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LQG control WITH RECONFIGURABLE STATE ESTIMATOR UNDER SENSOR AND ACTUATOR FAILURES

IFAC Proceedings Volumes 2007年第5期40卷 147-152页

作者： Ujjwal S. Zamad Anjali P. Deshpande Sachin C. Patwardhan Systems and Control Engineering and Department of Chemical Engineering Indian Institute of Technology Bombay Powai Mumbai 400076 India

Occurrences of sensor / actuator failures can lead to significant degradation in the closed loop performance when conventional feedback controllers are used. In this work, we propose an active failure tolerant LQG (FTLQG) control scheme, which employs model based fault diagnosis for on-line reconfiguration of state estimator on diagnosis of failures. Generalized likelihood ratio (GLR) method proposed in the literature is extended for diagnosis of sensor failures. Recurrence relationships are derived for diagnosing sensor failures, which are amenable for on-line computations. The efficacy of the proposed FTLQG scheme is demonstrated using simulation and experimental studies on a laboratory scale heater-mixer setup.

关键词： Sensor and Actuator Failures Generalized Likelihood Ratio Kalman Filter LQG

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Collective coordinates and the mechanism for conformational transitions of complex molecules

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PAMM 2008年第1期7卷

作者： Tomohiro Yanao Wang S. Koon Jerrold E. Marsden Ioannis G. Kevrekidis Fukui Institute for Fundamental Chemistry Kyoto University Kyoto 606-8103 Japan Control and Dynamical Systems MC 107-81 California Institute of Technology Pasadena California 91125 USA Department of Chemical Engineering and PACM Princeton University Princeton New Jersey 08544 USA

Reduction of dimensionality is crucial for the deeper understanding of the mechanism for large-amplitude conformational transitions of complex molecules. By taking up a six-atomcluster as an illustrative example, we present a general methodology to understand conformational transitions of molecules in terms of the low-dimensional dynamics of molecular gyration radii. The dynamics of gyration radii is generally governed by the interplay between the ordinary potential force and a dynamical force called the internal centrifugal force. We show that the internal centrifugal force can be more important than the original potential barrier and gives rise to a new dynamical barrier that truly dominates the conformational transitions of the system. This kind of dynamical effect should be crucially important in a wide class of molecular reaction dynamics. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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Federated filtering for fault tolerant estimation and sensor redundancy management in coupled dynamics distributed systems

Federated filtering for fault tolerant estimation and sensor...

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2007 Mediterranean Conference on control and Automation, MED

作者： Edelmayer, A. Miranda, M. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 Budapest H-1111 Hungary Faculty of Engineering Department of Chemical Engineering Mérida Venezuela

ISBN: (纸本)142441282X

This paper discusses the application of the idea of federated filtering to the estimation of intrinsically nonlinear distributed systems by examining its impacts on filtering performance by using the Extended Kalman Filter (EKF) as state estimator. Specifically, the performance of the traditional centralized solution is compared with the filtering structure obtained using the federating idea, and their conceptions, and their ability to balance between fault tolerance and estimation accuracy is examined. Our research demonstrates how successfully the EKF for solving nonlinear estimation problems in federated structures can be used, noting that the idea of federation have only been demonstrated for linear problems previously. In addressing the demands of both fault tolerance and estimation accuracy, it is shown that increased filtering accuracy is relied on the proper choice of sharing of the error covariance information between local filters, while sensor fault tolerance is provided by the utilization of an appropriate resetting policy of the filter. ©2007 IEEE.

关键词： Fault tolerance

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Multi-Objective control-Relevant Demand Modeling for Production and Inventory control

Multi-Objective Control-Relevant Demand Modeling for Product...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Jay D. Schwartz Daniel E. Rivera Control Systems Engineering Laboratory Department of Chemical Engineering Arizona State University Tempe AZ USA

The development of control-oriented decision policies for inventory management in supply chains has received considerable interest in recent years, and demand modeling to supply forecasts for these policies is an important component of an effective solution to this problem. Drawing from the problem of control-relevant identification, we present an approach for demand modeling based on data that relies on a control-relevant prefllter to tailor the emphasis of the fit to the intended purpose of the model, which is to provide forecast signals to tactical inventory management policies based on model predictive control. Integrating the demand modeling and inventory control problems offers the opportunity to obtain reduced-order models that exhibit superior performance, with potentially lower user effort relative to traditional "open-loop" methods. A systematic approach to generating these weights and prefllters is presented and the benefits resulting from their use are demonstrated on representative production/inventory system case studies. A multi-objective formulation is developed that allows the user to emphasize minimizing inventory variance, minimizing starts variance, or their combination.

