Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System

被引：89

作者：

Wang, Ding ^{[1
,2
,3
,4
]}

He, Haibo ^{[4
]}

Mu, Chaoxu ^{[3
]}

Liu, Derong ^{[5
]}

机构：

[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China

[3] Tianjin Univ, Sch Elect & Informat Engn, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China

[4] Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA

[5] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2017年 / 64卷 / 06期

基金：

中国国家自然科学基金; 美国国家科学基金会; 北京市自然科学基金;

关键词：

Adaptive/approximate dynamic programming; adaptive critic control; disturbance attenuation; intelligent control; neural identification; smart microgrid; LOAD-FREQUENCY CONTROL; H-INFINITY CONTROL; ROBUST-CONTROL; POWER-SYSTEM; STABILITY; GAMES;

D O I：

10.1109/TIE.2017.2674633

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a computationally efficient framework for intelligent critic control design and application of continuous-time input-affine systems is established with the purpose of disturbance attenuation. The described problem is formulated as a two-player zero-sum differential game and the adaptive critic mechanism with intelligent component is employed to solve the minimax optimization problem. First, a neural identifier is developed to reconstruct the unknown dynamical information incorporating stability analysis. Next, the optimal control law and the worst-case disturbance law are designed by introducing and tuning a critic neural network. Moreover, the closed-loop system is proved to possess the uniform ultimate boundedness. At last, the present method is applied to a smart microgrid and then is further adopted to control a general nonlinear system via simulation, thereby substantiating the performance of disturbance attenuation.

引用

页码：4935 / 4944

页数：10

共 47 条

[41] Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics [J].

Wang, Ding ;

Liu, Derong ;

Zhang, Qichao ;

Zhao, Dongbin .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (11) :1544-1555

[42] Self-Learning Cruise Control Using Kernel-Based Least Squares Policy Iteration [J].

Wang, Jian ;

Xu, Xin ;

Liu, Daxue ;

Sun, Zhenping ;

Chen, Qingyang .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (03) :1078-1087

[43]

Werbos P. J., 1992, HDB INTELLIGENT CONT

[44] Robust adaptive neural control of flexible hypersonic flight vehicle with dead-zone input nonlinearity [J].

Xu, Bin .

NONLINEAR DYNAMICS, 2015, 80 (03) :1509-1520

[45] Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints [J].

Yang, Xiong ;

Liu, Derong ;

Wang, Ding .

INTERNATIONAL JOURNAL OF CONTROL, 2014, 87 (03) :553-566

[46]

Zhang H, 2013, COMMUN CONTROL ENG, P1, DOI 10.1007/978-1-4471-4757-2

[47] Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming [J].

Zhang, Huaguang ;

Zhang, Jilie ;

Yang, Guang-Hong ;

Luo, Yanhong .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (01) :152-163

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