Advanced Arduino techniques in science : refine your skills and projects with PCs or Python-Tkinter / Richard J. Smythe.
2021
TJ223.P76 S69 2021
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Title
Advanced Arduino techniques in science : refine your skills and projects with PCs or Python-Tkinter / Richard J. Smythe.
Author
Smythe, Richard J., author.
ISBN
9781484267844 (electronic bk.)
1484267842 (electronic bk.)
9781484267868
1484267869
1484267834
9781484267837
1484267842 (electronic bk.)
9781484267868
1484267869
1484267834
9781484267837
Published
[Berkeley] : Apress, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-1-4842-6784-4 doi
Call Number
TJ223.P76 S69 2021
Dewey Decimal Classification
006.2/2
Summary
If youre already a comfortable programmer, familiar with your single board computer and microcontroller, and are ready to refine your projects, then lets get started! This book covers advanced methods and techniques for creating, implementing, monitoring and controlling your experiments and projects with your Raspberry Pi and Arduino. Projects will use Python and the Tkinter GUI and will also cover software development for adding real time data display to the Raspberry Pi. You'll review concepts of frequency occurring in nature and the techniques used to measure the frequency of electrically varying signal voltages. You'll also study procedures for safe design, implementation and operation of experimental measurement systems operating at high heats and high temperatures. Throughout the book you'll look at sources and types of errors, and best practices for minimizing and reducing them. Often times there are simple environmental issues hindering what would seem to be simple projects: high temperatures, controlling the power for elevated temperature with the proportional integral and derivative (PID) algorithm, and the limitations imposed by eight bit code, the influence of noise and errors in measured data, and many more. Advanced Arduino Techniques in Science provides the best tools to move past those restrictions. You will: Implement an experimental control system and graphical data display for the Raspberry Pi and Arduino Manage experimental control with PID algorithm implementation, tuning and limitations imposed by eight bit digital signals Build an analytical front end Examine data smoothing capability of the Kalman filter Explore available methods for measuring both high and low frequency values in electronic signals.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 25, 2021).
Available in Other Form
ADVANCED ARDUINO TECHNIQUES IN SCIENCE.
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Table of Contents
Chapter 1: Arduino and Raspberry Pi
Chapter 2: Development of a Simplified Python Supervisory Control and Data Acquisition System
Chapter 3:Experimental Work at High Temperatures and High Heats
Chapter 4 The PID Process Control Algorithm
Chapter 5: Real Time Data Plotting and Visualization
Chapter 6: Frequency Measurement
Chapter 7: Quality Assurance, Quality Control, and Error Analysis
Chapter 8: Power and Noise from the USB
Chapter 9: Analytical Front Ends
Chapter 10: The Kalman Filter
Appendix 1: List of abbreviations
Appendix 2: List of Suppliers.
Chapter 2: Development of a Simplified Python Supervisory Control and Data Acquisition System
Chapter 3:Experimental Work at High Temperatures and High Heats
Chapter 4 The PID Process Control Algorithm
Chapter 5: Real Time Data Plotting and Visualization
Chapter 6: Frequency Measurement
Chapter 7: Quality Assurance, Quality Control, and Error Analysis
Chapter 8: Power and Noise from the USB
Chapter 9: Analytical Front Ends
Chapter 10: The Kalman Filter
Appendix 1: List of abbreviations
Appendix 2: List of Suppliers.