So if you need to be accessing all the different functionalities on board an Arduino board you will need to use the native Arduino integrated development environment. This Matlab support package enables you to perform tasks like reading and writing to i/o pins on an Arduino board, using that Arduino board to connect with peripheral devices via i2c or SPI as well as a whole host of other functionalities and way you can control an Arduino board from MATLAB just note though that it actually does not support all the hardware functionality across all the boards. Matlab support package is basically a MATLAB add-on that will allow you to write MATLAB code which is then compiled, loaded, and executed on Arduino. In this article we will discuss about the MATLAB support package for Arduino Hardware. But in this tutorial we won’t need Arduino code “isn’t it amazing?”. We usually need an Arduino code to control or monitor something connected with the i/o pins of the Arduino boards. This is my first getting started tutorial on the Arduino and Matlab together to control something. Matlab Interfacing with Arduino, Matlab Support Package- In my previous article I explained how to make simple GUI application in Matlab the purpose of this article is to help you get started with the GUI designing in Matlab. Installing MATLAB support package for the Arduino:.For your setup you must test suitable values, we got good results with TD=0.05, TI=0.5 and KP = -3000. Only three parameters need to be defined: proportional gain KP and two time constants TI (integrator) and TD (differentiator). To realize the PID controller we used the mathematical term below - this can be found in the Simulink structure.The analog input blocks value is 1023 at 3.3V input level.With only one switching transistor you don’t need the offset. The Offset of 127 is only necessary for our variant with a full bridge. The PWM-signal will accept values between 0 and 255, that’s why we have added a saturation block. The Gain blocks in the plant-rectangle must be adjusted to your plant.For the analog input block choose the correct input pin number (we used 4) and the same sample time.Choose for the Step block: Step time = 0, Initial value = 0, Final value = set point of your levitating ball, (we worked with 0.006 (distance in meters)), Sample time TS = 0.001 is the same as before.The lowest value was a sample time of TS = 0.001, that means 1 millisecond, we were able to test without failure in loop processing (on Arduino Due, other Arduino boards may be not so fast). The sample rate of the loop is determined by the source blocks as they are the Step and the Analog Input.The structure is very similar to a usual control loop. It can be downloaded directly from Simulink to the Arduino Due board and will run alone also after disconnecting the USB-cable. The principle of the magnetically levitated ball is shown here. Power electronics (FET FDB580, Diode (50V, 2A)).Sensor (IR-Diode VSMB 2000X01, Photo diode BPW34FS (5x)).Ball (ferromagnetic material (iron or steel), diameter 60 mm, mass 200 g, we ordered them from ).Magnetic coil (core diameter 14 mm, length 60mm, 1700 windings 0.6mm wire), but many other coils will also work.Simulink Support Package for Arduino Due Hardware (we used version 14.1.3).We could implement and test different control algorithms on real Maglev systems without writing any C-code. We applied the Simulink Support Package for the Arduino Hardware and achieved a feedback control system with a constant control loop frequency of up to 1 kHz. Normally a micro-controller is programmed using interrupt routines. Therefore, we are using the Arduino Due Board.Ī constant loop time is essential for digital feedback control. Our focus however was to set up a real time control loop which is only programmed in Simulink. This experiment has been built up numerous times before and is widely available on the internet. A magnetically levitated control system (Maglev) is realized in a well-known way: an iron ball is held in levitation with the magnetic force of an electromagnet.
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