EXPERT-SYSTEM, FUZZY-LOGIC, AND NEURAL-NETWORK APPLICATIONS IN POWER ELECTRONICS AND MOTION CONTROL

被引：187

作者：

BOSE, BK

机构：

[1] Department of Electrical Engineering, The University of Tennessee, Knoxville

来源：

PROCEEDINGS OF THE IEEE | 1994年 / 82卷 / 08期

关键词：

D O I：

10.1109/5.301690

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Artificial intelligence (AI) tools, such as expert system, fuzzy logic, and neural network are expected to usher a new era in power electronics and motion control in the coming decades. Although these technologies have advanced significantly in recent years and have found wide applications, they have hardly touched the power electronics and machine drives area. The paper describes these AI tools and their application in the area of power electronics and motion control. The body of the paper is subdivided into three sections which describe, respectively, the principles and applications of expert system, fuzzy logic, and neural network. The theoretical portion of each topic is of direct relevance to the application of power electronics. The example applications in the paper are taken from the published literature. Hopefully, the readers will be able to formulate new applications from these examples.

引用

页码：1303 / 1323

页数：21