Advanced Arduino Techniques in Science: Refine Your Skills and Projects with PCs or Python-Tkinter


Advanced Arduino Techniques in Science: Refine Your Skills and Projects with PCs or Python-Tkinter
by: Richard J. Smythe
Publisher Finelybook 出版社:Springer; 1st ed. 2021 edition (August 19, 2021)
Language 语言:English
pages 页数:316 pages
ISBN-10 书号:1484267869
ISBN-13 书号:9781484267868

Book Description
If you’re already a comfortable programmer, familiar with your single board computer and microcontroller, and are ready to refine your projects, then let’s 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.

What You’ll Learn

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

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