60 0

인덕션 서보모터 드라이브 시스템의 적응 고차 신경망 제어

Title
인덕션 서보모터 드라이브 시스템의 적응 고차 신경망 제어
Other Titles
Adaptive High-Order Neural Network Control of Induction Servomotor Drive System
Author
양해원
Keywords
High-Order Neural Control; Direct Adaptive Control; Compensation Control
Issue Date
2003-11
Publisher
대한전기학회
Citation
대한전기학회 학술대회 논문집, page. 903-905
Abstract
본 논문에서는 인덕션 서보모터 드라이브 시스템을 제어하기 위해 고차 신경망 제어기와 보상제어기를 제시하였다. In this paper, adaptive high-order neural network controller(AHONNC) is adopted to control of an induction servomotor. A algorithm is developed by combining compensation control and high-order neural networks. Moreover, an adaptive bound esitimation algorithm was proposed to estimate the bound of approximation error. The weight of the high-order neural network can be online tuned in the sense of the Lyapunov stability theorem; thus, the stability of the closed-loop system can be guaranteed. Simulation results for induction servomotor drive system are shown to confirm the validity of the proposed controller.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01348004?https://repository.hanyang.ac.kr/handle/20.500.11754/156402
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE