Embedded Computing and Mechatronics with the PIC32 Microcontroller - Product Image

Embedded Computing and Mechatronics with the PIC32 Microcontroller

  • ID: 2784335
  • Book
  • 650 Pages
  • Elsevier Science and Technology
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For the first time in a single reference, this book provides the beginner with a coherent and logical introduction to the hardware and software of the PIC32, bringing together key material from the PIC32 Reference Manual, Data Sheets, XC32 C Compiler User's Guide, Assembler and Linker Guide, MIPS32 CPU manuals, and Harmony documentation. This book also trains you to use the Microchip documentation, allowing better life-long learning of the PIC32. The philosophy is to get you started quickly, but to emphasize fundamentals and to eliminate "magic steps" that prevent a deep understanding of how the software you write connects to the hardware.

Applications focus on mechatronics: microcontroller-controlled electromechanical systems incorporating sensors and actuators. To support a learn-by-doing approach, you can follow the examples throughout the book using the sample code and your PIC32 development board. The exercises at the end of each chapter help you put your new skills to practice.

Coverage includes:

- A practical introduction to the C programming language- Getting up and running quickly with the PIC32- An exploration of the hardware architecture of the PIC32 and differences among PIC32 families- Fundamentals of embedded computing with the PIC32, including the build process, time- and memory-efficient programming, and interrupts- A peripheral reference, with extensive sample code covering digital input and output, counter/timers, PWM, analog input, input capture, watchdog timer, and communication by the parallel master port, SPI, I2C, CAN, USB, and UART- An introduction to the Microchip Harmony programming framework- Essential topics in mechatronics, including interfacing sensors to the PIC32, digital signal processing, theory of operation and control of brushed DC motors, motor sizing and gearing, and other actuators such as stepper motors, RC servos, and brushless DC motors

For more information on the book, and to download free sample code, please visit [external URL]

- Extensive, freely downloadable sample code for the NU32 development board incorporating the PIC32MX795F512H microcontroller- Free online instructional videos to support many of the chapters
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Part 1: Quickstart 1. Quickstart Part 2: Fundamentals 2. Hardware 3. Software 4. Using Libraries 5. Time and Space 6. Interrupts Part 3: Peripheral Reference 7. Digital Input and Output 8. Counter/Timers 9. Output Compare 10. Analog Input 11. UART 12. SPI Communication 13. I2C Communication 14. Parallel Master Port 15. Input Capture 16. Comparator 17. Sleep, Idle, and the Watchdog Timer 18. Flash Memory 19. Controller Area Network (CAN) 20. Harmony and its Application to USB Part 4: Mechatronics 21. Sensors 22. Digital Signal Processing 23. PID Feedback Control 24. Feedback Control of LED Brightness 25. Brushed Permanent Magnet DC Motors 26. Gearing and Motor Sizing 27. DC Motor Control 28. A Motor Control Project 29. Other Actuators Appendix A: A Crash Course in C Appendix B: Circuits Review Appendix C: Other PIC32 Models Index

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Lynch, Kevin
Kevin Lynch received his BSE in Electrical Engineering from Princeton University and his PhD in Robotics from Carnegie Mellon University, and he is currently Professor and Department Chair of the Mechanical Engineering Department at Northwestern University. He has been teaching mechatronics at Northwestern for over 15 years, and he has been awarded Northwestern's highest teaching awards. He publishes and lectures widely on his research in robotics. He is a Fellow of the IEEE.
Marchuk, Nicholas
Nick Marchuk is a Lecturer in Mechatronics and directs the Mechatronics Design Lab at Northwestern University. He teaches introductory and advanced courses in mechatronics and directs student projects in electromechanical design. He received his BS degree in Mechanical Engineering from Johns Hopkins University and his MS in Mechanical Engineering from Northwestern.
Elwin, Matthew
Matthew Elwin is currently a PhD candidate in Mechanical Engineering at Northwestern University, where he has served as a teaching assistant for its mechatronics course. He earned BA and BE degrees in engineering sciences from Dartmouth College in 2009 and his MS in Mechanical Engineering from Northwestern in 2013. His research is in swarm robotics.
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