NDLI: A neural networks based controller for Electron Beam welding power supply

Content Provider	IEEE Xplore Digital Library
Author	Malik, P. Agrawal, P.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engginering, Indian Institue of Technology Roorkee (India) (Malik, P.; Agrawal, P.)
Abstract	Welding is an unavoidable unit practically for every manufacturing industry. Electron Beam welding (EBW) are very important unit of some specific manufacturing processes where high degree of accuracy and flawless welding is highly desirable like aerospace engineering. The power supply unit (PSU) used for EBW are very important unit, for which high degree of stability and accuracy is a must. Since EBW is absolutely nonlinear system, for better performance, adopting non linear control methods could be a good solution. In the current study a robust adaptive controller based on multi-layer feed-forward neural network is developed for real-time voltage regulation. Simulation shows a better characteristic in terms of settling time and overshoot for the neural controller compared to that of a conventional PI controller based on Ziegler Nichols [1,2,3,4] frequency response tuning method. The controller has the unique advantages of nonlinear mapping and adaptive learning.
Starting Page	1
Ending Page	5
File Size	325706
Page Count	5
File Format	PDF
ISBN	9781424477821
e-ISBN	9781424477814
DOI	10.1109/PEDES.2010.5712429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-20
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Voltage control Training Power supplies Mean square error methods Neurons Data models Error back propagation algorithm (EBW) Artificial neural network (ANN)
Content Type	Text
Resource Type	Article

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