Gaussian Process Model Based Performance Assessment of Control Loop

Using process topology in plant-wide control loop performance assessment

This contribution describes how disturbances in a control system can be isolated and diagnosed automatically based on plant topology. In order to demonstrate this, a prototype software has been designed and implemented which, when given an electronic process schematic of a plant and results from a data-driven analysis, allows the user to pose queries about the plant and to find root causes of p...

Simultaneous Control Loop Performance Assessment and Process Identification Based on Fractional Models¬ネラ

Control loop performance assessment procedures are established as key cornerstone of process optimization and monitoring. Unfortunately, many methods do not consider the maximum possible performance which can be achieved by the fixed structure controller installed in the loop (typically PID). In authors’ recent work such method was described. It was shown that – with respect to classical minimu...

Model-Based Closed-Loop Control of the Hydraulic Fracturing Process

Process Performance through Critical Control Loop Optimization

In the refining industry, process optimization typically begins with a process engineer collecting operation data to perform a heat and weight balance and to evaluate the catalyst activity. Based on the current trends and operating conditions, the setpoint(s) on critical process control loops (loops that affect unit stability and bottom line economic benefits) may need to be adjusted manually o...

Gaussian Process for Internal Model Control

Abstract — To improve transparency and reduce the curse of dimensionality of non–linear black–box models, the local modelling approach was proposed. Poor transient response of Local Model networks led to the use of non–parametrical probabilistic models such as the Gaussian Process prior approach. Recently, Gaussian Process models were applied in the Minimum Variance Control. This paper introduc...