC), has emerged and it promises to make applications of ACD more practical by reducing the required amount of computations. This paper discusses the implementation of this framework for the design of a lateral-directional flight controller. The proposed flight controller is trained to perform coordinated-turns with an F16 simulation model. The trained controller was evaluated for tracking two different heading command signals, robustness against sensor noises and partial failure of the ailerons. The controller is found to be effective for the considered assessments.

U2 - 10.2514/6.2020-1845

DO - 10.2514/6.2020-1845

M3 - Conference contribution

BT - AIAA Scitech 2020 Forum

PB - AIAA

ER -

ID: 68401844