mol01 / sensors-actuators

Lecture notes on sensors and actuators using ipython notebooks.

Sensors and Actuators

Notes on Sensors and Actuators with ipython notebooks

Andrés Marrugo, PhD

This repository is a collection of Jupyter notebooks in the form of lecture notes and engineering calculations for the course IMTR 1713 Sensors and Actuators taught at the Universidad Tecnológica de Bolívar. It is largely based on the book by Nathan Ida. The lectures notes are written using the Jupyter IPython Notebook, part of the Python ecosystem for scientific computing. You can view these lectures in different ways: simply read on line by clicking on the links below; or download a single notebook or all the stuff or yet fork this entire repository using the GitHub resources and run the notebooks in your computer or in the cloud. I hope this material is useful to you and I am open to suggestions or comments.

This work was inspired by the lecture notes on Scientific Computing for Biomechanics and Motor Control by Marcos Duarte. This is a work in progress.

Introduction

• Installing python. This takes you to a notebook by Marcos Duarte with instructions for installing python.

Performance Characteristics of Sensors and Actuators

• Passive and active sensors

• Power loss in optical fibers.

• A simple position sensor.

• Analytic form of transfer function.

• Errors in sensing

• Linear approximation of nonlinear transfer function.

Temperature Sensors

• A wire-spool sensor.

Mechanical Sensors

• Evaluation of a force sensor.