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author:

Li, Chuanjian (Li, Chuanjian.) [1] | Zhang, Hehong (Zhang, Hehong.) [2] (Scholars:张和洪) | Zhai, Chao (Zhai, Chao.) [3] | Dan, Zhihong (Dan, Zhihong.) [4] | Zhang, Song (Zhang, Song.) [5] | Wang, Xin (Wang, Xin.) [6] | Zhang, Zhizhou (Zhang, Zhizhou.) [7]

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EI

Abstract:

Significant disturbances are imposed on the altitude test facility pressure control system during the aeroengines' transition state tests, which degrades the control performance and subsequently reduces the accuracy and reliability of engine tests and evaluation. To tackle this problem, we propose the utilization of an active disturbance rejection control (ADRC) based controller. Additionally, we introduce a particle swarm optimization (PSO) algorithm to optimize and fine-tune the parameters of the ADRC controller for the simulation system of intake environmental pressure. Meanwhile, a component-level modeling approach is employed to establish a simulation platform for altitude test facility pressure, and proposed method is validated through experiments conducted on the platform. The results clearly indicate that the PSO-ADRC significantly improves the performance of pressure control. © 2023 IEEE.

Keyword:

Altitude control Controllers Disturbance rejection Particle swarm optimization (PSO) Pressure control Simulation platform Test facilities

Community:

  • [ 1 ] [Li, Chuanjian]College of Computer and Data Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhang, Hehong]College of Computer and Data Science, Fuzhou University, Fuzhou, China
  • [ 3 ] [Zhai, Chao]School of Automation, China University of Geosciences, Wuhan, China
  • [ 4 ] [Dan, Zhihong]Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, Mianyang, China
  • [ 5 ] [Zhang, Song]Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, Mianyang, China
  • [ 6 ] [Wang, Xin]Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, Mianyang, China
  • [ 7 ] [Zhang, Zhizhou]School of Aeronautics and Astronautics, Sun Yat-Sen University, Shenzhen, China

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Year: 2023

Page: 7577-7581

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 8

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