PID, APC

Industry expected model-predictive control (MPC) to naturally expand into the multi-loop control (MLC) region, but that never happened; MPC costs of ownership remain high and MPC remains primarily a high-end solution. MLC represents an important, but under-developed part of the APC matrix spectrum. Courtesy: Control Engineering webcast, Advanced process control: Past, present and future.
PID, APC January 27, 2020

Top 5 Control Engineering articles January 20-26

Articles about the System Integrator Giants, advanced process control, robotics and AI in agriculture, improved process control engineering, and revamped HMIs were Control Engineering’s five most clicked articles from January 20-26. Miss something? You can catch up here.

By Chris Vavra
PID, APC January 15, 2020

Advanced process control: More answers

After a webcast on “Advanced process control: Past, present and future,” more answers to audience questions are provided by the webcast speaker covering advanced process control (APC) to help with process optimization.

By Allan Kern
PID, APC December 2, 2019

Operation-driven matrix design

A multivariable control matrix has manipulated variables (MVs) on one axis, controlled variables (CVs) on the other axis, and models in the matrix that indicate a relationship between that MV/CV pair. Effective multivariable controllers use the right models for various control and optimization needs.

By Allan Kern
PID, APC October 7, 2019

Top 5 Control Engineering articles September 30 to October 6

Articles about RPC and model-based control, water/wastewater applications, OOIP, advanced process control, and prolonging power plant life were Control Engineering’s five most clicked articles from September 30 to October 6. Miss something? You can catch up here.

By Chris Vavra
PID, APC September 18, 2019

Five advanced process control, data analytics connections

Are there connections between advanced process control (APC) and data analytics? Recent developments in the field of information technology (IT) and its use in the manufacturing world provide insights.

By Jim Ford, Ph.D.
PID, APC September 18, 2019

OOIP Part 3: interfaces and methods

Interfaces and methods used in object-oriented industrial programming (OOIP) help deliver productivity of object-oriented programming (OOP) without the complexity. Because plants and equipment are assembled from objects, it’s logical that their control programming should be, too.

By Gary L. Pratt, P.E.
PID, APC September 9, 2019

Advantages of RPC and limits of model-based control

Part 3: Rate-predictive control, an alternative algorithm to proportional-integral-derivative (PID) and model-based control, can provide single-loop control. See three RPC advantages and two model-based control limitations.

By Allan Kern
PID, APC September 9, 2019

Top 5 Control Engineering articles September 2-8

Articles about model-following control, industrial controller cybersecurity, machine learning, improving engineer retention, and IIoT platforms were Control Engineering’s five most clicked articles from September 2-8. Miss something? You can catch up here.

By Chris Vavra
PID, APC August 30, 2019

The basics of model-following control

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.

By Control Engineering
PID, APC August 7, 2019

Advanced process control improves refinery, chemical plant operations

Next-generation advanced process control (APC) shatters processing barriers for process facilities.

By Hiroshi Wakasugi and Sanjay Venugopal