Exercise-1: Arduino interface to Matlab This example illustrates connection of Matlab software to Arduino Uno board. It

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Exercise-1: Arduino interface to Matlab This example illustrates connection of Matlab software to Arduino Uno board. It

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Exercise-1: Arduino interface to Matlab This example illustrates connection of Matlab software to Arduino Uno board. It allows user to access basic functionality of the board on Matlab command
line interface. User can easily configure Arduino object after installing Arduino Hardware support Add-on on Matlab command prompt as follows: 'Uno') % Use your local port in the a = arduino('/dev/cu.usbmodem1444301', argument >> a = arduino('/dev/cu.usbmodem1444301', "Uno'> a= arduino with properties: Port: /dev/cu. usbnodem1444301' Board: 'Uno" AvailablePins: ('02-013', 'A0-A5') AvailableDigitalPins: ('02-013', 'A0-A5') AvailablePWMPins: ('03', '05-06'. '09-011') AvailableAnalogPins: ['A0-A5'} Available12CBusIDs: [0] Libraries: ['12C', 'SPI', 'Servo'} Show all properties Now, turn ON/OFF D11 LED using arduino object on Matlab command prompl.
for i 1:10 = End writeDigitalPin(a, 'D11', 0); pause (0.5); writeDigitalPin(a, 'D11', 1); pause (0.5); end Now, lets see if your LED brightness is modified using PWM with the following code directly on Matlab command prompt. brightness_step = (1-0)/20: for i=1:20 writePWMDutyCycle (a. '011'. i'brightness_step): pause (0.1): end pause (1.0); for i=1:20 writePwMDutyCycle (a. 'D11. 1-1-brightness_step):
pause (0.1); end The potentiometer changes the voltage value read from analog pin 0 which can be used to set the voltage level on the PWM pin to control the brightness of the LED connected. Connect a potentiometer to Arduino hardware with the middle leg connected to analog pin 0 and the other two connected to 5V and GND. ⠀⠀⠀⠀⠀⠀ Write the following code to control LED using potentiometer. time = 200; while time> 0 end Und voltage = readVoltage (a. A0); writePWMVoltage (a. D11 voltage): time = time 1: pause (0.1); Rolate the knob of potentiometer to control the LED brightness after executing the code.
h Create ultrasonic RADAR using Arduino Uno and Matlab For this part of the exercise, you need following components to create a simple ultransonic RADAR. • Arduino Uno . Matlab support package for the Arduino Uno. . Servo motor (SG90) or equivalent . Ultrasonic sensor HC-SR04 Use the following diagram connect Ultrasonic sensor with the Arduino and Matlab, da UNO €100 OO Using the following code, one can interface Arduino and servo motor as follows. More information can be found by following an exercise on Mathworks. Configure your Arduino serial port in the very first Arduino object line of the code. This MATLAB script shows how to use MATLAB to map your surroundings using an Arduino and an ultrasonic sensor. Copyright 2016 The Mathworks, Inc. Create on Arduino object with the necessary add-ons. a A Create a serva object for the servo connected to pin D3. sonsor addonta, RodrigoTech/CSR04, 03, 02 1: arduino('COM4", "Uno". "Libraries'. IJRodrigotech/HCSR94", "Servo 1); Create an ultrasonic sensor object with triggor pin D3 end echo pin 02.
servo motor servo(a, '09'); 14 Rotate the servo motor from 0 to 180 degrees. Every time the motor rotates, determine the distance of any obstacles via the bounceback time of the ultrasonic ping. Take two measurements A and average them for accuracy. Record the angle and the distance (in cm) i-1; table TIM zeros (180, 2); for theta = 0: 1/180 1 ond writePosition(servo_motor, theta): distl - readTravelTime (sensor)*170; pausel.04); dist2readTravelTime (sensor)*170; dist (distl+dist2)/2: tablo(1,1) (1 1); table(1,2) round (dist - 1-1 + 1; 100,2); Rotate the servo motor from 180 to 0 degrees. Replace the values in the table with the average of the clockwise and counterclockwise scans to improve the accuracy of the map. 1 = 1; for theta = 1: -1/180 : 0 writePosition(servo_notor, theta); dist1= readiravellimetsensor)+1/0; pausel.04); dist2readTravelTime (sensor)+170; dist (distlidist2)/2: table(1 1,2) (table(1 1.2) round(dist 100.2)1/2; 1-1 + 1; end Make a polar plot of the distance data to display the map. A Limit the theta values to be between 0 and 180 because the map is only for obstacles in front of the servo. polarplot (table(:,1) pi/180, table (:,2)); title('Map of the Environment'); thetalin(10 1001); grid on;
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