z-logo
open-access-imgOpen Access
Estimation-Based and Dropout-Dependent Control Design for Aeroengine Distributed Control System with Packet Dropout
Author(s) -
Yun Xu,
Muxuan Pan,
Jinquan Huang,
Wenxiang Zhou,
Xiaojie Qiu,
YeHwa Chen
Publication year - 2022
Publication title -
international journal of aerospace engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 22
eISSN - 1687-5974
pISSN - 1687-5966
DOI - 10.1155/2022/8658704
Subject(s) - dropout (neural networks) , control theory (sociology) , network packet , kalman filter , bernoulli distribution , bernoulli's principle , stability (learning theory) , computer science , control system , control (management) , engineering , mathematics , random variable , artificial intelligence , statistics , computer network , electrical engineering , machine learning , aerospace engineering
A novel estimation-based and dropout-dependent control design for distributed control systems of aeroengines with packet dropout is proposed. The packet dropout is described as an independent identically distributed (i.i.d.) Bernoulli process with known probability. The objective of the control system is to effectively and stably impel aeroengines. An inverse system is proposed to reconstruct the missing measurements, based on which, a hybrid adaptive Kalman filter (HAKF) is proposed to provide the estimated states for control design. A new state-feedback control design is developed with the estimated states and the actual states. For guaranteeing the stability of aeroengines, both the stability of HAKF and the new controlled system are analyzed and proved. The new design is applied to an aeroengine, HAKF has superior estimation accuracy which ensures the effectiveness, and the desired stability performance is achieved by controlled system in the presence of packet dropout.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom