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Teaching semiphysical modeling to ChE students using a brine-water mixing tank experiment

chemical engineering Education 2005年第4期39卷 308-315页

作者： Rivera, Daniel E. Arizona State University Tempe AZ 85287-6006 Department of Chemical and Materials Engineering Arizona State University ASU Control Systems Engineering Laboratory

The Arizona State University, developed a curricula for teaching semiphysical modeling to its chemical engineering students using a brine-water mixing tank experiment. The brine-water tank was used in the ECE 394 systems as an ongoing project to help students reconcile the abstraction of mathematical modeling with the realities of a practical system. The main objective of the experiment was to develop useful mathematical models of the tank behavior displaying good predictive ability, using principles and semiphysical modeling techniques. The results show that this experiment can serve as an important role in either an introductory process dynamics and control course or a senior-level unit operations laboratory.

关键词： chemical engineering

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control-relevant curvefitting for plant-friendly multivariable system identification

Control-relevant curvefitting for plant-friendly multivariab...

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2005 American control Conference, ACC

作者： Lee, Hyunjin Rivera, Daniel E. Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University Tempe AZ 85287-6006

A control-relevant parameter estimation algorithm is developed in this paper for curvefitting Empirical Transfer Function Estimates (ETFEs) with orthogonal (i.e., zippered) frequency grids to discrete-time parametric Matrix Fraction Description models. Such ETFEs arise from DFT analysis of identification data generated from constrained, plant-friendly multisine inputs as developed by the authors' previous work. This curvefitter minimizes model estimation error using pre/post frequency-dependent weighting matrices as functions of the closed-loop dynamics. The control-relevant multivariable parameter estimation procedure is illustrated with an example case study based on the Shell Heavy Oil Fractionator problem. ©2005 AACC.

关键词： Multivariable control systems

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A novel model predictive control algorithm for supply chain management in semiconductor manufacturing

A novel model predictive control algorithm for supply chain ...

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2005 American control Conference, ACC

作者： Wang, Wenlin Rivera, Daniel E. Kempf, Karl G. Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Arizona State University Tempe AZ 85287-6006 Decision Technologies Intel Corporation 5000 W. Chandler Blvd. Chandler AZ 85226 United States

ISBN: (纸本)0780390989

Supply chains in semiconductor manufacturing are characterized by integrating dynamics, nonlinearity and high levels of stochasticity. In this paper, we present a novel Model Predictive control (MPC) algorithm for Supply Chain Management (SCM) in semiconductor manufacturing. A Type II filter is designed to attenuate the integrating noise such as that exhibited by unforecasted customer demand. The selection of the filter gain provides the flexibility to achieve better performance and robustness. The forecast of customer demand plays a critical role in the algorithm. The advantages of this novel MPC algorithm are demonstrated through case studies of a representative supply chain problem in semiconductor manufacturing which involve scenarios of customer demand forecast error and anticipated periodic demand. © 2005 AACC.

关键词： Predictive control systems

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control-relevant curvefitting for plant-friendly multivariable system identification

Control-relevant curvefitting for plant-friendly multivariab...

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American control Conference (ACC)

作者： Hyunjin Lee D.E. Rivera Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University Tempe AZ USA

A control-relevant parameter estimation algorithm is developed in this paper for curvefitting empirical transfer function estimates (ETFEs) with orthogonal (i.e., zippered) frequency grids to discrete-time parametric matrix fraction description models. Such ETFEs arise from DFT analysis of identification data generated from constrained, plant-friendly multisine inputs as developed by the authors' previous work. This curvefitter minimizes model estimation error using pre/post frequency-dependent weighting matrices as functions of the closed-loop dynamics. The control-relevant multivariable parameter estimation procedure is illustrated with an example case study based on the Shell heavy oil fractionator problem.

关键词： control systems MIMO Parameter estimation control system synthesis Open loop systems Frequency estimation Polynomials System identification Transfer functions Data analysis

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Hierarchical modelling in biology: Systematic building of limb models

Hierarchical modelling in biology: Systematic building of li...

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作者： Fazekas, C.S. Kozmann, G.Y. Hangos, K.M. Department of Information Systems University of Veszprém Veszprém Hungary Research Institute for Technical Physics and Materials Sciences Department of Biomedical Engineering Budapest Hungary Computer and Automation Research Institute Systems and Control Laboratory Budapest Hungary

ISBN: (纸本)008045108X

A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation signals. The levels, the sub-models on each level and their interconnections are developed and described following a systematic modelling procedure. The computational properties (degree of freedom and differential index) of the developed model have been analyzed and a sub-model has been transformed to meet the index-one requirement for solving the resulting differential algebraic equation (DAE) model by standard methods implemented in MATLAB. The model is extensively verified against engineering expectations using parameter values found in the literature, and a good agreement was found. Parameter sensitivity analysis has also been performed. Copyright © 2005 IFAC.

关键词： Hierarchical systems

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Evaluating PID control for Supply Chain Management: A Freshman Design Project

Evaluating PID Control for Supply Chain Management: A Freshm...

