Tuning is the process of finding the right values for Kp, Ki, and Kd. In Tinkercad, you can use the to see this visually.
Testing PID loops on physical hardware can be risky and expensive. An unstable feedback loop can burn out motors or break mechanical parts.
// convert ADC to temperature for 10k NTC (simple approximation) double adcToTemp(int adc) double V = adc * (5.0 / 1023.0); double Rfixed = 10000.0; double Rntc = Rfixed * (5.0 / V - 1.0); // Steinhart-Hart (approx constants for common 10k NTC) const double A = 0.001129148; const double B = 0.000234125; const double C = 8.76741e-08; double lnR = log(Rntc); double invT = A + B*lnR + C*lnR*lnR*lnR; double Tkelvin = 1.0 / invT; return Tkelvin - 273.15; tinkercad pid control
// Clamp output to PWM range (0 to 255) if (output > 255) output = 255; if (output < 0) output = 0;
You can use the serial monitor to plot the set point versus actual value, making tuning intuitive. Tuning is the process of finding the right
The error is simple: Error = Setpoint - Current Speed .
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. An unstable feedback loop can burn out motors
A temperature control system is a common application of PID control. In this example, we will use Tinkercad to simulate a temperature control system using a PID controller.
The classic beginner's project for PID on Tinkercad is . This demonstrates how the controller recovers the motor's speed when a load (resistance) is applied. The following step-by-step guide focuses on DC motor speed control; a full example code is provided later.