Adaptive Neural Control of a 2DOF Helicopter with Input Saturation and Time-Varying Output Constraint

被引：7

作者：

Wu, Bing ^{[1
]}

Wu, Jiale ^{[2
]}

Zhang, Jian ^{[2
]}

Tang, Guojian ^{[1
]}

Zhao, Zhijia ^{[2
]}

机构：

[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Peoples R China

[2] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China

来源：

ACTUATORS | 2022年 / 11卷 / 11期

关键词：

adaptive neural network control; 2DOF helicopter; input saturation; time-varying output constraint; NONLINEAR-SYSTEMS;

D O I：

10.3390/act11110336

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

An adaptive neural control for uncertain 2DOF helicopter systems with input saturation and time-varying output constraints is provided. A radial basis function neural network is used to estimate the uncertainty terms present in the system. The saturation error and the external disturbance are considered as a composite disturbance, and an adaptive auxiliary parameter is introduced to compensate it. An asymmetric barrier Lyapunov function is employed to address the constraint violation of the system output. The closed-loop stability of the system is then demonstrated by Lyapunov theory analysis. Simulation results demonstrate the effectiveness of the control strategy.

引用

页数：13

共 50 条

[31] Robust time-varying output tracking control in the presence of actuator saturation [J].

Binazadeh, Tahereh ;

Bahmani, Majid .

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (01) :61-70

[32] Fuzzy Adaptive Control for Switched High-Order Nonlinear Systems with Time-Varying Output Constraint [J].

Li, Kewen ;

Li, Yongming .

2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2020, :492-495

[33] Adaptive neural control of a 3-DOF helicopter with unknown time delay [J].

Chen, Yuhong ;

Yang, Xuebo ;

Zheng, Xiaolong .

NEUROCOMPUTING, 2018, 307 :98-105

[34] High Gain Adaptive Output Feedback Control of Nonlinear Systems with Time-varying Uncertainties in Control Input Term [J].

Michino, Ryuji ;

Mizumoto, Ikuro .

2008 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-4, 2008, :1071-1076

[35] Adaptive neural network-based control of uncertain nonlinear systems with time-varying full-state constraints and input constraint [J].

Xi, Changjiang ;

Dong, Jiuxiang .

NEUROCOMPUTING, 2019, 357 :108-115

[36] Distributed Adaptive Observer-Based Control for Output Consensus of Heterogeneous MASs With Input Saturation Constraint [J].

Lv, Yuezu ;

Fu, Junjie ;

Wen, Guanghui ;

Huang, Tingwen ;

Yu, Xinghuo .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2020, 67 (03) :995-1007

[37] Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint [J].

Zhou, Qi ;

Wang, Lijie ;

Wu, Chengwei ;

Li, Hongyi ;

Du, Haiping .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (01) :1-12

[38] Neural Network Controller Design for an Uncertain Robot With Time-Varying Output Constraint [J].

Liu, Yan-Jun ;

Lu, Shumin ;

Tong, Shaocheng .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (08) :2060-2068

[39] Boundary Control of a Vibrating String Subject to Input Saturation and Output Constraint [J].

Sun, Weijun ;

Liu, Yiming ;

Zhao, Zhijia ;

Xie, Kan ;

Xie, Shengli .

IEEE ACCESS, 2020, 8 (08) :60062-60069

[40] Boundary control of a flexible beam with output constraint under saturation input [J].

Yu, Chuyang ;

Lin, Haojie ;

Lou, Xuyang ;

Jia, Jiajia .

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2023, 42 (02) :116-130

← 1 2 3 4 5 →