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作者： Kowal, Marek Korbicz, Józef University of Zielona Góra Institute of Control and Computation Engineering ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9783902661142

The paper tackle a problem of robust fault detection using Takagi-Sugeno fuzzy models. The model-based strategy is employed to generate the residuals in order to make decision about the state of the process. Unfortunately, this method is corrupted by the model uncertainty due to the fact that in real applications model-reality mismatch usually exist. In order to ensure the reliable fault detection the adaptive threshold technique is used to deal with the mentioned problem. The paper focuses also on fuzzy model structure design. The bounded error approach is applied to generate the rules for the model using available measurements. Proposed approach is applied to fault detection in the DC laboratory engine. Copyright © 2006 IFAC.

关键词： Fault detection

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A neural network-based robust unknown input observer design: Application to wind turbine

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IFAC-PapersOnLine 2015年第21期48卷 263-270页

作者： Witczak, Piotr Patan, Krzysztof Witczak, Marcin Puig, Vincenc Korbicz, Jozef Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65–246 Zielona Góra Poland Pau Gargallo 5 Barcelona08028 Spain

The paper deals with the problem of robust unknown input observer design for the neural-network based models of non-linear discrete-time systems. Authors review the recent development in the area of robust observers for non-linear discrete-time systems and proposes less restrictive procedure for design the H∞ observer. The approach guaranties simultaneously the predefined disturbance attenuation level (with respect to state estimation error) and convergence of the observer. The main advantage of the design procedure is its simplicity. The paper presents an unknown input observer design that reduced to a set of linear matrix inequalities. The final part of the paper presents an illustrative example concerning wind turbine. © 2015

关键词： Neural networks

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A predictive fuzzy fault-tolerant control scheme for tunnel furnace

A predictive fuzzy fault-tolerant control scheme for tunnel ...

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8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012

作者： Dziekan, Lukasz Witczak, Marcin Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9783902823090

In this paper, a predictive fault-tolerant control strategy is presented. After a short introduction to the Takagi-Sugeno fuzzy systems, a summary of the control strategy that integrates control and fault identification taking into account a possible actuator saturation is presented. Finally, the last part of the paper exhibits experimental results regarding the tunnel furnace that confirm the effectiveness of the proposed approach. © 2012 IFAC.

关键词： Model predictive control

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Robust fault diagnosis in catalytic cracking converter using artificial neural networks

Robust fault diagnosis in catalytic cracking converter using...

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作者： Patan, Krzysztof Institute of Control and Computation Engineering University of Zielona Góra Ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)008045108X

The paper presents designing of a robust fault diagnosis system for a catalytic cracking process using artificial neural networks. Identification of the considered process is carried out by using recurrent neural networks. To achieve a robust fault diagnosis system, an uncertainty associated with the model is also taken into account. Neural version of the Model Error Modelling is used to deal with two main uncertainty sources: unmodelled dynamics and noise corrupting the data. The proposed approach is tested on the example of catalytic cracking converter at the nominal operations condition as well as in the case of faults. Copyright © 2005 IFAC.

关键词： Fault detection

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Configuration of sensor network with uncertain location of nodes for parameter estimation in distributed parameter systems

Configuration of sensor network with uncertain location of n...

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作者： Patan, MacIej Uciński, Dariusz Institute of Control and Computation Engineering University of Zielona Góra Ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9783902661555

A sensor location problem for monitoring network with stationary nodes used for estimating unknown parameters of distributed-parameter system is addressed. In particular, the situation is considered, when the actual spatial positions of sensor nodes at the experimentation stage may be uncertain to some extent and randomly uctuate around some locations specified at the configuration stage. In the presented approach, some results from experimental design theory for dynamic systems with random regressors are extended for the purpose of configuring a sensor network. Then, a simple algorithm based on the notion of approximate near minimum from statistical learning theory is adapted to select the most informative sensor locations. The delineated approach is illustrated by numerical example on a sensor network design for a twodimensional convective difiusion process.

关键词： Parameter estimation

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A new 2D systems approach applied to Iterative Learning control of spatia-temporal dynamics

A new 2D systems approach applied to Iterative Learning Cont...

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2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010

作者： Cichy, Blazej Galkowski, Krzysztof Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9781424471010

Iterative Learning control (ILC) is now well established for linear and nonlinear dynamics in terms of both the underlying theory and experimental application. This approach is specifically targeted at applications where the same operation is repeated over a finite duration with resetting between successive executions. Each execution is known as a trial and the novel principle behind ILC is to suitably use information from previous trials in the selection of the current trial input with the objective of sequentially improving performance from trial-to-trial. In this paper, new computationally very efficient results on the extension of the ILC approach to the class of 2D systems that arise from certain methods of discretization of partial differential equations resulting in the need to use a spatio-temporal setting for analysis. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is also given and areas for further research discussed. © 2010 IEEE.

