Adaptive Dynamic Programming for Direct Current Servo Motor

被引：0

作者：

Zhu, Liao ^{[1
]}

Song, Ruizhuo ^{[1
]}

Xie, Yulong ^{[1
]}

Li, Junsong ^{[1
]}

机构：

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

来源：

NEURAL INFORMATION PROCESSING, ICONIP 2017, PT I | 2017年 / 10634卷

基金：

中国国家自然科学基金;

关键词：

Optimization; Adaptive dynamic programming; Policy iteration;

D O I：

10.1007/978-3-319-70087-8_75

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a control method for continuous time Direct Current (DC) servo motor, is presented based on adaptive dynamic programming. The core of this paper is the application of adaptive dynamic programming (ADP) to control the DC servo motor system. The program includes three main steps: (i) The mathematical model of DC servo motor system is established, and the feasibility of solving the problem with ADP is analyzed; (ii) On the basis of introducing the theory of ADP, we propose a solution to the problem; (iii) The simulation of the DC servo motor system is carried out. The contribution of this paper is that ADP, which is one of the most important methods in the field of optimal control, is used to solve the traditional problem. Finally, simulation study is conducted to verify the effectiveness of the presented algorithm.

引用

页码：731 / 740

页数：10

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