NDLI: Adaptive Modeling of Laser Powder Deposition Process for Control and Monitoring Application

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Durali, Mohammad Fathi, Alireza Khajepour, Amir Toyserkani, Ehsan
Copyright Year	2005
Abstract	Laser Powder Deposition technique is an advanced production method with many applications. Despite this fact, reliable and accurate control schemes have not yet fully developed for this method. This article presents method for in time identification of the process for modeling and adaptation of proper control strategy. ARMAX structure is chosen for system model. Recursive least square method and Kalman Filter methods are adopted for system identification, and their performance are compared. Experimental data was used for system identification, and proper filtering schemes are devised here for noise elimination and increased estimation results. It was concluded that although both methods yield efficient performance and accurate results, Kalman Filter method gives better results in parameter estimations. The comparison of the results shows that this method can be used very efficiently in control and monitoring of Laser Powder Deposition process.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	755
Ending Page	760
Page Count	6
File Format	PDF
ISBN	0791847381
DOI	10.1115/DETC2005-84911
e-ISBN	0791837661
Volume Number	Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C
Conference Proceedings	ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2005-09-24
Publisher Place	Long Beach, California, USA
Access Restriction	Subscribed
Subject Keyword	Noise (sound) Parameter estimation Filtration Kalman filters Lasers Modeling
Content Type	Text
Resource Type	Article

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