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IEEE Annual Conference on Decision and control

作者： Zhiqiang Zuo Youhua Fu Yijing Wang Chanying Li Michael Z. Q. Chen Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Academy of Mathematics and Systems Science Chines Academy of Sciences Department of Mechanical Engineering The University of Hong Kong

ISBN: (纸本)9781467320658

The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all the states starting from the origin by inputs with peak-values. The constraint with a special structure that appeared in our previous result is removed by combining the Jensen integral inequality and the reciprocally convex approach. In addition, the obtained condition brings a tighter reachable set estimation with lower computational complexity. We also extend the above result to systems with polytopic uncertainties. Finally, an example is presented to illustrate the merit of our proposed method.

关键词： delay distribution Linear system discrete element Ellipsoid complexity classes Bound Set (Psychology)

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Damage analysis on a graded porous biocomposite structure under flexural load using FEM

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Strength, Fracture and Complexity 2011年第3期7卷 241-252页

作者： Tang, C.Y. Tsui, C.P. Wei, L. Wang, Z.W. Department of Industrial and Systems Engineering Hong Kong Polytechnic University Kowloon Hong Kong Department of Process Equipment and Control Engineering Dalian University of Technology Dalian China

A multi-level finite element (FE) method was developed to firstly study the mechanical responses and progressive damage behaviors of graded porous structures made of hydroxyapatite particle reinforced polymer biocomposite (HA/PEEK) under flexure load. In order to bridge the mechanical properties of the base material, damage and failure criteria of the building blocks for the graded porous structure, and macroscopic response of the structure, three-level FE models from micro-, meso- to macro-scale were established. A graded porous biocomposite implant was considered as a continuum structure with a solid section and a porous section with a gradient change in porosity from 29.5 to 80.9% in six equal steps. The macro-scale FE model of the implant was then constructed from the meso-scale unit cubic-shaped cell model, which was made of beam elements with a fixed length but a gradient change in their cross-section areas depending on the porosity level. The base material of the structure, HA/PEEK, was obtained from our previous work through a micro-scale unit cell model consisting of the particle and polymer matrix for predicting its stress-strain relation with dependence on variation of HA volume fraction. By adoption of the proposed method, a virtual three-point bending test was simulated to predict force-displacement relations of the implant and its damage initiation and propagation in both graded and uniform porous structures under flexural load. The trend of the predicted results agreed with those reported in open literature. © 2011/2012 - IOS Press and the authors. All rights reserved.

关键词： Finite element method

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Confidence interval assessment for Charpy impact energy predictions - A Gaussian Mixture Model (GMM)-based approach

Confidence interval assessment for Charpy impact energy pred...

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作者： Yang, Y.Y. Mahfouf, M. Panoutsos, G. Institute for Microstructural and Mechanical Process Engineering Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD United Kingdom

ISBN: (纸本)9783902661937

One of the obstacles of applying data-driven models in industry is the lack of confidence in the accuracy of the model predictions. One way of overcoming this is by adding a confidence interval on the predictions. In this paper, we propose a new approach for the confidence interval assessment for model predictions based on a Gaussian Mixture Model (GMM) framework. The advantages of the presented approach include its capability to handle complicated non-white noise sequences, the ability to provide an accurate confidence interval, and its independence to the type of the data model to be assessed. The proposed approach is applied to an industrial case study: the Charpy impact energy prediction, which includes real industrial data containing a significant noise component and with an inherited sparse data distribution. The resulting confidence intervals reflect the prediction uncertainty against the test data. Furthermore, the GMM-based approach can also be used for model bias correction. The GMM-based confidence interval assessment for data driven models represents a valuable contribution especially in the case of critical applications. © 2011 IFAC.

关键词： Forecasting

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Knowledge-based diagnosis of process systems using procedure HAZID information

Knowledge-based diagnosis of process systems using procedure...

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Lecture Notes in Computer Science

作者： Werner-Stark, Ágnes Németh, Erzsébet Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary School of Chemical Engineering University of Queensland Brisbane QLD Australia Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783642238536

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure. © 2011 Springer-Verlag.

关键词： Hazards

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Comparison Study between a Simple Sensorless Method and Adaptive Observer for DTC-SVM Five-Phase Induction Motor Drive

Comparison Study between a Simple Sensorless Method and Adap...

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IEEE Interantional Conference on Industrial Technology

作者： B. S. Khaldi H. Abu-Rub A. Iqbal R. Kennel M. O. Mahmoudi D. Boukhetala Department of Electrical Engineering Faculty of Science and Engineering Djelfa University Algeria Department of Electrical & Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical Engineering College of Engineering Qatar University Qatar Institute for Electrical Drive Systems and Power Electronics Technische Universitat Munchen Munich Germany Laboratory of Process Control National Polytechnic School Algiers Algeria

ISBN: (纸本)9781467303408;9781467303422

This paper highlights the differences between a simple sensorless method and an adaptive flux and speed observer for a five-phase induction motor control. The drive is controlled using space vector modulation direct torque control (DTC- SVM) approach. The power measurement used for speed computation is simple, with a minimum processor time and memory, and relatively robust against parameters variation when compared with the adaptive observer based approach. Simulation verification and real time implementation are presented in the paper.

