![How to use Digital-to-Analog Converter (DAC) with STM32F10C8 Blue Pill Board How to use Digital-to-Analog Converter (DAC) with STM32F10C8 Blue Pill Board](/sites/default/files/projectimage_mic/How-to-use-Digital-to-Analog-Converter-with-STM32F10C8.jpg)
We all know that the Microcontrollers work only with digital values but in real world we have to deal with analog signals. That’s why ADC (Analog to Digital Converters) is there to convert real world Analog values into Digital form so that microcontrollers can process the signals. But what if we need Analog signals from digital values, so here comes the DAC (Digital to Analog Converter).
A simple example for Digital to Analog converter is recording a song in studio where an artist singer is using microphone and singing a song. These analog sound waves are converted into digital form and then stored in a digital format file and when the song is played using the stored digital file those digital values are converted into analog signals for speaker output. So in this system DAC is used.
DAC can be used in many applications such as Motor control, Control Brightness of the LED Lights, Audio Amplifier, Video Encoders, Data Acquisition Systems etc.
We already interfaced MCP4725 DAC Module with Arduino. Today we will use the same MCP4725 DAC IC to design a Digital to Analog converter using the STM32F103C8 Microcontroller.
Components Required
- STM32F103C8
- MCP4725 DAC IC
- 10k Potentiometer
- 16x2 LCD display
- Breadboard
- Connecting Wires
MCP4725 DAC Module (Digital to Analog Converter)
MCP4725 IC is a 12-Bit Digital to Analog Converter Module which is used to generate output analog voltages from (0 to 5V) and it is controlled by using I2C communication. It also comes with on board nonvolatile memory EEPROM.
This IC has 12-Bit resolution. This means we use (0 to 4096) as input to provide the voltage output with respect to reference voltage. Maximum reference voltage is 5V.
Formula to calculate Output Voltage
O/P Voltage = (Reference Voltage / Resolution) x Digital Value
For Example if we use 5V as reference voltage and let’s assume that digital value is 2048. So to calculate the DAC output.
O/P Voltage = (5/ 4096) x 2048 = 2.5V
Below is the image of MCP4725 with clearly indicating pin names.
Pins of MCP4725 |
Use |
OUT |
Outputs Analog Voltage |
GND |
GND for Output |
SCL |
I2C Serial Clock line |
SDA |
I2C Serial Data line |
VCC |
Input Reference Voltage 5V or 3.3V |
GND |
GND for input |
I2C Communication in MCP4725
This DAC IC can be interfaced with any microcontroller using the I2C communication. I2C communication requires only two wires SCL and SDA. By default, the I2C address for MCP4725 is 0x60. Follow the link to know more about I2C communication in STM32F103C8.
I2C pins in STM32F103C8:
SDA: PB7 or PB9, PB11.
SCL: PB6 or PB8, PB10.
Circuit Diagram and Explanation
Connections between STM32F103C8 & 16x2 LCD
LCD Pin No |
LCD Pin Name |
STM32 Pin Name |
1 |
Ground (Gnd) |
Ground (G) |
2 |
VCC |
5V |
3 |
VEE |
Pin from Centre of Potentiometer for contrast |
4 |
Register Select (RS) |
PB11 |
5 |
Read/Write (RW) |
Ground (G) |
6 |
Enable (EN) |
PB10 |
7 |
Data Bit 0 (DB0) |
No Connection (NC) |
8 |
Data Bit 1 (DB1) |
No Connection (NC) |
9 |
Data Bit 2 (DB2) |
No Connection (NC) |
10 |
Data Bit 3 (DB3) |
No Connection (NC) |
11 |
Data Bit 4 (DB4) |
PB0 |
12 |
Data Bit 5 (DB5) |
PB1 |
13 |
Data Bit 6 (DB6) |
PC13 |
14 |
Data Bit 7 (DB7) |
PC14 |
15 |
LED Positive |
5V |
16 |
LED Negative |
Ground (G) |
Connection between MCP4725 DAC IC and STM32F103C8
MCP4725 |
STM32F103C8 |
Multimeter |
SDA |
PB7 |
NC |
SCL |
PB6 |
NC |
OUT |
PA1 |
Positive Probe |
GND |
GND |
Negative Probe |
VCC |
3.3V |
NC |
A potentiometer is also connected, with center pin connected to PA1 analog input (ADC) of STM32F10C8, Left Pin connected to GND and right most pin connected to 3.3V of STM32F103C8.
In this tutorial we will connect a MCP4725 DAC IC with STM32 and use a 10k potentiometer to provide analog input value to STM32 ADC pin PA0. And then use ADC to convert analog value into digital form. After that send those digital values to MCP4725 via I2C bus. Then convert those digital values to analog using the DAC MCP4725 IC and then use another ADC pin PA1 of STM32 to check the analog output of MCP4725 from the pin OUT. Finally display the both ADC & DAC values with voltages in the 16x2 LCD display.
Programming STM32F103C8 for Digital to Analog Conversion
A FTDI programmer is not needed now to upload code to STM32F103C8. Simply connect it to PC via USB port of STM32 and start programming with ARDUINO IDE. Visit this link to learn more about Programming your STM32 in Arduino IDE. Complete program for this STM32 DAC tutorial is given at the end.
First include library for I2C and LCD using wire.h , SoftWire.h and liquidcrystal.h library. Learn more about I2C in STM32 Microcontroller here.
