Microcontroller Programming and Interfacing TI MSP 430 PART I

2022年11月 · eBColl Synthesis Collection 3 第 1 本图书 · Springer Nature

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This book provides a thorough introduction to the Texas Instruments MSP430 microcontroller. The MSP430 is a 16-bit reduced instruction set (RISC) processor that features ultra low power consumption and integrated digital and analog hardware. Variants of the MSP430 microcontroller have been in production since 1993. This provides for a host of MSP430 products including evaluation boards, compilers, and documentation. A thorough introduction to the MSP430 line of microcontrollers, programming techniques, and interface concepts are provided along with considerable tutorial information with many illustrated examples. Each chapter provides laboratory exercises to apply what has been presented in the chapter. The book is intended for an upper level undergraduate course in microcontrollers or mechatronics but may also be used as a reference for capstone design projects. Also, practicing engineers already familiar with another microcontroller, who require a quick tutorial on the microcontroller, will find this book very useful.

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作者简介

Steven F. Barrett, Ph.D., P.E.,received a B.S. in Electronic Engineering Technology from the University of Nebraska at Omaha in 1979, an M.E.E.E. from the University of Idaho at Moscow in 1986, and a Ph.D. from The University of Texas at Austin in 1993. He was formally an active duty faculty member at the United States Air Force Academy, Colorado and is now the Associate Dean of Academic Programs at the University of Wyoming. He is a member of IEEE (senior) and Tau Beta Pi (chief faculty advisor). His research interests include digital and analog image processing, computer-assisted laser surgery, and embedded controller systems. He is a registered Professional Engineer in Wyoming and Colorado. He co-wrote with Dr. Daniel Pack several textbooks on microcontrollers and embedded systems. In 2004, Barrett was named ""Wyoming Professor of the Year"" by the Carnegie Foundation for the Advancement of Teaching and in 2008 was the recipient of the National Society of Professional Engineers (NSPE) in Higher Education, Engineering Education Excellence Award.Daniel J. Pack is the Dean of the College of Engineering and Computer Science at the University of Tennessee, Chattanooga (UTC). Prior to joining UTC, he was Professor and Mary Lou Clarke Endowed Chair of the Electrical and Computer Engineering Department at the University of Texas, San Antonio, after serving as Professor (now Professor Emeritus) of Electrical and Computer Engineering at the United States Air Force Academy (USAFA), CO, where he served as Director of the Academy Center for Unmanned Aircraft Systems Research. He received a Bachelor of Science degree in Electrical Engineering, a Master of Science degree in Engineering Sciences, and a Ph.D. degree in Electrical Engineering from Arizona State University, Harvard University, and Purdue University, respectively. He also spent a year as a visiting scholar at the Massachusetts Institute of Technology-Lincoln Laboratory. Dr. Pack has co-authored seven textbookson embedded systems (including 68HC12 Microcontroller: Theory and Applications and Embedded Systems: Design and Applications with the 68HC12 and HCS12) and published over 130 book chapters, technical journal/transactions, and conference papers on unmanned systems, cooperative control, robotics, pattern recognition, and engineering education. He is the recipient of a number of teaching and research awards including Carnegie U.S. Professor of the Year Award, Frank J. Seiler Research Excellence Award, Tau Beta Pi Outstanding Professor Award, Academy Educator Award, and Magoon Award. He is a member of Eta Kappa Nu (Electrical Engineering Honorary), Tau Beta Pi (Engineering Honorary), IEEE (senior member), and the American Society of Engineering Education. He is a registered Professional Engineer in Colorado and currently serves as Editor-at-Large for Journal of Intelligent & Robotic Systems and as Associate Editor for IEEE Systems Journal. His research interests include unmanned aerial vehicles, intelligent control, automatic target recognition, robotics, and engineering education.