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This guide provides a comprehensive overview of implementing Proportional-Integral-Derivative (PID) control using Tinkercad Circuits , focusing on simulating an Arduino-based PID controller. PID Control Simulation with Arduino in Tinkercad
PID controllers are the industry standard for closed-loop systems, used to maintain a desired state (setpoint) by adjusting an output based on the difference (error) between the setpoint and the actual measured value.
In Tinkercad, you can simulate these control systems using an Arduino Uno and various sensors/actuators without physical hardware. 1. Prerequisites and Components
To build a PID simulation in Tinkercad, you will need to open a new project and assemble the following: Microcontroller: Arduino Uno R3.
Potentiometer (for simulating process variables like distance, temperature, or speed).
DC Motor (for speed control) or Servo Motor (for position control). Motor Driver (e.g., H-Bridge L298N) for DC motor control. Visual Aid: Oscilloscope or Serial Monitor to observe system response. 2. PID Control Circuit Setup (Motor Example) tinkercad pid control
A common simulation is controlling the speed of a DC motor using a potentiometer as a feedback sensor. Motor Driver Connections:
Connect the L298N driver to the Arduino. Connect the DC motor to the L298N output pins. Input/Setpoint:
Connect a potentiometer to an analog pin (e.g., A0) to act as the "desired speed" setter. Feedback/Actual:
Use a second potentiometer (representing the actual speed sensor/encoder) connected to another analog pin (e.g., A1). PWM Control:
Connect the motor driver’s ENA (Enable) pin to a digital PWM pin (e.g., Pin 3) on the Arduino. 3. Implementing PID Code in Tinkercad This guide provides a comprehensive overview of implementing
Tinkercad’s code editor supports standard Arduino C++ code. You can either implement the PID formula manually or include a PID library by pasting the file contents directly into the code tab. Basic PID Code Structure DC MOTOR PID CONTROL - Tinkercad
Here’s a review you can use or adapt for a Tinkercad PID control project, tutorial, or simulation (e.g., for temperature or motor speed control):
In real life, heat changes slowly. We must program this inertia into Tinkercad. Inside the Arduino code, we will create a variable called currentTemp. The PID output will increase or decrease this variable over time.
// Simulated physics function float simulateHeating(float power, float currentTemp) // power is 0-255 (PWM), ambient room temp is 25 degrees C. float ambient = 25.0; float heatLoss = (currentTemp - ambient) * 0.05; // Cools faster if hot float heatGain = power * 0.1; // More power = more heat
currentTemp = currentTemp + heatGain - heatLoss; return currentTemp;
1. The H-Bridge (L293D) & Motor:
2. The Feedback Sensor (Position):
3. The Target Setpoint (Slider):
For motor position control, add a feed-forward term (e.g., a static voltage to overcome friction). Tinkercad allows you to test this without worrying about burning the motor.
The PID output (0-255) goes directly to analogWrite(heaterPin, output). The setpoint is a fixed value (e.g., 400 from the thermistor divider, which corresponds to ~40°C). Step 2: The Virtual Plant (Simulating Physics) In
Tuning insight: Thermal systems have large inertia. You will need a small ( K_p ), a very small ( K_i ) (to avoid windup), and possibly ( K_d = 0 ). Watch the Serial Plotter in Tinkercad to see the temperature rise smoothly to the setpoint without overshooting.
Another fantastic Tinkercad PID project is a temperature regulator using a thermistor and a transistor-controlled heating resistor.
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