H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts

The distributed control architecture becomes more and more important in future gas turbine engine control systems, in which the sensors and actuators will be connected to the controllers via a network. Therefore, the control problem of network-enabled high-performance distributed engine control (DEC...

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Main Authors: Xiaofeng Liu, Xu Sun
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2017/5435090
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author Xiaofeng Liu
Xu Sun
author_facet Xiaofeng Liu
Xu Sun
author_sort Xiaofeng Liu
collection DOAJ
description The distributed control architecture becomes more and more important in future gas turbine engine control systems, in which the sensors and actuators will be connected to the controllers via a network. Therefore, the control problem of network-enabled high-performance distributed engine control (DEC) has come to play an important role in modern gas turbine control systems, while, due to the properties of the network, the packet dropouts must be considered. This study introduces a distributed control system architecture based on a networked cascade control system (NCCS). Typical turboshaft engine distributed controllers are designed based on the NCCS framework with H∞ state feedback under random packet dropouts. The sufficient robust stable conditions are derived via the Lyapunov stability theory and linear matrix inequality approach. Simulations illustrate the effectiveness of the presented method.
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institution Kabale University
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language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-53cb8127f875482e914b61c629e086682025-02-03T01:10:44ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742017-01-01201710.1155/2017/54350905435090H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet DropoutsXiaofeng Liu0Xu Sun1School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing, ChinaSchool of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing, ChinaThe distributed control architecture becomes more and more important in future gas turbine engine control systems, in which the sensors and actuators will be connected to the controllers via a network. Therefore, the control problem of network-enabled high-performance distributed engine control (DEC) has come to play an important role in modern gas turbine control systems, while, due to the properties of the network, the packet dropouts must be considered. This study introduces a distributed control system architecture based on a networked cascade control system (NCCS). Typical turboshaft engine distributed controllers are designed based on the NCCS framework with H∞ state feedback under random packet dropouts. The sufficient robust stable conditions are derived via the Lyapunov stability theory and linear matrix inequality approach. Simulations illustrate the effectiveness of the presented method.http://dx.doi.org/10.1155/2017/5435090
spellingShingle Xiaofeng Liu
Xu Sun
H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts
International Journal of Aerospace Engineering
title H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts
title_full H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts
title_fullStr H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts
title_full_unstemmed H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts
title_short H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts
title_sort h∞ networked cascade control system design for turboshaft engines with random packet dropouts
url http://dx.doi.org/10.1155/2017/5435090
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