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A Method of Robust Fault Detection for Dynamic Systems by Using Quasi-ARMAX Modeling

IFAC Proceedings Volumes 1997年第11期30卷 1157-1162页

作者： K. Kumamaru J. Hu K. Inoue T. Söderström Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka 820 Fukuoka Japan Department of Automatic Control and Systems Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper presents a model-based approach to fault detection of dynamic systems, which is robust to unmodeled dynamics. A “Quasi-ARMAX model᾿ is first proposed for describing nonlinear systems by incorporating a group of certain nonlinear structures into a linear ARMAX structure. The model can be used for a best linear approximation of the system, as well as for the estimation of resulting unmodeled dynamics, by a hierarchical implementation of recursive identification. Then robust fault detection is performed based on thresholding approach using Kullback discrimination information as fault detection index, in which the estimated unmodeled dynamics is incorporated.

关键词： Dynamic systems fault detection Kullback discrimination information modeling errors nonlinear systems robust performance

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Analysis of signal/event nets

Analysis of signal/event nets

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： P.H. Starke H.-M. Hanisch Institute of Computer Science Humboldt University of Berlin Berlin Germany Department of Electrical Engineering Institute for Automatic Control University of Magdeburg Magdeburg Germany

Net condition/event systems (NCES) have been defined to provide a modular modelling framework for discrete event systems. NCES are based on the interconnection of modules whose dynamic behavior is modeled by means of Petri nets. The interconnection is performed by signals only. The resulting system is no longer an ordinary, classical Petri net. Hence, if we want to analyse those systems by means of methods for Petri nets, we have to generalize the formalisms of Petri nets. We call those extended nets signal/event nets. In this paper, signal/events nets are defined and their position in the hierarchy of computational models is shown. Although the main problems are undecidable, analysis of signal/event nets is not impossible.

关键词： Signal analysis Petri nets Discrete event systems Signal generators computer science automatic control Computational modeling Fires control system synthesis Signal synthesis

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Fault Detection of Nonlinear Systems by Using Hybrid Quasi-ARMAX Models

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IFAC Proceedings Volumes 1997年第18期30卷 1125-1130页

作者： K. Kumamaru J. Hu K. Inoue T. Söderström Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka 820 Fukuoka Japan. Department of Automatic Control and Systems Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This research is concerned with fault detection of nonlinear systems using Kullback discrimination information (KDI) as an index. A hybrid quasi-ARMAX model is proposed, which combines a linear ARMAX model and a multi-ARX-model based on interpolation. In the case where the faults occur on the ARMAX model part, a KDI-based "robust" fault detection is performed, in which multi-ARX-model part is treated as error due to nonlinear undermodeling. In other cases, the model is transformed into several local ARMAX models and fault detection is performed by using the KDI to discriminate each identified local model. In this paper, we mainly concentrate our discussion on the latter cases.

关键词： Nonlinear systems dynamic systems fault detection Kullback discrimination information quasi-ARMAX modeling local model

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Hierarchical fuzzy controller and its industrial application

Hierarchical fuzzy controller and its industrial application

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IEEE International Conference on Intelligent Processing Systems, ICIPS

作者： Shu-Meng Pei Li Shen Le-Nian Ye Institute of Computer Technology Chinese Academy and Sciences Beijing China Department of Automatic Control Engineering South China University of Technology Guangzhou China

ISBN: (纸本)0780342534

To reduce the difficulties involved in choosing an appropriate fuzzy knowledge base, i.e. scaling factors, membership functions, rules, etc., of a fuzzy PI controller that is capable of control in most industrial environments, a kind of fuzzy controller with a hierarchical structure is proposed which takes accumulated control as an input in addition to the error and change of error. The new fuzzy controller is divided into several subcontrollers which can be designed separately. Each subcontroller can be designed easily and can perform well in a certain running state. When all the subcontrollers perform well, the hierarchical fuzzy controller can obtain a good performance. A general strategy for dividing up the whole controller is defined. Simulation results show that both the transitory performance and the steady-state performance are better than that of conventional fuzzy PI controllers. The proposed hierarchical fuzzy controller is applied to a 10 tonne/hour coal-burning grate boiler and some real-time running results are given.

关键词： Fuzzy control Industrial control Error correction Fuzzy logic Velocity control automatic control PD control Performance gain Knowledge engineering Appropriate technology

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On information processing capacity of anti-aircraft tactic command and control systems

On information processing capacity of anti-aircraft tactic c...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Jiacun Wang M. Zhou Department of Automatic Control Nanjing University of Science and Technology of PLA Nanjing China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

A powerful method for the modeling of the task processing of anti-aircraft tactic command and control systems (AATCCS) via stochastic Petri net (SPN) tool is proposed and discussed. The principle of the analysis of task processing capacity for a discrete event system based on SPN model is established. The task processing model of a generic typical anti-aircraft tactic C2 systems with two-level command centers is built, and the procedure to the analysis of the maximum information processing capacity of the systems is developed. The method and results show their promise in their applications to real C2 system design.

关键词： Information processing Command and control systems Radar Power system modeling Information analysis Stochastic systems Petri nets Flowcharts Decision making Discrete event systems

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Delay-independent stability of linear neutral systems: A Riccati equation approach 4

Delay-independent stability of linear neutral systems: A Ric...

