Tinkercad Pid Control Info

| Symptom | Likely cause | Fix | |---------|--------------|-----| | No response | dt too large or zero | Use micros(), check prevTime init | | Huge overshoot | Integral windup | Implement clamping & conditional integration | | Chattering output | Derivative noise | Low-pass filter derivative: D = 0.8*prevD + 0.2*newD | | Slow settling | Loop period too long | Reduce PID_INTERVAL to 10–20 ms | | Serial plotter glitches | Too many prints | Print every 5th cycle only |

The continuous PID equation:

[ u(t) = K_p e(t) + K_i \int_0^t e(\tau)d\tau + K_d \fracde(t)dt ]

Discretized for a microcontroller with sampling period ( \Delta t ): tinkercad pid control

[ u[n] = K_p e[n] + K_i \sum_k=0^n e[k] \Delta t + K_d \frace[n] - e[n-1]\Delta t ]

Integral windup mitigation (essential in Tinkercad, because virtual integrators can saturate the PWM range 0–255):
We implement clamping — if ( u[n] > 255 ), set ( u[n] = 255 ) and freeze the integral sum.

Derivative kick reduction: Compute derivative on the Process Variable, not the error (unless Setpoint changes stepwise). | Symptom | Likely cause | Fix |

Goal: Build and simulate a simple PID-controlled temperature system in Tinkercad (Arduino + heater + temperature sensor) and demonstrate tuning and behavior (P, PI, PID).

For a more sophisticated Tinkercad plant (e.g., position-controlled DC motor with inner speed loop), implement:

PID speedPID(1.2, 0.8, 0.05, -100, 100);   // output = torque command
PID posPID (0.5, 0.0, 0.1, -50, 50);      // output = speed setpoint
void loop() 
float position = readEncoder();
float speedCmd = posPID.compute(position);
speedPID.setpoint = speedCmd;
float torque = speedPID.compute(readSpeed());
analogWrite(motorPin, constrain(torque + feedforward, 0, 255));
 The continuous PID equation: [ u(t) = K_p

Feedforward: Add (targetSpeed * 0.75) directly to PWM to reduce integral burden.

Another fantastic Tinkercad PID project is a temperature regulator using a thermistor and a transistor-controlled heating resistor.

Add a button that, when pressed, applies a "load" by subtracting 50 from the feedback pot value (or adding a constant offset to the error). This tests how well your PID rejects disturbances.

Before tuning ( K_p, K_i, K_d ), characterize the virtual plant.