#include<Wire.h> #include <LiquidCrystal.h> #include<SoftWire.h>
Next define and initialize the LCD pins according to the LCD pins connected with the STM32F103C8
const int rs = PB11, en = PB10, d4 = PB0, d5 = PB1, d6 = PC13, d7 = PC14; LiquidCrystal lcd(rs, en, d4, d5, d6, d7);
Then define the I2C address of the MCP4725 DAC IC. The MCP4725 DAC default I2C address is 0x60
#define MCP4725 0x60
In the void setup()
First begin the I2C communication at the pins PB7 (SDA) and PB6 (SCL) of STM32F103C8.
Wire.begin(); //Begins the I2C communication
Next set the LCD display in the 16x2 mode and display a welcome message.
lcd.begin(16,2); lcd.print("CIRCUIT DIGEST"); delay(1000); lcd.clear(); lcd.setCursor(0,0); lcd.print("STM32F103C8"); lcd.setCursor(0,1); lcd.print("DAC with MCP4725"); delay(2000); lcd.clear();
In the void loop()
1. First in buffer[0] put the control byte value (0b01000000).
(010-Sets MCP4725 in Write mode) buffer[0] = 0b01000000;
2. Following statement reads the analog value from pin PA0 and converts it into digital value ranging from 0 to4096 as ADC is 12-bit resolution and store in the variable adc.
adc = analogRead(PA0) ;
3. This following statement is a formula used to calculate the voltage from the ADC input value (0 to 4096) with the reference voltage of 3.3V.
float ipvolt = (3.3/4096.0)* adc;
4. Put the Most significant bit values in buffer[1] by shifting 4 bits to right in ADC variable, and Least significant bit values in buffer[2] by shifting 4 bits to left in adc variable.
buffer[1] = adc >> 4; buffer[2] = adc << 4;
5. The following statement reads analog value from ADC pin PA1 of STM32 that is the DAC output (MCP4725 DAC IC’s OUTPUT pin). This pin can also be connected to multimeter to check the output voltage.
unsigned int analogread = analogRead(PA1);
6. Further the voltage value from the variable analogread is calculated using the formula with the following statement.
float opvolt = (3.3/4096.0)* analogread;
7. In the same void loop () there are few other statements which are explained below
Begins the transmission with MCP4725:
Wire.beginTransmission(MCP4725);
Sends the control byte to I2C
Wire.write(buffer[0]);
Sends the MSB to I2C
Wire.write(buffer[1]);
Sends the LSB to I2C
Wire.write(buffer[2]);
Ends the transmission
Wire.endTransmission();
Now display those results in the LCD 16x2 display using lcd.print()
lcd.setCursor(0,0); lcd.print("A IP:"); lcd.print(adc); lcd.setCursor(10,0); lcd.print("V:"); lcd.print(ipvolt); lcd.setCursor(0,1); lcd.print("D OP:"); lcd.print(analogread); lcd.setCursor(10,1); lcd.print("V:"); lcd.print(opvolt); delay(500); lcd.clear();
Testing the DAC with STM32
When we vary the input ADC value and voltage by rotating the potentiometer, the output DAC value and voltage also changes. Here the input values are shown in the first row and output values in second row of LCD display. A multimeter is also connected to the MCP4725 Output Pin to verify the analog voltage.
Complete code with demonstration Video is given below.
Complete Project Code
#include<Wire.h> //Include Wire library for using I2C functions
#include<SoftWire.h>
#include <LiquidCrystal.h> //Include LCD library for using LCD display functions
#define MCP4725 0x60 //MCP4725 address as 0x60 Change yours accordingly
const int rs = PB11, en = PB10, d4 = PB0, d5 = PB1, d6 = PC13, d7 = PC14;
LiquidCrystal lcd(rs, en, d4, d5, d6, d7);
unsigned int adc;
byte buffer[3];
void setup()
{
Wire.begin(); //Begins the I2C communication
lcd.begin(16,2); //Sets LCD in 16X2 Mode
lcd.print("CIRCUIT DIGEST");
delay(1000);
lcd.clear();
lcd.setCursor(0,0);
lcd.print("STM32F103C8");
lcd.setCursor(0,1);
lcd.print("DAC with MCP4725");
delay(2000);
lcd.clear();
}
void loop()
{
buffer[0] = 0b01000000; //Sets the buffer0 with control byte (010-Sets in Write mode)
adc = analogRead(PA0); //Read Analog value from pin PA0
float ipvolt = (3.3/4096.0)* adc; //Finding voltage formula
buffer[1] = adc >> 4; //Puts the most significant bit values
buffer[2] = adc << 4; //Puts the Least significant bit values
unsigned int analogread = analogRead(PA1) ; //Reads analog value from PA1
float opvolt = (3.3/4096.0)* analogread; //Finding Voltage Formula
Wire.beginTransmission(MCP4725); //Joins I2C bus with MCP4725 with 0x60 address
Wire.write(buffer[0]); //Sends the control byte to I2C
Wire.write(buffer[1]); //Sends the MSB to I2C
Wire.write(buffer[2]); //Sends the LSB to I2C
Wire.endTransmission(); //Ends the transmission
lcd.setCursor(0,0);
lcd.print("A IP:");
lcd.print(adc); //Prints the ADC value from PA0
lcd.setCursor(10,0);
lcd.print("V:"); //Prints the Input Voltage at PA0
lcd.print(ipvolt);
lcd.setCursor(0,1);
lcd.print("D OP:");
lcd.print(analogread); //Prints the ADC value from PA1 (From DAC)
lcd.setCursor(10,1);
lcd.print("V:");
lcd.print(opvolt); //Prints the Input Voltage at PA1 (From DAC)
delay(500);
lcd.clear();
}
Hi, while doing a digital simulation in Proteus I could not get the numeric values in the LCD screen which were to be read and displayed. I have also attached an image of the circuit during simulation to show, can you please share where am I going wrong.![](data:image/png;base64,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