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IEEE Conference on Decision and control

作者： D.E. Rivera M.D. Pew Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Ira A.Fulton School of Engineering Arizona State University Tempe AZ USA

Supply chain management is concerned with the efficient movement of goods through a network of suppliers and retailers. As delayed dynamical systems, supply chains represent an excellent opportunity for illustrating the benefits of engineering control principles to what may normally be perceived as a "business" process. This paper describes an Excel modeling project developed by the authors for a first-year engineering course at Arizona State University that 1) introduces students to a meaningful application of control engineering principles, and 2) enables them to develop their computer-based problem-solving skills. The project contrasts standard inventory management policies based on traditional Economic Order Quantity (EOQ) approaches with a judiciously-designed Proportional-Integral-Derivative (PID) controller in the case of a single inventory in a supply chain. A well-tuned PID-based policy is able to generate effective decisions on orders that ultimately reduce the need for safety stock, eliminate backorders, and mitigate the "bullwhip effect"; such behavior in an actively managed supply chain represents desirable outcomes for the enterprise.

关键词： Three-term control Supply chain management Supply chains Delay systems control systems Application software control engineering Problem-solving Inventory management Pi control

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Towards control-relevant forecasting in supply chain management

Towards control-relevant forecasting in supply chain managem...

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American control Conference (ACC)

作者： J.D. Schwartz D.E. Rivera K.G. Kempf Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA

The focus of this paper is understanding the effects of demand forecast error on a tactical decision policy for a single node of a manufacturing supply chain. The demand forecast is treated as an external measured disturbance in a multi-degree-of-freedom feedback-feedforward internal model control (IMC) based inventory control system. Because forecast error will be multifrequency in nature, the effect of error in different frequency regimes is examined. A mathematical framework for evaluating the effect of forecast revisions in an IMC controller is developed. A simultaneous perturbation stochastic approximation (SPSA) optimization algorithm is implemented to develop an optimal tuning strategy under these conditions. For the IMC-based inventory controller presented it is concluded that the most desirable performance may be obtained by acting cautiously (e.g. implementing small changes to factory starts) to initial forecasts and gradually becoming more aggressive on starts until the actual demand change is realized.

关键词： Supply chain management Demand forecasting Pulp manufacturing Supply chains Predictive models Inventory control Frequency Stochastic processes Approximation algorithms Tuning

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A novel model predictive control algorithm for supply chain management in semiconductor manufacturing

A novel model predictive control algorithm for supply chain ...

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American control Conference (ACC)

作者： Wenlin Wang D.E. Rivera K.G. Kempf Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA

Supply chains in semiconductor manufacturing are characterized by integrating dynamics, nonlinearity and high levels of stochasticity. In this paper, we present a novel model predictive control (MPC) algorithm for supply chain management (SCM) in semiconductor manufacturing. A Type II filter is designed to attenuate the integrating noise such as that exhibited by unforecasted customer demand. The selection of the filter gain provides the flexibility to achieve better performance and robustness. The forecast of customer demand plays a critical role in the algorithm. The advantages of this novel MPC algorithm are demonstrated through case studies of a representative supply chain problem in semiconductor manufacturing which involve scenarios of customer demand forecast error and anticipated periodic demand.

关键词： Predictive models Predictive control Prediction algorithms Supply chain management Virtual manufacturing Semiconductor device manufacture Supply chains Filters Demand forecasting Pulp manufacturing

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HIERARCHICAL MODELLING IN bioLOGY: SYSTEMATIC BUILDING OF LIMB MODELS

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IFAC Proceedings Volumes 2005年第1期38卷 49-54页

作者： Cs. Fazekas Gy. Kozmann K.M. Hangos Department of Information Systems University of Veszprém Veszprém Hungary Department of Biomedical Engineering Research Institute for Technical Physics and Materials Sciences Budapest Hungary Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

关键词： biomedical system model hierarchical system muscle tendon aponeurosis pennation sarcomere

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Nonlinear control Analysis on Nonholonomic Dynamic systems with Affine Constraints

Nonlinear Control Analysis on Nonholonomic Dynamic Systems w...

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IEEE Conference on Decision and control

作者： Tatsuya Kai H. Kimura S. Hara Department of Mechanical Engineering Grad. School of Engineering Osaka University Japan Biological Control Systems Laboratory RIKEN Bio-Mimetic Control Research Center Japan Department of Information Physics and Computing Grad School of Information Science and Technology University of Tokyo Japan

This paper deals with nonholonomic control systems subject to affine constraints. We first derive several preliminary properties of nonholonomic dynamic systems with affine constraints (NDSAC). We then investigate local accessibility and local controllability of the NDSAC based on both Sussmann's theorem and linear approximation approaches. Conditions for local asymptotic stabilizability of the NDSAC by linear state feedback and nonlinear smooth state feedback are also derived. Finally, two physical examples are illustrated to confirm the results.

关键词： Nonlinear control systems control systems control system analysis Vehicle dynamics State feedback Linear approximation Kinematics controllability Linear feedback control systems biological control systems

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