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Testing and evaluating power systems in industrial and communications settings often requires multiple voltage and current measurements. Individual supplies may be referenced to different grounds, have either positive or negative polarity, or may be galvanically isolated with respect to other power domains. Such scenarios necessitate either individual floating multimeters, or multichannel meters with per-channel isolation, which are physically cumbersome and expensive. The circuit shown in figure 1 is a complete, isolated current and voltage measurement system for industrial, telecommunications, instrumentation, and automated test equipment (ATE) applications. The system is galvanically isolated from the host controller and will tolerate up to +/-250V between the host computer and measurement system grounds. The current input range is +/-10 amps, and voltage input range is selectable between +/-16V and +/-80V. Both voltage and current inputs feature 16-bit resolution with adjustable output data rate and signal bandwidth, including modes that reject both 50Hz and 60Hz line noise. CN0548 is compatible with 3.3V and 5V Arduino form-factor platform boards. Isolation circuitry includes both digital data and power; no additional power source is required from the circuit being measured. The digital interface is SPI (Serial Peripheral Interface) with options for remapping the CS (chip select) signal for compatibility with additional stacked Arduino shields. When paired with the ADICUP3029 and open-source firmware example, application software can easily communicate with the CN0548 over the industry-standard Industrial Input/Output (IIO) libiio library, which includes bindings for C, C#, MATLAB, Python, and LabVIEW.
1. Connect the USB micro cable to EVAL-ADUCM3029 to PC. Unzipped the provided file folder “ad7799_prj.zip” and navigate to firmware “EVAL_CN0548_ARDZ.hex. Drag and drop the firmware on the DAPLINK folder.
2. Follow the figure below for the position of shunt jumpers for headers P1, P3, P10, P8, P9, and P11. Make sure that is set at 16V max input for the voltage sensing, follow jumper settings stated in the table below encircled in red for 16V maximum input.
4. Referring to step 1, where you uploaded the .hex file firmware to ADICUP3029. Now run the executable GUI “ad7799_py_new.exe” located inside “ad7799_app” folder. It will take for about a minute before the CN0548 app will show up on your PC display. Please see figure 6 for CN0548 GUI upon start. Once the application is running, determine the comport at your device manager window and type it in the “COMPort “ number. See figure below for device manager comport number. Then input the correct comport number then press “connect” button see figure 8 for successful connection.
The following is the list of items needed in order to replicate this demo.
The easiest way for you to get started with the CN0548 board is by using the pre-built hex file for the EVAL-ADICUP3029. Follow the steps provided:
For advanced applications, you may opt to build, compile, and debug the given project by installing the CrossCore Embedded Studio (CCES) environment. This method will allow you to explore the board capabilities in detail as well as have a customized project to fit your needs.
The software for the ADICUP3029_CN0548 demo can be found here:
Prebuilt CN0548 Hex File
Complete CN0548 Source Files
PyADI-IIO is a python abstraction module for ADI hardware with IIO drivers to make them easier to use. This module provides device-specific APIs built on top of the current libIIO python bindings. These interfaces try to match the driver naming as much as possible without the need to understand the complexities of libIIO and IIO.
Install PyADI-IIO using one of the methods in PyADI-IIO.
git clone https://github.com/analogdevicesinc/pyadi-iio.git
pip install -r requirements.txt
We will also be needing the matplotlib package for the plotting of data:
pip install matplotlib
python setup.py install
The sample code provided already comes with a number of useful features for the convenience of the user. Upon startup, it will provide a simple graphic aid in order to help the user configure the board jumpers for the user's desired specification. Aside from displaying the numerical readings of the board, the sample code already has built-in data logging and real-time plot features. It also has a memory feature that allows the user to reuse the configuration of the previous session and immediately start sensing data.
Below is a copy of the python script: