Double variable PID decoupling control of turbofan engine based on RBF neural network identification

YANG Hua; GUO Ying-qing

Chinese

您当前的位置：

首页 >

文章列表页 >

Double variable PID decoupling control of turbofan engine based on RBF neural network identification

更新时间：2026-07-07

- Double variable PID decoupling control of turbofan engine based on RBF neural network identification
- Vol. 22, Issue 8, (2007)
- 作者机构：
  
  西北工业大学动力与能源学院,西安,710072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
移动端阅览
YANG Hua, GUO Ying-qing. Double variable PID decoupling control of turbofan engine based on RBF neural network identification[J]. 2007, 22(8).
DOI：

YANG Hua, GUO Ying-qing. Double variable PID decoupling control of turbofan engine based on RBF neural network identification[J]. 2007, 22(8). DOI：

摘要

根据神经网络与PID算法相结合的思想

针对涡扇发动机双变量控制中变量之间的耦合问题

提出基于径向基函数神经网络(RBF)辨识的发动机双变量神经网络PID解耦控制

并给出控制系统的控制结构及原理.仿真结果表明

该方法控制精度高、跟踪性能强、鲁棒性良好

能够有效地减小各回路之间的耦合影响

并保证控制系统具有良好的稳态和动态性能

适合航空发动机控制.

Abstract

According to the concept of combining the neural network and PID in solving the problem of coupling in turbofan engine double-variable control system

double variable PID decoupling control method for turbofan engine based on RBF neural network identification was presented in this paper.The structure of engine decoupling control system

as well as its decoupling principle was given.Simulation of the control system was performed and excellent tracking performance and robustness were obtained.The simulation results show that the method can effectively reduce the coupling influence of each control loop and assure satisfactory transient performance

thus it is suitable for the aero-engine control.

关键词

Keywords

references

Views

400

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A decentralized multivariable PI controller for turbofan engine

QFT control of aeroengine through LMI-based diagonal dominance pre-compensation

Aeroengine Separate Decoupling Control Based on Recursive Neural Networks

Prediction method on equivalent thermal conductivity coefficient of plain braided C/SiC composites material based on finite element method

Aerodynamic characteristics of design Mach number of 5 two-dimensional inlet with mixed-compression under typical condition

Related Author

LI Hua-cong

WU Zhi-kun

ZHU Yu-bin

LI Hua-cong

HAN Xiao-bao

WU Zhi-kun

LIU Jian-xun

LI Ying-hong

Related Institution

School of Power and Energy, Northwestern Polytechnical University, Xi′an

The Engineering Institute, Air Force Engineering University

Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics

Department of Power and Propulsion, School of Engineering, Cranfield University, Bedfordshire MK4

State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