Optimal control for discrete-time systems with actuator saturation

被引：12
|
作者：
Lin, Qiao [1 ]
Wei, Qinglai [1 ]
Zhao, Bo [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
来源：
OPTIMAL CONTROL APPLICATIONS & METHODS | 2017年 / 38卷 / 06期
基金：
中国国家自然科学基金;
关键词：
approximate dynamic programming; discrete time; generalized policy iteration; optimal control; saturating actuators; AFFINE NONLINEAR-SYSTEMS; DYNAMIC-PROGRAMMING ALGORITHM; ROBUST OPTIMAL-CONTROL; TRACKING CONTROL; FEEDBACK-CONTROL; LINEAR-SYSTEMS; HJB SOLUTION; ITERATION; DESIGNS;
D O I：
10.1002/oca.2313
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 study, we use generalized policy iteration approximate dynamic programming (ADP) algorithm to design an optimal controller for a class of discrete-time systems with actuator saturation. A integral function is proposed to manage the saturation nonlinearity in actuators and then the generalized policy iteration ADP algorithm is developed to deal with the optimal control problem. Compared with other algorithm, the developed ADP algorithm includes 2 iteration procedures. In the present control scheme, 2 neural networks are introduced to approximate the control law and performance index function. Furthermore, numerical simulations illustrate the convergence and feasibility of the developed method.
引用
收藏
页码：1071 / 1080
页数：10
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