
Design of Distributed Engine Control Systems with Uncertain Delay
Author(s) -
Xiaofeng Liu,
Yanxi Li,
Xu Sun
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0163545
Subject(s) - control theory (sociology) , computer science , actuator , networked control system , control engineering , cascade , control system , distributed control system , linear matrix inequality , lyapunov stability , control (management) , stability (learning theory) , engineering , mathematics , mathematical optimization , electrical engineering , chemical engineering , artificial intelligence , machine learning
Future gas turbine engine control systems will be based on distributed architecture, in which, the sensors and actuators will be connected to the controllers via a communication network. The performance of the distributed engine control (DEC) is dependent on the network performance. 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 a H ∞ output feedback under network-induced time delays and uncertain disturbances. The sufficient conditions for robust stability are derived via the Lyapunov stability theory and linear matrix inequality approach. Both numerical and hardware-in-loop simulations illustrate the effectiveness of the presented method.