Two proportional-integral-derivative (PID) controllers can be better than one. Model-following control may be the best choice if it's important to get the process variable to the setpoint without hunting or overshoot.
Next-generation advanced process control (APC) shatters processing barriers for process facilities.
Part 2: Plants and equipment are assembled from objects, and controls architecture should be too. Industrial programmers can realize the productivity of object-oriented programming (OOP) without the complexity by using object-oriented industrial programming (OOIP). See nine ways to determine if a development system supports OOIP.
Articles about multivariable control benefits, control network standards, human-robot interaction, data historians, and IIoT benefits for manufacturers were Control Engineering’s five most clicked articles from May 6-12. Miss something? You can catch up here.
Articles about tuning tips, Engineers' Choice finalists, pharmaceutical manufacturers, machine metrics, and functional safety were Control Engineering’s five most clicked articles from November 5-11, 2018. Miss something? You can catch up here.
The historic challenges of single-loop tuning, the limited success of autotuning, and the modern difficulties of model-based control share the same root cause.
Proportional-integral-derivative (PID) controllers that can automatically select their own tuning parameters sound good, but face challenges.
Nine considerations when selecting a programming language. Ladder logic is favored by manufacturers in discrete industries, but as technology and automation evolve, its usefulness compared to other IEC 61131-3 programming languages and PC programming depends on application complexity and other factors.
Proportional-integral-derivative (PID) controllers that can automatically select their own tuning parameters sound good but face challenges.
Closed-loop quality systems should provide production, quality, traceability, and transparency throughout the production process.