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.
To discover which real-time data adds value to improve operational efficiencies and increase competitive edge in the marketplace, first understand data acquisition systems and consider the eight essential best practices for data acquisition success
Maximizing process plant profits requires close integration across all levels of an organization.
A study from Flow Research projects the worldwide flowmeter market will grow from $7 billion to almost $9 billion by 2023 as the oil and gas industry continues recovering. Flow measurement technologies advance.
Control Engineering's most clicked articles in October 2019 included stories about the Engineers' Choice finalists, PLC naming conventions, digital engineering practices, RPC and model-based control, and more. Miss something? You can catch up here.
Inside Process: Aging process control systems (PCSs) create nine major problems. There are three good reasons to migrate distributed control systems before obsolescence.
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.