The WiFi / BT module antenna is made in the form of a metal fitting, protected anti vibration by a drop of thermal glue:
We add a "nano 33" board Tools -> Board -> board manager:
We choose the board and port:
If we want to use IMU, you can add LSM6DS3 library:
An accelerometer or gyroscope may be useful for controlling vehicles, e.g. a two-wheeled balancing vehicle, or stabilizing / positioning the camera, or it will enable detection of movement and waking up the device, maybe in fitness applications. Maybe it is possible to count the number of steps or type of activity?
Let's test the functionality of the Arduino IoT cloud.
We set up an new account: https://www.arduino.cc/en/IoT/HomePage
after creating the account, click "NEW THING" on: https://create.arduino.cc/iot/
We choose the Nano 33 IoT board model:
To configure the board from Chrome or Firefox browser, we can download and install the 'Arduino Create' plugin. After successful installation, the plugin will be detected in the browser, and an icon will appear in the system tray.
The debug console is available at http://127.0.0.1:8991/
I used Firefox for testing.
We connect the board via USB, when it is detected we give it a name.
We go to the board configuration, the first stage is the automatic configuration of the cryptographic system.
We get the start code to upload to the board, and the ability to enter the password and the name of the 2.4GHz WiFi access point:
The added device can be found here: https://create.arduino.cc/devices/
We add the ability to control the LED on the board:
https://create.arduino.cc/iot/things
and we go to the online code editing:
https://create.arduino.cc/editor
Code: C / C++
Log in, to see the code
in function:
void onLedChange () {
// Do something
digitalWrite (13, led);
}
we add line:
digitalWrite (13, led);
which will allow you to control the LED on the board using the Arduino cloud.
In the setup section we also add output configuration 13: pinMode (13, OUTPUT);
We compile code and send it to the board, now we can return to IoT cloud.
We can control the variable led, and then togle LED using the browser:
The web interface of the editor and IoT cloud works quite slowly, and sometimes errors appear, but we can easily test the properties of IoT devices.
Let's try to read the values from the accelerometer on the PCB and send them to the cloud.
We add the ability to read one of three acceleration values sent by the accelerometer:
We can modify code in the online editor:
Code: C / C++
Log in, to see the code
We can observe in the browser value changes sent by the IMU:
Free and paid access to the online editor and cloud has its limitations:
Let's take a break from the cloud and go back to the offline editor without restrictions, try using 12b ADC converters and 10b DAC converters.
As an example, we will launch an electronic load with regulated power. Usually in such systems we have regulated constant current forced by artificial load, this time we will try to force constant power.
The voltage at the DAC0 output (pin 4) after a 3-4x gain will drive the gate of the MOSFET (select the gain to use the entire DAC range and provide the appropriate voltage at the transistor's gate).
At the ADC A1 input (pin 5) we give the input voltage from the loaded system given by a 1:10 divider, the input voltage 0-20V will correspond to 0-2V.
At the ADC A2 input (pin 6) we give the amplified voltage on the 0.1om resistor, which is used to measure the current flowing in the system. A 10X gain will provide 0-2V for 0-2A.
On the ADC A3 input (pin 7) we give the voltage set by the potentiometer, these will be the power settings that will load the connected power source.
On the serial console we will observe the set power, voltage and current as well as the drawing power.
The output voltage and current will allow you to calculate the power P = U * I, while controlling the gate voltage of the MOSFET will allow you to adjust the current.
By changing the control algorithm, an dumy load with a constant resistance or a constant current can be obtained, however, a DC electronic load with constant current can be built based on a single operational amplifier.
A controller can be used for control PID however, for the sake of simplicity, we will only use block I. The response time will be quite long, but the system will strive for constant error minimization.
This is how a primitive test system looks:
Test Code:
Code: C / C++
Log in, to see the code
In a serial console you can observe the operation of the system:
The results are average, there is a noticeable error in voltage measurement, the system has quite a long response time (it resembles a little manual turning of the instrument knob), but tries to maintain constant power regardless of changes in voltage of the connected power supply. It can be a prelude to experiments of this type, both with the code and with the system part (both worth expanding).
Arduino NANO 33 IoT is twice as expensive as the previously tested Arduino NANO Every and is equipped with a microcontroller with more resources and richer periphery. Higher resolution ADC and presence of DAC can be useful in projects with analog signals. The board works with 3.3V voltage. The module has an IMU chip and WiFi and BT connectivity, cryptographic chip, and support for IoT Arduino IoT cloud. I was surprised by the limitations of the online compiler from Arduino, and IoT cloud limitations in both the free and paid version.
What ideas do you have for using Arduino NANO 33 IoT, what do you think about online tools and cloud IoT from Arduino?
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