In the past, we explored the NEO-6M GPS module with Arduino through a few of our tutorials (see: "Comparing iPhone GPS Against NEO-6M with Arduino" and "Arduino GPS Tracker"). In this tutorial, we wanted to push the size limits of the portable GPS tracker by using a mini GPS module called the ATGM336H. The result is a pocket-sized GPS tracker with the low-profile by pairing the ATGM336H module with an Arduino Xiao microcontroller, SD Card Module, and 3.7V LiPo Battery. The prototype developed here will be an autonomous tracker that will record latitude/longitude at roughly 1-10 points per second (1Hz - 10Hz) and needs no external components to track geolocation. The prototype can fit in a users pocket and can track for several hours. We will also present a Python program that will plot the geolocation data points that the user can use to view the route tracked by the Arduino GPS datalogger system. The Python analysis demonstrates how well the ATGM336H GPS module and antenna are able to replicate the walking path of a human with great resolution and accuracy.
Read MoreIn this tutorial, the aim is to characterize a solar panel by varying the load at (near) peak solar insolation to identify the panel's nominal values such as open-circuit voltage, short-circuit current, max power voltage and current, and max power output. These values help users understand the expectations from a photovoltaic array and how their power needs may be met with a given PV system. An Arduino board will be used to log the current and voltage values outputted from a small solar panel. The current and voltage are measured using a 16-bit analog-to-digital converter power module, the INA226, which will allow us to track the power outputted from the photovoltaic panel. A potentiometer acting as a rheostat will serve as the varying load on the system, which will be used to identify the peak power points of the system. Finally, analyses will be conducted in Python 3, which will allow us to identify the peak power region and also the total power outputted over a duration of 24 hours.
Read MoreThis tutorial will explore the range of capabilities available to the Arduino SD library by using a real-world example of data logging. The SD library allows users to read/write, list files, create/remove files, and make/delete directories. Additionally, we will develop an algorithm that creates a new file every time the Arduino board is restarted, which will prevent overwriting of existing data records. The resulting data file will be in comma separated format and contain multiple data points, including a time stamp in milliseconds since the program started. Therefore, it is important to record the program start time. For very accurate time monitoring tasks, a real-time clock is recommended, however, for the experiments conducted here, relative time suffices.
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