Rainer Dittmar

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A lab equipped with industrial DCS for different control engineering courses

IFAC-PapersOnLine

7. MPC-Regelungen mit nichtlinearen Modellen (NMPC)

Advanced Process Control, 2017

Advanced Process Control

Advanced Process Control, 2017

Model Predictive Control mit MATLAB und Simulink - Model Predictive Control with MATLAB and Simulink

Model Predictive Control mit MATLAB und Simulink - Model Predictive Control with MATLAB and Simulink, 2019

Modellbasierte prädiktive Regelungen (Model Predictive Control, MPC) haben sich in den letzten dr... more Modellbasierte prädiktive Regelungen (Model Predictive Control, MPC) haben sich in den letzten drei Jahrzehnten zu einem leistungsfähigen Ansatz für die Lösung anspruchsvoller Aufgaben der Mehrgrößenregelung mit Beschränkungen der Stell-und Regelgrößen entwickelt. Sie werden in der Industrie inzwischen in vielen Bereichen erfolgreich eingesetzt. Mit der MPC Toolbox des Programmsystems MATLAB®/Simulink® steht ein Werkzeug zur Verfügung, das in der Praxis der Einsatzvorbereitung realer MPC-Regelungen dient, aber auch für die Lehre und Forschung an Universitäten und Hochschulen verwendet wird. Das vorliegende Buch gibt eine Übersicht über die Grundideen und Anwendungsvorteile des MPC-Konzepts. Es zeigt, wie mit Hilfe der Toolbox in MATLAB® und Simulink® MPC-Regelungen entworfen, eingestellt und simuliert werden können. Ausgewählte Beispiele aus dem Bereich der Verfahrenstechnik demonstrieren mögliche Vorgehensweisen und vertiefen das Verständnis. Das Buch richtet sich an in der Industrie tätige Ingenieure, die mit Hilfe von MATLAB®/Simulink® MPC-Regelungen planen, entwickeln und betreiben wollen, aber auch an Studierende unterschiedlicher technischer Fachdisziplinen, die in das Arbeitsgebiet Model Predictive Control einsteigen wollen.

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Model Predictive FCCU Main Fractionator Control - Robustness and Adaptation Aspects

IFAC Proceedings Volumes, 1997

Abstract Model Predictive Control (MPC) strategies became a standard in refinery process control ... more Abstract Model Predictive Control (MPC) strategies became a standard in refinery process control during the last decades. The paper describes the functionality of commercially available MPC technologies focussed on structural adaptation and robustness aspects. The design and perfonnance of a multivariable constraint predictive controller is demonstrated by a control solution for an industrial scale FCCD Main Fractionator.

A lab for undergraduate control engineering education equipped with industrial distributed control systems

Computer Applications in Engineering Education, 2015

The paper demonstrates how a set of pilot plant air blower/heater systems connected to modern ind... more The paper demonstrates how a set of pilot plant air blower/heater systems connected to modern industrial distributed control systems (DCS) are used in different control engineering laboratories for the undergraduate level. Student's tasks include the identification of static and dynamic process models and the tuning and commissioning of Proportional‐Integral‐Derivative (PID) control loops, as well as the utilization of commercial tools for DCS engineering. Using the same pilot plants, DCS and scientific computing environment in different courses lowers the costs, allows the reutilization of results and enables an efficient lab organization. It also supports the process of learning the inner context of different control engineering related subjects. The use of industrial‐scale equipment and commercial software helps students to easily integrate in their later teams and to avoid the “reality shock” when making the transition from academia to industry. © 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:288–296, 2016; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21708

Decentralized SISO Active Disturbance Rejection Control of the Newell-Lee forced circulation evaporator

IFAC-PapersOnLine, 2015

Active Disturbance Rejection Control (ADRC) has received considerable attention in recent years a... more Active Disturbance Rejection Control (ADRC) has received considerable attention in recent years as an effective tool for advanced control practitioners to solve control problems for nonlinear uncertain systems. This paper presents results of a simulation study for the control of an evaporator system benchmark, when a multiple linear ADRC control structure is used, and the controllers are designed based on first and second order linear models approximating the process dynamics. In addition to the control performance under nominal conditions, the robustness with respect to plant-model mismatch is studied. The major advantage of ADRC compared to MPC and PI control approaches is the simple and transparent tuning, and that only a coarse process model is sufficient for the design. For a broader industrial application of ADRC in the process industries, user-friendly off-line design tools as well as real-time ADRC control software for PLCs and DCS still have to be developed.

