Adaptive fuzzy control of nonlinear aeroelastic system with measurement noise

被引：2

作者：

Zhang, Bo ^{[1
]}

Han, Jinglong ^{[1
]}

Ma, Ruiqun ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Peoples R China

来源：

JOURNAL OF VIBROENGINEERING | 2021年 / 23卷 / 05期

基金：

中国国家自然科学基金;

关键词：

fuzzy control; nonlinear aeroelastic system; measurement noise; neural network identification; CONTROL LAW SYNTHESIS; SLIDING-MODE CONTROL; FLUTTER SUPPRESSION; DESIGN; IDENTIFICATION; SECTION;

D O I：

10.21595/jve.2021.21738

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a limit cycle oscillation (LCO) suppression method of nonlinear aeroelastic system based on adaptive neuro-fuzzy control. A prototypical 2D wing section with a single control surface at the trailing edge of the main wing, which contains a symmetrical freeplay nonlinearity in the pitch degree of freedom, is modelled by SIMULINK (Matlab 2016R) to illustrate the proposed method. Proportional integral differential (PID) controller is used to suppression the LCO of nonlinear aeroelastic system. The control law of the PID controller is identified by neural network. A new fuzzy control law of the nonlinear aeroelastic system is obtained by adjusting the parameters of the fuzzy control system. A nonlinear aeroelastic system with measurement noise in the measurement feedback loop is conducted to verify the effectiveness of the proposed method.

引用

页码：1184 / 1195

页数：12

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