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dsp implementation of a digital non-linear interval control algorithm for a quasi-keyhole plasma arc PDF

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UUnniivveerrssiittyy ooff KKeennttuucckkyy UUKKnnoowwlleeddggee University of Kentucky Master's Theses Graduate School 2004 DDSSPP IIMMPPLLEEMMEENNTTAATTIIOONN OOFF AA DDIIGGIITTAALL NNOONN--LLIINNEEAARR IINNTTEERRVVAALL CCOONNTTRROOLL AALLGGOORRIITTHHMM FFOORR AA QQUUAASSII--KKEEYYHHOOLLEE PPLLAASSMMAA AARRCC WWEELLDDIINNGG PPRROOCCEESSSS Matthew Wayne Everett University of Kentucky, [email protected] RRiigghhtt cclliicckk ttoo ooppeenn aa ffeeeeddbbaacckk ffoorrmm iinn aa nneeww ttaabb ttoo lleett uuss kknnooww hhooww tthhiiss ddooccuummeenntt bbeenneefifittss yyoouu.. RReeccoommmmeennddeedd CCiittaattiioonn Everett, Matthew Wayne, "DSP IMPLEMENTATION OF A DIGITAL NON-LINEAR INTERVAL CONTROL ALGORITHM FOR A QUASI-KEYHOLE PLASMA ARC WELDING PROCESS" (2004). University of Kentucky Master's Theses. 245. https://uknowledge.uky.edu/gradschool_theses/245 This Thesis is brought to you for free and open access by the Graduate School at UKnowledge. It has been accepted for inclusion in University of Kentucky Master's Theses by an authorized administrator of UKnowledge. For more information, please contact [email protected]. ABSTRACT OF THESIS DSP IMPLEMENTATION OF A DIGITAL NON-LINEAR INTERVAL CONTROL ALGORITHM FOR A QUASI-KEYHOLE PLASMA ARC WELDING PROCESS The Quasi-Keyhole plasma arc welding (PAW) process is a relatively simple concept, which provides a basis for controlling the weld quality of a subject work piece by cycling the arc current between a static base and variable peak level. Since the weld quality is directly related to the degree of penetration and amount of heat that is generated and maintained in the system, the Non-Linear Interval Control Algorithm provides a methodology for maintaining these parameters within acceptable limits by controlling the arc current based upon measured peak current times. The Texas Instrument’s TMS320VC5416 DSK working in conjunction with Signalware’s AED-109 Data Converter provides a hardware solution to implement this control algorithm. This study outlines this configuration process and demonstrates its validity. KEYWORDS: TMS320VC5416 DSK, AED-109, Interval Control, Quasi-Keyhole, Plasma Arc Welding Author: Matthew Wayne Everett Date: 29 May 2004 Copyright 2004, Ma tthew Wayne Everett DSP IMPLEMENTATION OF A DIGITAL NON-LINEAR INTERVAL CONTROL ALGORITHM FOR A QUASI-KEYHOLE PLASMA ARC WELDING PROCESS By Matthew Wayne Everett Dr. YuMing Zhang Director of Thesis Dr. William T. Smith Director of Graduate Studies Date: 29 May 2004 RULES FOR THE USE OF THE THESES Unpublished theses submitted for the Master’s degree and deposited in the University of Kentucky Library are as a rule open for inspection, but are to be used only with due regard to the rights of the authors. Bibliographical references may be noted, but quotations or summaries of parts may be published only with the permission of the author, and with the usual scholarly acknowledgments. Extensive copying or publication of the thesis in whole or in part also requires the consent of the Dean of the Graduate School of the University of Kentucky. THESIS Matthew Wayne Everett The Graduate School University of Kentucky 2004 DSP IMPLEMENTATION OF A DIGITAL NON-LINEAR INTERVAL CONTROL ALGORITHM FOR A QUASI-KEYHOLE PLASMA ARC WELDING PROCESS _______________________________ THESIS _______________________________ A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering in the College of Engineering at the University of Kentucky By Matthew Everett, PE, LSIT, MCP Lexington, Kentucky Director: Dr. YuMing Zhang, Department of Electrical and Computer Engineering Lexington, Kentucky 2004 Copyright 2004, Ma tthew Wayne