Tuning PID Loops in Robotics and Automation
PID (Proportional-Integral-Derivative) controllers are widely used to maintain motors, heaters, and robotic arm positions. Finding the correct control gains can be challenging:
- Proportional (Kp): Reacts to the current error. A higher gain speeds up response but can cause oscillation.
- Integral (Ki): Corrects steady-state offsets over time. Prevents static errors but increases overshoot.
- Derivative (Kd): Dampens rate of change to reduce overshoot and settling times.
Ziegler-Nichols vs. Cohen-Coon
This helper calculates starting parameters using two classic open-loop step response methods:
- Ziegler-Nichols: Simple and aggressive, but can result in highly oscillatory closed-loop responses.
- Cohen-Coon: Corrects for dead time / lag ratio drift, offering better stability when dead time is small relative to the time constant.