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349592 PCA Based Blockage Detection in an Industrial Solid State Particle Slurry Stripper

Multivariate statistical methods are a well-established technique for abnormal situation manageme... more Multivariate statistical methods are a well-established technique for abnormal situation management and early event detection (EED). Nevertheless, there are only few publications in the open literature describing real-time industrial applications of EED systems where results are presented to operators rather than advanced control experts. This paper presents the development and on-line deployment of a Principle Component Analysis (PCA) model based EED system for an industrial-scale solid state particle slurry stripper. The developed solution was designed to detect plugging or blockage of the stripping column trays earlier than it is possible using traditional monitoring techniques, and to avoid process disruption and production losses. The paper describes the project steps beginning with the offline development of the PCA model to the online implementation and utilization by operators and plant personnel. In some cases the system was able to detect upcoming plugging events days earl...

Control Performance Monitoring (CPM)

Das Handbuch der Prozessautomation ist ein Standardwerk für die Planung verfahrenstechnischer Anl... more Das Handbuch der Prozessautomation ist ein Standardwerk für die Planung verfahrenstechnischer Anlagen. In der 5., überarbeiteten Version geht es auf die Herausforderung bei der Digitalisierung der Anlage ein. Das Handbuch wurde von fast 50 Experten mit umfassenden Praxiskenntnissen gestaltet und deckt das gesamte Feld der Prozessautomatisierung ab. Der Klassiker Handbuch der Prozessautomatisierung ist von den Herausgebern stark überarbeitet worden. Neue Unterkapitel im Abschnitt „Höhere Ebenen: Informationsverbund und MES“ befassen sich etwa mit den Bereichen Intranet, Cyber Physical Systems oder dem neuen Schlagwort „Industrie 4.0“ und ihrem messbaren Einfluss auf die Prozessautomation. Im ersten Kapitel beleuchten Experten der Branche, darunter Gunther Kegel, Vorstandsvorsitzender des ZVEI-Fachverbandes Automation, den Einfluss der Digitalisierung auf die verfahrenstechnische Anlage. Auf Funktionen und Geräte der Prozessleitebene wird genauso eingegangen wie auf Sensorik und Aktor...

Robuste Einstellung dezentraler PID-Regler in einer Mehrgrößenumgebung Modellbasiert und praxisnah zum optimalen Ergebnis

atp edition - Automatisierungstechnische Praxis, 2009

Moderne Prozessanlagen weisen oft eine starke stoffliche und energetische Integration auf, in der... more Moderne Prozessanlagen weisen oft eine starke stoffliche und energetische Integration auf, in deren Ergebnis ungewunschte Wechselwirkungen zwischen PID-Eingrosenregelkreisen entstehen. Eine sequentielle Vorgehensweise bei der Einstellung der individuellen PID-Regler ist zeitaufwandig und fuhrt nicht zu einem optimalen Gesamtergebnis. Der Beitrag stellt eine Methode und ein darauf aufbauendes Software-Werkzeug vor, die es erlauben, optimale Reglerparameter fur PID-Eingrosenregler in einer Mehrgrosenumgebung zu bestimmen und die Regler gemeinsam in einem Schritt zu parametrieren.

Use of an industrial distributed control system in conjunction with Matlab/Simulink for process control education

IFAC Proceedings Volumes, 2012

Abstract The paper demonstrates how a four-tank laboratory process equipped with a modern distrib... more Abstract The paper demonstrates how a four-tank laboratory process equipped with a modern distributed control system (DCS) is used in different control engineering laboratories for the undergraduate and graduate levels. This includes the utilization of commercial tools for DCS engineering as well as the design and commissioning of traditional and advanced control solutions. Matlab/Simulink tools are connected via OPC to extend the laboratory scope with rapid control prototyping and hardware-in-the-loop simulation. Using the same pilot plant, DCS and scientific computing environment in different courses lowers the costs, allows the reutilization of results and enables an efficient lab organization. It also supports the process of learning the inner context of different process control related subjects.

