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"Plant-Friendly" system identification: a challenge for the process industries

IFAC Proceedings Volumes 2003年第16期36卷 891-896页

作者： Daniel E. Rivera Hyunjin Lee Martin W. Braun Hans D. Mittelmann Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Department of Mathematics and Statistics Arizona State University Tempe Arizona 85287

The term "plant-friendly" system identification has been used within the chemical process control research community in reference to the broad-based goal of accomplishing informative identification testing while meeting the demands of industrial practice. While many different identification topics (such as control-relevant identification, closed-loop identification and optimal input design) can be said to contribute to plant-friendliness in identification, the problem has some unique character of its own. This paper describes some of the issues that motivate plant-friendly identification and presents an overview of some approaches that have been proposed in this topic. The problem of identification test monitoring is presented as a novel means for accomplishing plant-friendly identification.

关键词： plant-friendly system identification chemical process control identification test monitoring

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New in situ sensor modeling approach to measurement validation

New in situ sensor modeling approach to measurement validati...

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作者： Srinivasagupta, Deepak Joseph, Babu Morley, Robert E. Process Control Systems Laboratory Department of Chemical Engineering Washington University One Brookings Drive St. Louis MO 63130 United States Electronic Systems Laboratory Department of Electrical Engineering Washington University One Brookings Drive St. Louis MO 63130 United States Department of Chemical Engineering University of South Florida ENB 118 4202 E. Fowler Avenue Tampa FL 33260 United States

Measurement error due to sensor degradation (fouling, miscalibration, etc.) is more difficult to identify compared to catastrophic sensor failure. Passive methods previously proposed for sensor-level monitoring are based on power spectrum or multiscale analysis of sensor data. These methods have limitations caused by not accounting for various noise sources and assumptions about sensor noise characteristics, thus resulting in false and missed alarms. In this paper, an online sensor fault detection scheme based on the identification of sensor response characteristics is proposed and evaluated. We develop both robust passive and active in situ techniques to identify sensor response characteristics that relate directly to its health. Using the identified sensor model, various kinds of sensor faults are quantified and mapped into the model parameters. A dynamic model-based estimator is proposed for data reconciliation. These ideas were experimentally validated using thermocouples, flowmeters, and resistance thermometric devices on laboratory-scale processes. The proposed approach was seen to accurately quantify the sensor model parameters and aid in measurement reconstruction.

关键词： chemical sensors

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Canonical Correlation Partial Least Squares 13

Canonical Correlation Partial Least Squares

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13th IFAC Symposium on System Identification, SYSID 2003

作者： Kruger, Uwe Joe Qin, S. Intelligent Systems and Control Research Group Queen's University of Belfast BT9 5AH United Kingdom Department of Chemical Engineering University of Texas at Austin TX78712 United States

In this paper. a novel algoritilln. referred to as Canonical Correlation Partial Least Squares or CCPLS is introduced. The core algorithm is based on the deflation procedure of partial least squares and the cost function of Canonical Correlation Analysis for detennining linear combinations of two sets of variables. © 2003 International Federation of Automatic control.

关键词： Linear systems

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"plant-Friendly" system identification: A challenge for the process industries 13

"plant-Friendly" system identification: A challenge for the ...

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13th IFAC Symposium on System Identification, SYSID 2003

作者： Rivera, Daniel E. Lee, Hyunjin Braun, Martin W. Mittelmann, Hans D. Control Systems Engineering Laboratory Department of Chemical and Materials Engineering United States Department of Mathematics and Statistics Arizona State University TempeAZ85287 United States Taxas Instruments Inc. 13570 N. Central Express-way DallasTX75265 United States

The term »plant-friendly» system identification has been used within the chemical process control research community in reference to the broad-based goal of accomplishing informative identification testing while meeting the demands of industrial practice. While many different identification topics (such as control-relevant identification, closed-loop identification and optimal input design) can be said to contribute to plant-friendliness in identification, the problem has some unique character of its own. This paper describes some of the issues that motivate plant-friendly identification and presents an overview of some approaches that have been proposed in this topic. The problem of identification test monitoring is presented as a novel means for accomplishing plant-friendly identification. © 2003 International Federation of Automatic control.

