What is a PID?

A PID controller (Proportional-Integral-Derivative) is a control algorithm used to keep a process variable, such as temperature, pressure or flow rate, constant at a desired value (the Setpoint). PID controllers are widely used in PLCs, DCS systems and field instrumentation in industry.

PID is the standard for accurate and stable process control.


🎯 What does a PID control?

A PID continuously compares the measured value (PV - Process Value) with the desired value (SP - Setpoint) and, based on this, drives an output signal (MV - Manipulated Variable) to an actuator such as a valve, motor or pump.


🔍 What do the PID components mean?

Element Full name Effect on control
P Proportional Reacts to the difference between measured value and setpoint (the error)
I Integral Corrects slow, persistent errors (adds memory)
D Derivative Anticipates changes in the error (prevents overshoot)

In formula form:

Output(t) = Kp·e(t) + Ki∫e(t)dt + Kd·de(t)/dt

Where:

  • e(t) = error (SP - PV)
  • Kp, Ki, Kd = tuning parameters

🏭 Examples of PID applications

Application Controls… Actuator
Temperature control Temperature in a tank or oven Heater or cooling valve
Pressure control Pressure in a pipe or vessel Control valve or compressor
Flow control Flow rate of liquid or gas Control valve or variable-frequency drive
Level control Liquid level in a tank Pump or drain valve
Speed control Motor speed on a conveyor belt Variable-frequency drive (VFD)

⚙️ PID in OT systems

System Role in PID
PLC PID blocks in the program execute the control
DCS Central tuning and monitoring of PID loops
SCADA Visualisation of SP, PV, MV and tuning parameters
Historian Logging of PID performance and trend analysis

🔧 PID tuning: why it matters

A poorly tuned PID can cause:

  • Overshoot (the value goes past the setpoint)
  • Slow response or instability
  • Oscillations (values swing around the setpoint)

Tuning is done either manually or automatically using methods such as Ziegler-Nichols or model-based tuning.


📌 In summary

A PID controller keeps process variables automatically at the desired value through smart correction of deviations. It is an essential part of virtually all industrial control processes — reliable, flexible and universally applicable.