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.
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.
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.
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.
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.
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.
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.
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.
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.