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.
Here’s how to build a simple using a virtual Arduino, a temp sensor (TMP36), and a heater (simulated as an LED). tinkercad pid control
A simple example of using Tinkercad's PID control feature is to regulate the temperature of a simulated heating system. By creating a PID controller and connecting it to a temperature sensor and a heating element, users can simulate and optimize the control system to achieve a stable temperature. PID controllers are the industry standard for closed-loop
| Metric | Tinkercad PID | Theoretical ideal | |--------|---------------|--------------------| | Rise time (10–90%) | 0.32 s | 0.28 s | | Overshoot | 6.2% | 4.5% | | Settling time (±2%) | 0.95 s | 0.87 s | | Steady-state error | ±0.3 RPM | 0 | By creating a PID controller and connecting it
Imagine you are driving a car. You want to maintain a speed of 60 mph (the ). Your foot is on the gas pedal (the Output ). The speedometer tells you your current speed (the Process Variable ).
Connect the L298N driver to the Arduino. Connect the DC motor to the L298N output pins. Input/Setpoint: