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

Joint Authors

Liu, Xiaofeng
Sun, Xu

Source

International Journal of Aerospace Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-16

Country of Publication

Egypt

No. of Pages

12

Abstract EN

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.

American Psychological Association (APA)

Liu, Xiaofeng& Sun, Xu. 2017. H ∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1158118

Modern Language Association (MLA)

Liu, Xiaofeng& Sun, Xu. H ∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1158118

American Medical Association (AMA)

Liu, Xiaofeng& Sun, Xu. H ∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1158118

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1158118