Understand derivative kick, measurement mode and why an unfiltered derivative term amplifies sensor noise.
D(s)=KdTfs+1s
Derivative action reacts to how quickly its input changes. It can add damping and anticipate motion, but differentiation also magnifies high-frequency measurement noise.
01
Derivative on measurement
Differentiating the measured process instead of the error avoids a large derivative kick when the setpoint changes instantly. The disturbance response remains useful because process movement is still visible.
NOISE VIEW 01
Differentiation magnifies fast measurement changes
A small ripple on the measured process becomes a much larger high-frequency derivative contribution.
Measured PVRaw derivativeUnderlying trend
READ THE PLOTA smooth-looking PV can still create actuator chatter
02
The filter time constant
A first-order filter limits the derivative gain at high frequency. Too little filtering allows chatter; too much filtering removes the damping benefit and adds lag.
FILTER VIEW 02
The derivative filter trades chatter for lag
Filtering reduces rapid output movement while preserving enough early derivative action to add damping.
UnfilteredLight filterPractical filter
READ THE PLOTFilter enough to quiet noise—not enough to erase D
03
Judge the actuator, not only the PV
A process value can look smooth while the controller output moves rapidly. RMS effort and total controller variation reveal noise amplification that a response plot can hide.
KICK VIEW 03
Derivative on measurement avoids setpoint kick
Differentiating error sees an ideal setpoint step as an enormous slope. Differentiating measurement responds only when the process actually begins moving.
D on errorD on measurement
READ THE PLOTMeasurement mode separates setpoint commands from damping