Knowledge about process control, without the noise.

Practical articles on PID controllers, process dynamics and recognising unrest in your process. Written for everyone who works with a plant, from control room to management.

Two bar charts side by side. Honeywell, 2002, 26,000 PID controllers: 32% acceptable or excellent, 32% fair or poor, 36% in manual or at a limit. ABB, 2016, about 600,000 PID control loops: 25% improves the process, 30% in manual, 30% increases variability, 15% output out of range.

How do control loops perform in practice? What the research says

Research into hundreds of thousands of PID control loops keeps showing the same picture: a large share is in manual, oscillates or runs into a limit. The figures, the sources and the caveats.

Industrial process plant with pipework, storage tanks and a control valve with actuator.

Process control: the basics of industrial control engineering

How does process control work in the process industry? Learn how feedback, feedforward and process dynamics come together in stable, well-performing control.

Diagram of a PID control loop: the setpoint goes to the comparator, the PID controller calculates a new valve position from the control error, the control valve acts on the process and the measured process variable returns to the comparator via the measurement.

PID controller explained: how it works, settings and process dynamics

How does a PID controller work? Learn what P, I and D do, how process dynamics determine the right settings and how to recognise control behaviour in trend data.

Would you rather know what this means for your process?

Reading is a good start, but your own trend data tells the real story. The PID Performance Scan is free and shows where the unrest in your control loops comes from.