Process control in intensified continuous solids handling

Specifying Complex Process Control Aspects in Workflows for Exception Handling

Contemporary speciication languages of workkow management systems focus on capturing process execution semantics. Constructs are ooered that allow the speciication of sequential execution, iteration, choice, parallelism and synchronisation. While in workkow modelling it is absolutely imperative that exceptions are dealt with properly, virtually no support for the speci-cation of exception handl...

Continuous Structural Monitoring Using Statistical Process Control

A damage detection problem is cast in the context of a statistical pattern recognition paradigm. In particular, this paper focuses on applying statistical process control methods referred to as "control charts" to vibration-based damage detection. First, an auto-regressive (AR) model is fitted to the measured time histories from an undamaged structure. Residual errors, which quantify the differ...

Solteq Continuous Distillation Column with Process Control

Control of a Biological Nitrogen Removal Process in an Intensified Single Reactor Configuration

The nitrogen removing granular sludge process is a novel and intensified process. However, its stable operation and control remains a challenging problem. In this contribution, a new process oriented approach is used to develop, evaluate and benchmark control strategies to ensure stable operation and rejection of disturbances. Three control strategies were developed: a feedforward control (case...

Model Predictive Statistical Process Control - Handling Step Upsets

A feedback-based model predictive control (MPC) approach to product quality improvement that incorporates multivariate statistical techniques has been developed [1]. The objective of the approach is to use existing process measurements to help reduce the variability of product quality when its online measurement is not feasible. The approach is model based and it uses principal component analys...