Tinkercad Pid Control

In Tinkercad, you can simulate these control systems using an Arduino Uno and various sensors/actuators without physical hardware. 1. Prerequisites and Components

interact to create stable automated systems before ever touching physical hardware.

#include <LiquidCrystal.h> // Optional for display

double Kp = 2.0, Ki = 0.5, Kd = 1.0; // These are your "tuning" parameters double setpoint, input, output; double error, lastError, cumError, rateError; void loop() input = readSensor(); // Get current position setpoint = readPotentiometer(); // Get desired position error = setpoint - input; // Calculate the gap cumError += error; // Integral: Sum of errors over time rateError = error - lastError; // Derivative: Change in error // The PID Formula output = (Kp * error) + (Ki * cumError) + (Kd * rateError); driveMotor(output); // Apply the correction lastError = error; // Save for next loop delay(10); Use code with caution. How to Tune Your PID in Tinkercad tinkercad pid control

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.

The Integral term eliminates steady-state error by looking at historical error. It tracks how long the system has been sitting below or above the target and accumulates value over time.

This looks at the past . If you have been going 58 mph for the last 10 seconds, the Integral accumulates that error and pushes the gas pedal a little more to close the gap completely. Flaw: Too much Integral causes "windup" and overshoot. In Tinkercad, you can simulate these control systems

Proportional control alone suffers from steady-state error . As the system nears the target, the error shrinks, the correction drops to near zero, and the system stalls just short of the goal. 2. Integral (I) – The Past

// Clamp output to PWM range (0 to 255) if (output > 255) output = 255; if (output < 0) output = 0;

Potentiometers (to set the target) or Ultrasonic Distance Sensors. DC Motors (with H-Bridge) or Micro Servos. Visualizer: Serial Plotter #include <LiquidCrystal

: Use a DC motor with an encoder to maintain a precise RPM. The PID controller adjusts the

Connect Pin 8 (VCC2) to the positive terminal of the 9V battery.

While you can use the library in real life, in Tinkercad it is often easier to write a simple manual loop:

Connect the left terminal of both potentiometers to the Arduino rail, and the right terminals to GND .

Mastering PID Control in Tinkercad: A Step-by-Step Guide to Hardware Simulation