关键词： Inventory control Demand forecasting Predictive models Supply chains Production systems Inventory management Predictive control Semiconductor device manufacture Economic forecasting Decision making

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Metabolic flux estimation - A self-adaptive evolutionary algorithm with singular value decomposition

Metabolic flux estimation - A self-adaptive evolutionary alg...

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作者： Yang, Jing Wongsa, Sarawan Kadirkamanathan, Visakan Billings, Stephen A. Wright, Phillip C. Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield SI 3JD United Kingdom Department of Chemical and Process Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom

Metabolic flux analysis is important for metabolic system regulation and intracellular pathway identification. A popular approach for intracellular flux estimation involves using 13C tracer experiments to label states that can be measured by nuclear magnetic resonance spectrometry or gas chromatography mass spectrometry. However, the bilinear balance equations derived from 13C tracer experiments and the noisy measurements require a nonlinear optimization approach to obtain the optimal solution. In this paper, the flux quantification problem is formulated as an error-minimization problem with equality and inequality constraints through the 13C balance and stoichiometric equations. The stoichiometric constraints are transformed to a null space by singular value decomposition. Self-adaptive evolutionary algorithms are then introduced for flux quantification. The performance of the evolutionary algorithm is compared with ordinary least squares estimation by the simulation of the central pentose phosphate pathway. The proposed algorithm is also applied to the central metabolism of Corynebacterium glutamicum under lysine-producing conditions. A comparison between the results from the proposed algorithm and data from the literature is given. The complexity of a metabolic system with bidirectional reactions is also investigated by analyzing the fluctuations in the flux estimates when available measurements are varied. © 2007 IEEE.

关键词： Metabolism

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IMPROVED CONTINUATION METHOD controlLER FOR PWM systems: AN EXPERIMENTAL CASE STUDY

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Asian Journal of control 2008年第1期1卷

作者： T. Iwata M. Yamakita K. Furuta Dept. of Mechanical and Environment Informatics Tokyo Institute of Technology. Takaaki Iwata received the BE degrees in Mechanical Engineering in 1990 from Waseda University Japan. From 1990 to 1996 he jointed NOK Co. Ltd. In 1996 he received his ME degrees in Mechanical and Environmental Informatics from Tokyo Institute of Technology. He is currently a PhD student of Tokyo Institute of Technology. He is a member of SICE RSJ JSME and IEEE. Dept. of Control and Systems Engineering Tokyo Institute of Technology. Masaki Yamakita received Be ME and PhD from Tokyo Institute of Technology in 1984 1986 and 1989 respectively. From 1989 he was a Research Associate in the Department of Control Engineering of Tokyo Institute of Technology and from 1993 he was a Lecturer at Tokyohashi University of Technology. He is currently an Associate Professor in the Department of Control and Systems Engineering of Tokyo Institute of Technology. His research interests include robotics learning control robust control and non-linear control. Katsuhisa Furuta was born in Tokyo Japan in 1940. He received his B.S. M.S. and Ph.D. degrees in Chemical Engineering from Tokyo Institute of Technology in 1962 1964 and 1967 respectively. Since 1967 he has been a teaching staff of Tokyo Institute of Technology where he is currently a Professor of Graduate School of Information Science and Engineering. He is a fellow of IEEE and SICE. He is now a member of Science Council of Japan the secretary of the engineering division a council member of IFAC and the President of SICE in 1999.

In this paper, an improved version of online continuation method controller for PWM systems is presented. The online continuation method controller solves the PWM-type deadbeat control problem numerically. By using this algorithm, iterations for solving the set of nonlinear equations always start from a good solution candidate and therefore it can be used online. The original continuation method is modified so that it is applicable to real systems. The validity of the proposed control method is demonstrated by a laboratory-scale flexible arm manipulator.

关键词： PWM continuation method homotopy deadbeat GPC

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Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm

Metabolic Flux Estimation from Incomplete Labelling Measurem...

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IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： S. Wongsa V. Kadirkamanathan S.A. Billings P.C. Wright Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Department of Chemical and Process Engineering University of Sheffield Sheffield UK

In this work, the problem of metabolic flux estimation is formulated as a problem of parameter estimation from incomplete labelling data. The expectation/conditional maximisation (ECM) algorithm is used to determined a maximum-likelihood (ML) estimate because of its simplicity and stable convergence. We propose to simplify a nonlinear inverse problem, generally numerically solved by an iterative optimisation algorithm, to a linear regression problem which is arrived at from a linear-in-the-parameter formulation during a partial optimisation process of the ECM algorithm. Three linear least square algorithms, the ordinary least squares (LS), the total least squares (TLS) and the constrained least squares (CLS), have been tested to solve the linear regression in this step. Using simulations, resulting parameter estimates and errors in flux estimation are compared and evaluated. The performance of the algorithms are investigated under two scenarios; when the labelling data are corrupted by a wide range of noise and when the labelling data are incompletely observed. Results suggest that the estimates from the ECM algorithm using CLS produce results superior to other combinations and have potential to be refined to improve its performance in metabolic flux estimation