Real-Time Application of Multivariate Statistical Methods for Early Event Detection in an Industrial Slurry Stripper

Proceedings of the 19th IFAC World Congress, 2014

Multivariate data analysis (MDA) is a well-established technique for abnormal situation managemen... more Multivariate data analysis (MDA) is a well-established technique for abnormal situation management and early event detection (EED). This paper presents the development and on-line deployment of a Principle Component Analysis (PCA) model based EED system for an industrial-scale slurry stripper processing a solid state particle suspension. The developed solution was designed to detect plugging or blockage of the stripping column trays earlier than it is possible using traditional monitoring techniques and to avoid process disruption and production losses. The paper describes the project steps from data selection and preparation to the online implementation and utilization by operators and plant personnel. It was developed within a close collaboration between university and industry.

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Modellbasierte prädiktive Regelung

Modellbasierte prädiktive Regelung, 2004

Integration von MPC in die Architektur moderner Prozessleitsysteme

Modellbasierte prädiktive Regelung

Robust optimization-based multi-loop PID controller tuning: A new tool and its industrial application

Control Engineering Practice, 2012

Modern process plants are highly integrated and as a result, decentralized PID control loops are ... more Modern process plants are highly integrated and as a result, decentralized PID control loops are often strongly interactive. The iterative SISO tuning approach currently used in industry is not only time consuming, but does also not achieve optimal performance of the inherently multivariable control system. This paper describes a method and a software tool that allows control engineers/technicians to calculate optimal PID controller settings for multi-loop process systems. It requires the identification of a full dynamic model of the multivariable system, and uses constrained nonlinear optimization techniques to find the controller parameters. The solution is tailored to the specific control system and PID algorithm to be used. The methodology has been successfully applied in many industrial advanced control projects. The tuning results that have been achieved for interacting PID control loops in the stabilizing section of an industrial Gasoline Treatment Unit as well as a Diesel Desulfurization plant are presented.

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Multiple use of an industrial-distributed control system in control engineering education

Computer Applications in Engineering Education, 2011

ABSTRACT The paper demonstrates how a four-tank laboratory process equipped with a modern distrib... more ABSTRACT The paper demonstrates how a four-tank laboratory process equipped with a modern distributed control system (DCS) is used in different control engineering laboratories for the undergraduate and graduate levels. This includes the utilization of commercial tools for DCS engineering as well as the design and commissioning of traditional and advanced control solutions. Using the same pilot plant and control system in different modules lowers the costs, allows the reutilization of results and enables an efficient laboratory organization. It also supports the process of learning the inner context of different process control related subjects. Comput Appl Eng Educ © 2011 Wiley Periodicals, Inc.

Predictive control of a nonlinear open-loop unstable polymerization reactor

Chemical Engineering Science, 1991

ABSTRACT

Calculation of optimal design margins for compensation of parameter uncertainty

Chemical Engineering Science, 1976

Abstract A method for the compensation of parameter uncertainties in the design of process system... more Abstract A method for the compensation of parameter uncertainties in the design of process systems by optimal selection of design margins (safety factors) according to Takamatsu is enlarged by considerations about the linearisability of the mathematical model, the selection of the signs of parameter deviations, and the inclusion of nonlinear inequality constraints. The method is compared with the non-linear minimax strategy. Both procedures are applied to a reactor-separator system.

Predictive Control in Process Engineering—From the Basics to the Applications By R. Haber, R. Bars and U. Schmitz

AIChE Journal, 2012

Modellbasierte prädiktive Regelung in der industriellen Praxis (Industrial Application of Model Predictive Control)

at - Automatisierungstechnik, 2006

Modellbasierte prädiktive Regelungen (MPC) haben sich in der Prozessindustrie zur Standard-Techno... more Modellbasierte prädiktive Regelungen (MPC) haben sich in der Prozessindustrie zur Standard-Technologie für die Lösung anspruchsvoller Mehrgrößen-Regelungsaufgaben entwickelt. Der vorliegende Beitrag erläutert Grundlagen, Anwendungseigenschaften und Ursachen für den industriellen Erfolg von MPC, gibt eine Übersicht über Aufbau und Funktionen kommerziell verfügbarer MPC-Programmsysteme und zeigt aktuelle Entwicklungstrends auf.

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