Advanced Process Control Strategies Research Articles

Advanced process control for biological nutrient removal

We introduce an Australian collaborative research and development project aimed at implementing advanced process control strategies to biological nutrient removal wastewater treatment plants. We show why process control is a key technology for the future of this industry and present several control ‘tools’ which we have developed.

Advanced process control for biological nutrient removal

We introduce an Australian collaborative research and development project aimed at implementing advanced process control strategies to biological nutrient removal wastewater treatment plants. We show why process control is a key technology for the future of this industry and present several control ‘tools’ which we have developed.

Feedback Control of a Recombinant Fed-Batch Fermentation Using On-Line HPLC Measurements

Reliable on-line measurements of state variables in bioprocesses are scarce. It is one of the major stumbling blocks in the development of advanced process control strategies such as process modeling, identification, and optimization in industrial fermentations. In this work, an integrated HPLC system is studied and tested in a real-time feedback control operation. The sampling period of the HPLC system is too large for effective on-line process control of state variables. Other techniques such as Extended Kalman Filters may be combined with the on-line measurements to improve process control.

Modelling and Advanced Process Control for FCCU

Process outputs are usually affected by unmeasurable disturbances and noise, so that it is difficult to get a satisfied control performance in industry if a conventional PID controller is used. In this paper several advanced process control strategies have been adopted to sovle this problem. For using those control algorithms a mathematical model should be developed at first. Since process outputs are affected by the unmeasurable disturbance a model with error less than is created by using ML method. After that internal model control and inferential control strategies are studied. The effect caused by those factors can be separated and estimated from the secondary measurable outputs, and then one can be crippled and overcome by those advanced controllers. Some useful results are obtained from the expriment and simulation of FCCU as a real example. The control performances are much better than that of PID. System robustness is studied as well.

Simulation in der Prozeßleittechnik

AbstractSimulation in process control. Distributed control systems provide their users with many potential benefits which are exhaustively used only in a small number of applications. Distributed control systems supply process data in real time in a digital format. When processing these data together with process models, the advantages of distributed control systems can be considerably extended. Process models are understood as mathematical systems containing a‐priori knowledge about processes in a numerical or logical form. In the context of distributed control systems, some new and exciting applications of modelling and simulation techniques become accessible. Basic concepts of these specific techniques are described in this contribution. A collection of potential and realized applications show that these methods allow for a more detailed observation and for advanced process control strategies.

Human factors aspects of advanced process control

Energy conservation practices, such as heat recovery and integration, require that many chemical and related processes use advanced control systems. Many of the more advanced process control strategies and algorithms can cause operator confusion, leading to incorrect operator actions and negating the advantages of the advanced control. If the operator makes a mistake and upsets the process, or fails to respond correctly to a process upset, the loss can exceed the possible savings of the advanced control. Further, the experience can result in the operator not using the control capability in the future. Display and man/machine interface techniques, based on an understanding of human factors and of an operator1s typical analysis of a process, can be used to present information to the o~era tor in a manner which will prevent confusion. This paper discusses techniques for selecting and displaying process and control information to the operator.