Time-Varying Delay Compensation for a Class of Nonlinear Control Systems Over Network via H∞ Adaptive Fuzzy Controller

被引:116
作者
Hamdy, Mohamed [1 ]
Abd-Elhaleem, Sameh [1 ]
Fkirin, M. A. [1 ]
机构
[1] Menoufia Univ, Ind Elect & Control Engn Dept, Fac Elect Engn, Menoufia 32952, Egypt
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2017年 / 47卷 / 08期
关键词
H-infinity control; adaptive fuzzy controller; data packet dropouts; networked control system (NCS); stability analysis; time-varying networked; induced delays; TrueTime; OUTPUT-FEEDBACK CONTROL; TRACKING CONTROL; PREDICTIVE CONTROL; DECENTRALIZED CONTROL; DESIGN; STABILIZATION; STABILITY; SUBJECT; DROPOUT; STATE;
D O I
10.1109/TSMC.2016.2614779
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces a robust H-infinity adaptive fuzzy controller for a class of unknown nonlinear systems over network. There are two main problems in the networked control systems, the time-varying networked-induced delay and the data packet dropouts. The time-varying networked-induced delays cause degradation for the system performance that controlled over network and also the system can be unstable. Moreover, the delay problem is aggravated when packet losses occur during the transmission of data. The proposed controller has a filtered error to handle the networked-induced delays. Furthermore, it is robust to overcome some packet losses. The unknown nonlinear functions of the system are approximated using fuzzy logic systems. The robustness of the proposed controller is achieved by combining the adaptive fuzzy controller with H-infinity control technique. The Lyapunov stability analysis is used to prove that the proposed controller is asymptotically stable. Stability of the whole closed loop system is guaranteed via the proposed controller in the presence of bounded external disturbance, data packet dropouts and time-varying networkedinduced delays. An extensive example of an inverted pendulum system is studied in detail to verify the effectiveness of the proposed controller based on TrueTime toolbox with comparative results.
引用
收藏
页码:2114 / 2124
页数:11
相关论文
共 58 条
[1]   Robustly stabilising model predictive control design for networked control systems with an application to direct current motors [J].
Caruntu, C. -F. ;
Lazar, C. .
IET CONTROL THEORY AND APPLICATIONS, 2012, 6 (07) :943-952
[2]  
Cervin A., 2010, TRUETIME 2 0 BETA RE
[3]  
Chang YC, 2001, IEEE T FUZZY SYST, V9, P278, DOI 10.1109/91.919249
[4]   Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems [J].
Chen, Bing ;
Lin, Chong ;
Liu, Xiaoping ;
Liu, Kefu .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (01) :27-36
[5]   Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks [J].
Chen, C. L. Philip ;
Wen, Guo-Xing ;
Liu, Yan-Jun ;
Wang, Fei-Yue .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (06) :1217-1226
[6]  
CHOW MY, 2005, IEEE INDUSTRIAL ELEC, V52, P13
[7]   Saturated control of an uncertain nonlinear system with input delay [J].
Fischer, N. ;
Dani, A. ;
Sharma, N. ;
Dixon, W. E. .
AUTOMATICA, 2013, 49 (06) :1741-1747
[8]   Network-based H∞ output tracking control [J].
Gao, Huijun ;
Chen, Tongwen .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (03) :655-667
[9]   Adaptive fuzzy optimal control using direct heuristic dynamic programming for chaotic discrete-time system [J].
Gao, Ying ;
Liu, Yan-Jun .
JOURNAL OF VIBRATION AND CONTROL, 2016, 22 (02) :595-603
[10]  
Ge S. S., 2002, STABLE ADAPTIVE NEUR