Design and implementation of neural networks for digital current regulation of inverter drives

Author

Buhl, Michael R. ; Lorenz, Robert D.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

fYear

1991

fDate

Sept. 28 1991-Oct. 4 1991

Firstpage

415

Abstract

A discussion is presented of the design of one, two, and three layer neural networks for digital current regulation of the inverter drives. The learning requirements of various designs are evaluated by developing two different learning techniques for such inverter current regulators. The models and learning techniques have been investigated by simulation. These simulation results along with design considerations are used to determine the network best suited for this application. The implementation of neural networks is described, and experimental results are given.<>

Keywords

control system synthesis; digital control; electric current control; invertors; learning systems; neural nets; control system synthesis; current regulators; design; digital control; electric current control; inverter drives; learning techniques; models; neural networks; Computer networks; Concurrent computing; Current control; Drives; Inverters; Neural networks; Regulators; Switches; Switching frequency; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting, 1991., Conference Record of the 1991 IEEE

Conference_Location

Dearborn, MI, USA

Print_ISBN

0-7803-0453-5

Type

conf

DOI

10.1109/IAS.1991.178189

Filename

178189