关键词： Labeling Iterative algorithms Least squares methods Electrochemical machining Parameter estimation Maximum likelihood estimation Linear regression Convergence Inverse problems Testing

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Peak seeking control using OBF-Wiener model based nonlinear IMC scheme

Peak seeking control using OBF-Wiener model based nonlinear ...

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International Conference on control, Automation and systems ( ICCAS)

作者： Shraddha Deshpande N. Kalpana P. S. Bedi Sachin Patwardhan Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India Department of Chemical Engineering Indian Institute of Technology Madras India Department of Chemical Engineering Indian Institute of Technology Bombay Mumbai India

In this work, a nonlinear output error type model with Weiner structure has been developed for capturing dynamics of multivariable nonlinear systems with fading memory. The linear dynamic part of the Wiener model is parameterized using ortho-normal basis filters (OBF).The identified OBF-Wiener model is further used to derive a closed form multi-step quadratic control law in nonlinear internal model control framework. The efficacy of the proposed closed form control law is demonstrated by conducting simulation studies on peak seeking control of (a) Proton Exchange Membrane Fuel Cell (PEMFC) system and (b) Continuous Fermenter system. As these systems exhibit input multiplicities and change in the sign of the steady state gain(s) in the operating region, the resulting control problems are difficult to handle. In both the cases, the proposed control law achieves a smooth transition form a sub-optimal operating point to the optimum operating point without causing large variation in manipulated inputs.

关键词： Open loop systems control system synthesis chemical technology chemical engineering Nonlinear systems Filters Steady-state Power system modeling Automatic control Nonlinear control systems

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Time-varying port-representation of dissipative structures with gauge transformations 9

Time-varying port-representation of dissipative structures w...

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2007 9th European control Conference, ECC 2007

作者： Nishida, Gou Yamakita, Masaki Luo, Zhi-Wei Institute of Physical and Chemical Research Bio-Mimetic Control Research Center Environment Adaptive Robotic Systems Lab. 2271-130 Anagahora Nagoya AichiN463-0003 Japan Department of Mechanical and Control Engineering Tokyo Institute of Technology 2-12-1 Oookayama Meguro-ku152-8552 Japan Department of Computer and Systems Engineering Kobe University 1-1 Rokkodai Nada-ku Hyogo657-8501 Japan

ISBN: (纸本)9783952417386

A distributed-port-Hamiltonian system is a generalized model for passivity-based controls. The system representation has been extended to an infinite-dimensional conservative system derived from variational calculus, which is called a field-port-Lagrangian system. A lot of practical systems for control engineering include dissipative elements;however such a non-conservative structure usually cannot be defined by a variational problem. This paper shows that a system with the dissipative structure can be defined as a time-varying fieldport-Lagrangian system by a gauge transformation. First, we show that the gauge transformation generates a time-dependent Lagrangian density functional that introduces the time-varying port-representation. Next, we present that a class of dissipative systems can be identified with a conservative system possessing an internal irreversible energy flow. Finally, we illustrate an equation of elastic films with viscosity damping with the time-varying port-representation. © 2007 EUCA.

关键词： Variational techniques

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Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive control

Optimization-based Design of Plant-Friendly Input Signals fo...

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American control Conference (ACC)

作者： Hyunjin Lee Daniel E. Rivera Hans D. Mittelmann Gautam Pendse Control Systems Engineering Laboratory Department of Chemical Engineering Arizona State University Tempe AZ USA Department of Mathematics and Statistics Arizona State University Tempe AZ USA

The design of constrained, "plant-friendly" multisine input signals that optimize a geometric discrepancy criterion arising from Weyl's theorem is examined in this paper. Such signals are meaningful for data-centric estimation and control methods, where uniform coverage of the output state-space contributes greatly to good performance. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in a uniformly distributed output signal that achieves a desirable balance between high and low gain directions, an important consideration when identifying strongly interactive multivariable systems. The solution involves very little user intervention and has significant benefits compared to multisine signals that minimize crest factor. The usefulness of this problem formulation is shown by applying it to a case study involving composition control of a binary distillation column.

关键词： Predictive models Design optimization Signal design Predictive control Signal processing Constraint theory Constraint optimization State estimation MIMO Distillation equipment

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