关键词： direct torque control (DTC) space vector modulation (SVM) Five-phase induction machine speed sensorless power measurement adaptive observer

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Tuning PI controllers based on ∞ Weighted Sensitivity

Tuning PI controllers based on ∞ Weighted Sensitivity

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2011 19th Mediterranean Conference on control and Automation, MED 2011

作者： Alcántara, S. Skogestad, S. Grimholt, C. Pedret, C. Vilanova, R. Department of Telecommunications and Systems Engineering Universitat Autònoma de Barcelona 08193 Cerdanyola Barcelona Spain Department of Chemical Engineering Process Control Group Norwegian University of Science and Technology N-7491 Trondheim Norway

ISBN: (纸本)9781457701252

H∞ control theory is usually associated with highorder controllers. In this paper, simple tuning rules (extending the well-known SIMC) for the Proportional-Integral (PI) algorithm are derived analytically based on H∞ Weighted Sensitivity. The presented approach deals with stable, integrating and unstable plants in a unified way, avoiding any notion of coprime factorization. The final tuning involves two adjustable parameters, λ and υ with clear engineering meaning: λ selects the Robustness/Performance compromise, whereas υ allows to balance the Servo/Regulator performance. Based on this, several application scenarios are considered. First, a One-Degree-Of-Freedom (1-DOF) PI controller is assumed. Second, 2-DOF and switched implementations are investigated. © 2011 IEEE.

关键词： Degrees of freedom (mechanics)

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Discrete event model structure identification using process mining

Discrete event model structure identification using process ...

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31st IASTED International Conference on Modelling, Identification, and control, MIC 2011

作者： Werner-Stark, Agnes Gerzson, Miklós Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetemstr. 10 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9780889868632

A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.

关键词： Discrete event simulation

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Confidence Interval Assessment for Charpy Impact Energy Predictions – A Gaussian Mixture Model (GMM)-Based Approach

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IFAC Proceedings Volumes 2011年第1期44卷 11738-11743页

作者： Y.Y. Yang M. Mahfouf G. Panoutsos Institute for Microstructural and Mechanical Process Engineering Department of Automatic Control & Systems Engineering University of Sheffield Sheffield S1 3JD UK

Abstract One of the obstacles of applying data-driven models in industry is the lack of confidence in the accuracy of the model predictions. One way of overcoming this is by adding a confidence interval on the predictions. In this paper, we propose a new approach for the confidence interval assessment for model predictions based on a Gaussian Mixture Model (GMM) framework. The advantages of the presented approach include its capability to handle complicated non-white noise sequences, the ability to provide an accurate confidence interval, and its independence to the type of the data model to be assessed. The proposed approach is applied to an industrial case study: the Charpy impact energy prediction, which includes real industrial data containing a significant noise component and with an inherited sparse data distribution. The resulting confidence intervals reflect the prediction uncertainty against the test data. Furthermore, the GMM-based approach can also be used for model bias correction. The GMM-based confidence interval assessment for data driven models represents a valuable contribution especially in the case of critical applications.

关键词： Data-driven model confidence interval residual error Gaussian Mixture Model Charpy impact energy

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Computing realizations of reaction kinetic networks with given properties

Computing realizations of reaction kinetic networks with giv...

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International Research Workshop: Coping with Complexity: Model Reduction and Data Analysis

作者： Szederkényi, Gábor Hangos, Katalin M. Csercsik, Dávid Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences Budapest 1518 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 Veszprém 8200 Hungary

ISBN: (纸本)9783642149405

The solution to the problem of finding the reaction kinetic realization of a given system obeying the mass action law containing the minimal/maximal number of reactions and complexes is shown in this paper. The proposed methods are based on Mixed Integer Linear Programming where the mass action kinetics is encoded into the linear constraints. Although the problems are NP-hard in the current setting, the developed algorithms give a usable answer to some of the questions first raised in [1].

关键词： Reaction kinetics

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Mass action realizations of reaction kinetic system models on various time scales

Mass action realizations of reaction kinetic system models o...

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作者： Hangos, K.M. Szederkényi, G. Process Control Research Group Computer and Automation Reseach Institute Kende u. 13-17 Budapest H-1111 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 Veszprém Hungary

Complex chemical reaction networks often exhibit different dynamic behaviour on different time scales. A combined approach is proposed in this work for determining physically meaningful mass action realizations of complex chemical reaction networks that describe its dynamic behaviour on different time scales. This is achieved by appropriately reducing the detailed overall mass action kinetic scheme using quasi steady state assumptions fit to the particular time scale, and then searching for an optimal realization using mixed integer linear programing. Furthermore, the relationship between the properties (reversibility, deficiency, stability) of the obtained realizations of the same system on different time scales are also investigated and related to the same properties of the detailed overall model. It is shown that the reduced models obtained by quasi steady state assumptions may show exotic nonlinear behaviour, such as oscillations, when the original detailed is globally asymptotically stable. The proposed methods are illustrated by using a simple Michaelis-Menten type reaction kinetic example. The simplified versions of the well known Brusselator model have also been investigated and presented as a case study. © Published under licence by IOP Publishing Ltd.

关键词： Reaction kinetics

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