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
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