Terminal sliding mode controller for aero-engine based on RBF neural network

MIAO Zhuo-guang; XIE Shou-sheng; WANG Hai-tao; ZHAI Xu-sheng; ZHANG Zi-yang; SUN Xiao-dong

Chinese

您当前的位置：

首页 >

文章列表页 >

Terminal sliding mode controller for aero-engine based on RBF neural network

更新时间：2026-07-07

- Terminal sliding mode controller for aero-engine based on RBF neural network
- Vol. 25, Issue 12, (2010)
- 作者机构：
  
  1. 空军工程大学工程学院,西安,710038
  2. 中国人民解放军 94333部队,潍坊,261051
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
MIAO Zhuo-guang, XIE Shou-sheng, WANG Hai-tao, et al. Terminal sliding mode controller for aero-engine based on RBF neural network[J]. 2010, 25(12).
DOI：

MIAO Zhuo-guang, XIE Shou-sheng, WANG Hai-tao, et al. Terminal sliding mode controller for aero-engine based on RBF neural network[J]. 2010, 25(12). DOI：

摘要

针对现代航空发动机是一个具有不确定性的强非线性系统

结合滑模控制和神经网络控制的优点

提出了一种基于径向基函数(radical basis function

简称RBF)网络的航空发动机terminal滑模控制方法.分析了传统指数趋近律的不足

提出了一种改进的指数趋近律来削弱抖振.该控制器采用terminal滑模面

并且利用径向基函数神经网络在线实时补偿未知干扰和不确定项的影响.仿真结果表明

所设计的控制器取得了令人满意的控制效果

能有效地抑制干扰和参数不确定性的影响

削弱了抖振.

Abstract

A method of terminal sliding mode control was put forward for aero-engine with uncertainty and strong nonlinearity based on radical basis function (RBF) neural network.The method integrated neural network control into sliding mode control.Shortage of traditional exponent reaching law was analyzed

and an improved exponent reaching law was proposed to weaken the chattering.Controller was devised using terminal sliding mode surface.And influence caused by unknown disturbance and uncertainty was compensated by RBF neural network in a real-time manner.Simulation results show that the devised controller has good effect

effectively restrains the influence and weakens the chattering.

关键词

Keywords

references

Views

380

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

LQ/controller design for aero-engine based on improved NSGAⅡ

Mathematical model of isentropic expansion process based onfunction

Investigation on the performance of an ultrasonic/pressure-swirl hybrid injector

Chaos arithmetic for civil aero-engine forecasting

Aero-engine health monitoring method based on joint entropy of symbolic series

Related Author

WANG Yuan

LI Qiu-hong

HUANG Xiang-hua

WU Qian

ZHENG Hai-fei

TANG Hao

JIN Yi

HE Xiao-min

Related Institution

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

College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics

College of Aeronautical Engineering, Civil Aviation University of China

School of Power and Energy,Northwestern Polytechnical University

School of Transportation Science and Engineering,Beijing 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