关键词： Religious buildings

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A Model Predictive control framework for robust management of multi-product, multi-echelon demand networks

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Annual Reviews in control 2003年第2期27 II卷 229-245页

作者： Braun, M.W. Rivera, D.E. Flores, M.E. Carlyle, W.M. Kempf, K.G. Contr. Syst. Engineering Laboratory Department of Chemical Engineering Arizona State University Tempe AZ 85287-6006 United States Department of Industrial Engineering Arizona State University Tempe AZ 85287-5906 United States Decision Technologies Intel Corporation 5000 W. Chandler Blvd. Chandler AZ 85226-3699 United States Texas Instruments Inc. MS 3701 13570 N. Central Expressway Dallas TX 75265 United States Control and Dynamical Systems California Institute of Technology MS 107-81 1200 E. California Blvd. Pasadena CA 91125 United States Operations Research Department Naval Postgraduate School Monterey CA 93943 United States

Model Predictive control (MPC) is presented as a robust, flexible decision framework for dynamically managing inventories and meeting customer requirements in demand networks (a.k.a. supply chains). As a control-oriented framework, an MPC-based planning scheme has the advantage that it can be tuned to provide acceptable performance in the presence of significant uncertainty, forecast error, and constraints on inventory levels, production and shipping capacity. The translation of the supply chain problem into a formulation amenable to MPC implementation is initially developed for a single-product, two-node example. Insights gained from this problem are used to develop a partially decentralized MPC implementation for a six-node, two-product, three-echelon demand network problem developed by Intel Corporation that consists of interconnected assembly/test, warehouse, and retailer entities. Results demonstrating the effectiveness of this Model Predictive control solution under conditions of demand forecast error, constraints on capacity, shipping and release, and discrepancies between actual and reported production throughput times (i.e. plant-model mismatch) are presented. The Intel demand network problem is furthermore used to evaluate the relative merits of various information sharing strategies between controllers in the network. Both the two-node and Intel problems show the potential of Model Predictive control as an integral component of a hierarchical, enterprise-wide planning tool that functions on a real-time basis, supports varying levels of information sharing and centralization/decentralization, and relies on combined feedback-feedforward control action to enhance the performance and robustness of demand networks. These capabilities ultimately mitigate the "bullwhip effect" in the supply chain while reducing safety stocks to profitable levels and improving customer satisfaction. © 2003 Elsevier Ltd. All rights reserved.

关键词： Predictive control systems

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Study on the vision-based indoor navigation of an Alife robot

Study on the vision-based indoor navigation of an Alife robo...

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Annual Conference of Industrial Electronics Society

作者： Jiwu Wang H. Kimura M. Sugisaka Department of Electrical and Electronics Engineering Oita University Oita Japan The Institute of Physical and Chemical Research (RIKEN) Bio-Mimetric Control Research Center Nagoya Japan Complex Systems Department of Complexity Science and Engineering The University of Tokyo Tokyo Japan

It is a prerequisite for a mobile robot to realize steady and reliable navigation. But its reliability is often weakened by an unavoidable slip and some incorrigible drift errors of sensors, especially after a long distance navigation. Although perceptual landmarks were solutions to such problems, it is easy to miss landmarks at some specific spots when the robot moves at different speeds, especially at higher speeds. And if the landmarks were put in any intervals, or if the illumination conditions were not good, it is more difficult to find them. In order to detect and extract the artificial landmarks robustly under different illuminating conditions, some low level but robust image processing technique was implemented. The moving speed was controlled with the visual servoing control method. When the robot suddenly can not find some specific landmarks at some specific spots because of the higher speed or rapid turn of the road, it will search for the landmarks based on its intelligence, the inertia of the previous motion, and find the landmark in the shortest time. These methods were verified by the reliable vision-based indoor navigation of an Alife mobile robot.

关键词： Navigation Robot vision systems Robot sensing systems Mobile robots Robustness Intelligent robots Lighting Image processing Visual servoing Roads

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Canonical Correlation Partial Least Squares

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IFAC Proceedings Volumes 2003年第16期36卷 1603-1608页

作者： Uwe Kruger S. Joe Qin Intelligent Systems and Control Research Group. Queen's University of Belfast. BT9 5AH. U.K. Department of Chemical Engineering. The University of Texas at Austin. TX78712. U.S.A.

关键词： Correlation Coefficients Covariance Parameter Identification Identification Algorithms Least Squares Estimation Linear systems

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ASPECT-Advanced control algorithms on industrial controllers 2

ASPECT-Advanced control algorithms on industrial controllers

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2nd IFAC Conference on control systems Design, CSD 2003

作者： Dolanc, G. Gerksic, S. Kocijan, J. Strmcnik, S. Vraneic, D. Bozicek, M. Marinsek, Z. Skrjanc, I. Blazic, S. Stathaki, A. King, R. Hadjiski, M. Boshnakov, K. Jozef Stefan Institute Department of Systems and Control Jamova 39 Ljubljana1000 Slovenia Inead.o.o. Stegne 11 Ljubljana1000 Slovenia Faculty of Electrical Engineering Trias ka 25 Ljubljana1000 Slovenia Polytechnic Nova Gorica Vipavska 13 Novagorica5000 Slovenia Computer Technology Institute 11 Akteou and Poulopoulou St. Athens Greece University of Chemical Techology and Metallurgy Kliment Ohridski Blvd. 8 Sofia Bulgaria

The advanced control system for control of nonlinear, slowly time variant and delayed processes is described in the paper. The proposed control system performs automatic tuning of fuzzy gain-scheduling controller parameters. The parameters are tuned according to a non-linear process model, which is identified by performing simple experiments on the actual process. The proposed control system (ASPECT) is implemented as a software product and currently runs on several PLC platforms. © 2003 IFAC.

关键词： Disturbance rejection

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ASPECT - Advanced control Algorithms on Industrial controllers

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IFAC Proceedings Volumes 2003年第18期36卷 89-93页

作者： G. Dolanc S. Gerkšič J. Kocijan S. Strmčnik D. Vrančić M. Božiček Z. Marinšek I. Škrjanc S. Blažič A. Stathaki R. King M. Hadjiski K. Boshnakov Jožef Stefan Institute Department of Systems and Control Jamova 39 1000 Ljubljana Slovenia Polytechnic Nova Gorica Vipavska 13 5000 Nova gorica Slovenia Inea d.o.o. Stegne 11 1000 Ljubljana Slovenia Faculty of Electrical Engineering Tržaška 25 1000 Ljubljana Slovenia Computer Technology Institute 11 Akteou and Poulopoulou St. Athens Greece University of Chemical Techology and Metallurgy Kliment Ohridski Blvd. 8 Sofia Bulgaria

关键词： PID control Magnitude Optimum controller Tuning Disturbance Rejection Velocity linearisation

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Constrained multisine inputs for plant-friendly identification of chemical processes 15th

Constrained multisine inputs for plant-friendly identificati...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Rivera, D.E. Braun, M.W. Mittelmann, H.D. Control Systems Engineering Laboratory Department of Chemical and Materials Engineering TempeAZ85287 United States Department of Mathematics Arizona State University TempeAZ85287 United States

ISBN: (纸本)9783902661746

This paper considers the use of constrained minimum crest factor multisine signals as inputs for plant-friendly identification testing of chemical process systems. The approach developed in this paper greatly increases their effectiveness in a process control setting by enabling the user to simultaneously specify important frequency and time-domain characteristics of these signals. Two problem formulations meaningful to both linear and nonlinear identification problems are presented. State-of-the-art computational methods are needed to solve the challenging optimization problems associated with crest factor minimization. Copyright © 2002 IFAC.

关键词： Process control

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