关键词： Linear matrix inequalities

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Modreg: A Modular Framework for RGB-D Image Acquisition and 3D Object Model Registration

Modreg: A Modular Framework for RGB-D Image Acquisition and ...

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作者： Kornuta, Tomasz Stefańczyk, MacIej IBM Research Almaden 650 Harry Rd San JoseCA United States Warsaw University of Technology Institute of Control and Computation Engineering Poland

RGB-D sensors became a standard in robotic applications requiring object recognition, such as object grasping and manipulation. A typical object recognition system relies on matching of features extracted from RGB-D images retrieved from the robot sensors with the features of the object models. In this paper we present ModReg: A system for registration of 3D models of objects. The system consists of a modular software associated with a multi-camera setup supplemented with an additional pattern projector, used for the registration of high-resolution RGB-D images. The objects are placed on a fiducial board with two dot patterns enabling extraction of masks of the placed objects and estimation of their initial poses. The acquired dense point clouds constituting subsequent object views undergo pairwise registration and at the end are optimized with a graph-based technique derived from SLAM. The combination of all those elements resulted in a system able to generate consistent 3D models of objects. © 2017 Tomasz Kornuta et al.

关键词： Object recognition

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Optimal activation strategy of discrete scanning sensors for fault detection in distributed-parameter systems

Optimal activation strategy of discrete scanning sensors for...

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作者： Patan, Maciej Uciński, Dariusz Institute of Control and Computation Engineering University of Zielona Góra Ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)008045108X

The problem under consideration is to determine an activation policy of discrete scanning sensors in such a way as to maximize the power of a simple parametric hypothesis test, which verifies the nominal state of the considered distributed system specified over a given multi-dimensional spatial domain. The optimal locations of sensors are determined based on the Ds- optimality criterion defined on the respective Fisher Information Matrix. The proposed approach exploits the notion of directly constrained design measures recently introduced in modern optimum experimental design theory, which leads to an extremely fast iterative procedure of exchange type. in this work, a general scheme of such an approach leading to maximization of the fault detection efficiency in distributed-parameter systems is delineated and tested via computer simulations regarding an advection-diffusion problem. Copyright © 2005 IFAC.

关键词： Chemical activation

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Predictive fault tolerant control for LPV systems using model reference 9

Predictive fault tolerant control for LPV systems using mode...

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9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015

作者： Acevedo-Valle, Juan M. Puig, Vicenç Tornil-Sin, Sebastian Witczak, Marcin Rotondo, Damiano Institut de Robòtica i Informàtica Industrial UPC-CSIC Spain Institute of Control and Computation Engineering University of Zielona Gora Poland

The present work proposes a Fault Tolerant control (FTC) methodology for nonlinear discrete-time systems that can be modeled as Linear Parameter Varying (LPV) systems. The proposed approach relies on the modeling of faults as additional scheduling parameters of the LPV model for the controlled system and it uses a triple loop architecture. The inner control loop is designed by means of the standard H2/H∞ control methodologies based on Linear Matrix Inequalities (LMIs). The design takes into account a prespecified set of faults and the ranges of their magnitudes that are wanted to be tolerated and it assumes the availability of on-line fault estimations provided by a Fault Detection and Isolation (FDI) module. The resulting controller tries to compensate the system faults in order to maintain a satisfactory closed-loop dynamic performance, but it does not take into account possible system input and state constraints associated to actuator saturation and other physical limitations. Thus, an intermediate control loop determines the actual compensation feasibility using set invariance theory. And, when it is needed, it applies suitable additive predictive control actions that enlarge the invariant set, trying to assure that the current state remains inside the enlarged invariant set. Finally, an outer loop implements a model reference control that allows reference tracking. The use of the proposed FTC methodology is illustrated through its application to the well-known quadruple tank system benchmark. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Linear matrix inequalities

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A stochastic robustness approach to designing unknown input observers for non-linear systems

A stochastic robustness approach to designing unknown input ...

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作者： Witczak, Marc Prȩtki, Przemyslaw Korbicz, Józef Institute of Control and Computation Engineering University of Zielona Góra Ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9783902661289

The paper deals with the problem of designing an unknown input observer for discrete-time non-linear systems. General convergence conditions and a solution for increasing the observer convergence rate are proposed and implemented with the use of stochastic robustness techniques. The paper contains an illustrative example concerning state estimation and fault detection of an in-duction motor, which shows the high performance of the proposed observer. Copyright © 2007 IFAC.

关键词： Nonlinear systems

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