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4th European control Conference, ECC 1997

作者： Verriest, Erik I. Niculescu, Silviu-Iulian School of Electrical and Computer Eng. Georgia Institute of Technology AtlantaGA30332-0250 United States Applied Math. Laboratory ENSTA 32 boulevard Victor Paris Cedex 1515139 France Laboratoire d'Automatique de Grenoble France Department of Automatic Control University Politehnica Bucharest Romania

ISBN: (纸本)9783952426906

This note focuses on the problem of asymptotic stability of a class of linear neutral systems described by differential equations with delayed state. The delay is assumed unknown, but constant. Sufficient conditions for delayindependent asymptotic stability are given in terms of the existence of symmetric and positive definite solutions of a continuous Riccati algebraic matrix equation coupled with a discrete Lyapunov equation. The approach adopted here is based on a Lyapunov-Krasovskii functional technique.

关键词： Asymptotic stability

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Multimode fuzzy-CMAC intelligent controller

Multimode fuzzy-CMAC intelligent controller

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American control Conference (ACC)

作者： Guo Chen D.P. Kwok Sun Zengqi Yu Jingzhe Department of Automatic Control Dalian Maritime University Dalian China Department of Electronic Engineering Hong Kong Polytechnic University Hung Hom China Department of Computer Science and Engineering Tsinghua University Beijing China

Proposes a combined controller structure and algorithm which integrates a cerebellar model articulation controller (CMAC) with fuzzy logic and bang-bang control under an intelligent supervisor. This neuro-fuzzy controller has self-learning ability in real-time and can readily be applied to industrial process plants. The numerical results of simulation studies, which demonstrate the benefit and feasibility of the proposed algorithm, are presented.

关键词： control systems automatic control Fuzzy logic Force control Intelligent structures Neural networks Optimal control Bang-bang control Process control Steady-state

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On the numerical speed control of electrical drive systems using stepping motors

On the numerical speed control of electrical drive systems u...

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IEEE International Conference on Intelligent Engineering Systems (INES)

作者： G. Baluta S. Resmerita Faculty of Electrical Engineering Department of Electric Drivcs and Power Electronics E2809CGh. Asachi E2809DTechnical University of Iasi Lasi Romania Faculty of Automatic Control and Computer Engineering Department of Automatic Control and Industrial Informatics E2809CGh. Asachi E2809DTechnical University of Iasi Lasi Romania

The paper focuses on the speed control of stepping motors in a closed-loop configuration. An incremental optical encoder is used as the position transducer, allowing the achievement of a minor loop. The numerical control algorithm is implemented using an IBM PC together with a specialized interface for stepper motors. The solution was obtained in two steps: the first was a nonlinear control law and the second was the improvement of the first one by using a PI part.

关键词： Velocity control Samarium automatic control Pulse circuits Optical feedback Nonlinear optics Transducers computer numerical control Digital control Pulse generation

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Tuning of Digital PID controllers Based on Ziegler - Nichols Method

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IFAC Proceedings Volumes 1997年第21期30卷 145-150页

作者： Vladimír Bobál Jinří Macháček Roman Prokop Technical University of Brno Faculty of Technology in Zlín Department of Automatic Control Nám. T. G. Masaryka 275 762 72 Zlín Czech Republic University of Pardubice Faculty of Chemical Technology Department of Process Control and Computer Techniques Nám. Čs. legií 565 532 10 Pardubice Czech Republic

A unified algorithm for auto-tuning of digital РID controllers for n-order process model have been derived in this paper. Tuning procerdure uses the identification of ARX process model parameters using recursive least squares method (RLSM) with adaptive directional forgetting. The parameter estimates serve for computing of the ultimate (critical) proportional gain and period of oscillations on the basis of modified Ziegler-Nichols method for digital control loops. The relations for setting procedures in case of the 2nd and the 3rd order model are derived in the form of analytical formulas. In case of the higher order ARX models the MATLAB Symbolic Math Toolbox was used. These algorithms are suitable for automatic tuning of digital PID controllers or of the adaptive control of technological processes. The digital PID controller with weghting factor and noise filtering constant in the derivative component has been applied for temperature control of a laboratory fermentor. There has been developed the MATLABToolbox ATC PID for designing, testing, simulating and real time of auto-tuning digital PID controllers.

关键词： PID controllers digital control stability limits recursive least squares selftuning control computer aided design

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Pracfical Tuning of Industrial PID controllers

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IFAC Proceedings Volumes 1997年第6期30卷 591-596页

作者： Vladimír Bobál Jiří Macháček Roman Prokop Technical University of Brno Faculty of Technology in Zlín Department of Automatic Control Nám. T. G. Masaryka 275 762 72 Zlín Czech Republic University of Pardubice Faculty of Chemical Technology Department of Process Control and Computer Techniques Nám. Čs. legií 565 532 10 Pardubice Czech Republic

The paper deals with algorithms for auto-tuning of digital PID controllers. Tuning is based on the identification of process model parameters using recursive least squares method (RLSM) with directional forgetting. The parameters of the PID controllers are designed on the basis of modified Ziegler-Nichols method for digital control loops. The ultimate (critical) gain and period of oscillations are calculated from parameter estimates of the regression model. The relations for setting procedures in case of the 2nd and 3rd order model are relatively simple and are given in the form of analytical formulas or flow diagrams. In case of the higher order regression models the MATLAB Symbolic Math Toolbox was used. These algorithms are suitable for automatic tuning of digital PID controllers or of the adaptive control of technological processes. There has been developed the MATLAB-Toolbox ATC PID for designing, testing and simulating of auto-tuning digital PID controllers.

关键词： PID controllers stability limits recursive least squares self-tuning control computer aided design industrial control

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