Everett At this time, I wish to dedicate this thesis to my mother, Linda Glass. She has always been an example of principle, perseverance, and dedication. I can only hope that she is proud of me as I am of her. I love you Mom. Acknowledgements This work has been supported and partially funded by the National Science Foundation under Grant DMI-0114982 and the Center for Manufacturing Systems at the University of Kentucky. At this time, I would like to thank Dr. Yuming Zhang for the personal, academic, and material support he has provided throughout my undergraduate and graduate work at the University of Kentucky in the Department of Electrical and Computer Engineering. As the Director of the Welding Research Laboratory and the Applied Sensing and Control Laboratory, Dr. Zhang has graciously allowed me to participate in this program, utilize his laboratory facilities, and provide technical guidance. Since first meeting Dr. Zhang in the summer of 2001, I have found him to not only be extremely intellectually gifted, but also a refreshing individual. I cannot remember a time when Dr. Zhang was unable to smile and provide an upbeat tone to our discussions, or in my observations, his discussions with others. The University of Kentucky is quite fortunate to have a professor such as Dr. Zhang on staff. I would also like to thank Wei Lu for his technical guidance and patience. Wei is currently pursuing his PHD here at the University of Kentucky, which I am sure he will complete quite soon. Wei is a fine individual who enriches the academic community. If in the future our paths do not cross, I wish Wei and his family the best life has to offer. I will not forget his gratitude. ii i Table of Contents Acknowledgments …………………………………………………………………….…... iii List of Tables ……………….………………………………………………………….…. ix List of Figures ………………..………………………….…………………………….….. x List of Files …………………..………………………….…………………………….….. xii 1 Introduction 1.1 Objective ……………………………….…………………………………..… 1 1.2 Micro-Processor ……………………………….…………………………..… 1 1.3 Micro-Controller ……………………………………….…………………..… 1 1.4 Digital Signal Processor ……………………………………….…………..… 2 1.5 Daughter Card ……………………………………………………….…..… 2 2 Quasi-Keyhole Plasma Arc Welding Process 2.1 Arc Welding …………………………………………………………...… 4 2.2 Plasma Arc Welding Process and Laboratory Experimental System ….…. 5 3 Digital Signal Processor 3.1 TMS320VC5416 DSP Developmental Starter Kit (DSK) ……………………... 7 3.1.1 DSK Architecture ..………………………….……………………….... 8 3.1.1.1 Emulation …………………………………….…………….…. 8 3.1.1.2 Hardware Expansion …………………………….….……. 8 3.1.1.3 Memory ..……………………………………….…………… 10 3.1.1.3.1 Processor Mode Status Register …………..…. 10 3.1.1.3.2 Program Memory Map for Page 0 and ………..…… 12 Data Memory Map 3.1.1.3.3 Extended Program Memory Map ………….….. 13 3.1.1.3.4 I/O Memory Map …………………………..…. 14 3.1.1.3.5 Data Memory Page Map ………………...….... 14 3.1.1.3.6 Program Memory Page Map …………………...… 15 3.1.1.3.7 Memory Resources ..………………….……….... 16 3.1.1.3.8 Wait State Generator ………………………..…..... 16 3.1.1.4 CPLD Registers ..……………………………………………. 16 3.1.1.4.1 USER_REG Register ..……………………………. 17 3.1.1.4.2 DC_REG Register ………..…………………..... 17 3.1.1.4.3 CODEC_L_CMD and CODEC_H_CMD ………….. 18 Registers 3.1.1.4.4 VERSION Register ………..…………………..... 18 3.1.1.4.5 MISC Register ..……………………………………. 18 3.1.1.4.6 CODEC_CLK Register ..……………………………. 19 3.2 TMS320VC5416 DSP (C5416 DSP) Functional Overview ………..….… 20 3.2.1 5416 Processor ..……………………………………………………. 21 iv

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Everett, Matthew Wayne, "DSP IMPLEMENTATION OF A DIGITAL NON-LINEAR INTERVAL CONTROL ALGORITHM She has always been an example of principle, perseverance, and dedication. I can only hope that she is proud of me as I am of her. I love you Mom 5.6.2 FPGA Control Registers .
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