Neural network PID control for combustion instability-Reference-Cited by-同舟云学术

Neural network PID control for combustion instability

Published:2022-01-21 Issue:2 Volume:26 Page:383-398
ISSN:1364-7830
Container-title:Combustion Theory and Modelling
language:en
Short-container-title:Combustion Theory and Modelling

Author:

Zhang Long¹,Li Shan¹,Xue Yuan²,Zhou Hua³^ORCID,Ren Zhuyin¹³

Affiliation:

1. School of Aerospace Engineering, Tsinghua University, Beijing, People’s Republic of China;

2. Department of Energy and Power Engineering, Tsinghua University, Beijing, People’s Republic of China;

3. Institute for Aero Engine, Tsinghua University, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,Modeling and Simulation,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/13647830.2022.2025908

Reference42 articles.

1. Investigation of azimuthal staging concepts in annular gas turbines

2. Dynamic response of turbulent swirling flames to acoustic perturbations

3. Combustion instability analysis from the perspective of acoustic impedance

4. Identification of flame transfer functions in the presence of intrinsic thermoacoustic feedback and noise

5. Combustion dynamics and control: Progress and challenges

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