PID, APC
Top 5 Control Engineering articles April 25 to May 1, 2022
Articles about PID implementation, oil and gas, information control, quality of service and remote intelligence were Control Engineering’s five most-viewed articles from April 25 to May 1, 2022. Miss something? You can catch up here.
Control Engineering hot topics, April 2022
Control Engineering's most clicked articles in April 2022 included stories on optimal loop tuning, Engineers' Choice winners, PID, easy Industrial IoT and expanding manufacturing capabilities. Miss something? You can catch up here.
PID-correction-based control system implementation
The analog PID controller, still considered as the most powerful, can be modified as a discrete-time control system. Equations and examples follow.
Top 5 Control Engineering articles April 4-10, 2022
Articles about optimal loop tuning, IIoT implementation, Engineers' Choice winners, IIoT and manufacturing and information control were Control Engineering’s five most-viewed articles from April 4-10, 2022. Miss something? You can catch up here.
Top 5 Control Engineering articles February 28 to March 6, 2022
Articles about Engineers' Choice winners, advanced process controls, VFDs basics, HMIs and tuning a PM motor with a VFD were Control Engineering’s five most-viewed articles from February 28 to March 6, 2022. Miss something? You can catch up here.
Understanding the critical role of metrics for advanced process controls
Advanced process controls (APC) requires appropriate metrics, or key performance indicators (KPIs) to ensure safe, efficient operations. Alarms, relief valves, safety systems and APC need monitoring. Learn five good APC metrics, the missing metric and four recommended practices for APC metrics.
Top 5 Control Engineering articles January 24-30, 2022
Articles about the Control Engineering table of contents, artificial neural networks, IT/OT convergence, industrial automation and integrated cybersecurity were Control Engineering’s five most clicked articles from January 24-30, 2022. Miss something? You can catch up here.
Introduction to artificial neural networks in control applications
Practical applications of artificial neural networks (ANNs) for control systems, especially for non-linear systems, include simulating time-optimal controllers and for ANN-based controlled system (plant) models. Such models, combined with classical proportional-integral-derivative (PID) controllers, can enable adaptive and other, more sophisticated, control systems.
Evaluating different PID forms
A theoretical basis for effects of different proportional-integral-derivative (PID) forms on idealized line 1st & 2nd order systems.
Top 5 Control Engineering articles November 29 to December 5, 2021
Articles about Engineers' Choice finalists, finite-state machines, AI shortcuts, nanotube-based sensors and SCADA and automation were Control Engineering’s five most clicked articles from November 29 to December 5, 2021. Miss something? You can catch up here.