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Real-Time Level Plant control Using Improved BELBIC

IFAC Proceedings Volumes 2008年第2期41卷 4631-4635页

作者： M. Masoudinejad R. Khorsandi A. Fatehi C. Lucas S. Fakhimi Derakhshan M.R. Jamali Advanced Process Automation & Control (APAC) Research Group Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Center of Excellence for Control and Intelligent Processing Electrical and Computer engineering Department University of Tehran Iran

Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control applications. Previous studies show that this controller has fast response, simple implementation and robustness with respect to disturbances. It is also possible to define emotional signal based on control application objectives. But in the previous studies, internal instability of this controller was not considered and control task were done in limited time period. In this article mathematical description of BELBIC is investigated and improved to avoid internal instability. Simulation and implementation of improved model was done on level plant. The obtained results showed that instability of model has been solved in the new model without loss of performance by using Integral Anti Windup (IAW).

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Using process control to increase the energy efficiency of mineral and metal processing plants

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International Journal of Power and Energy Systems 2008年第2期28卷 146-151页

作者： Desbiens, A. Núñez, E. Del Villar, R. Hodouin, D. Poulin, É. Department of Electrical and Computer Engineering Pavillon Pouliot Québec City QC G1V 0A6 Canada Process Control Group Xstrata Process Support Centre P.O. Box 40 Falconbridge ON P0M 1S0 Canada Department of Mining Metallurgical and Materials Engineering Pavillon Pouliot Québec City QC G1V 0A6 Canada

Because of globalization and international competition, mineral processing plant managers seek at reducing production costs. These plants are major energy consumers and therefore energy efficiency is becoming an important objective. Other incentives are the energy cost that will probably continue to rise and the environmental and social pressures for reducing energy consumption. Using more energy efficient equipment is a first approach. Better plant operation using on-line data processing, as described in this paper, is another way to improve energy efficiency. On-line data processing consists in using the measurements provided by sensors and the knowledge of the plant behaviour to automatically, continuously and adequately manipulate plant actuators. An ideal on-line data processing is made up of three hierarchic layers: process observation, process control and process optimization. The layers, their interaction and their energetic benefits are described. Some case studies illustrate the energy efficiency improvements provided to mineral processing plants by using on-line data processing techniques.

关键词： process control

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Fast Moving Window Algorithm for QR and Cholesky Decompositions

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IFAC Proceedings Volumes 2008年第2期41卷 10106-10111页

作者： Wuxing Liang Uwe Kruger Xun Wang Lei Xie Tim Littler School of Electronics Electrical Engineering and Computer Science Queen's University Belfast BT9 5AH U.K. Department of Electrical Engineering The Petroleum Institute P.O. Box 2533 Abu Dhabi U. A. E. Institute of Advanced Process Control Zhejiang University Hangzhou 310027 P.R. China

This paper proposes a fast moving window algorithm for QR and Cholesky decompositions by simultaneously applying data updating and downdating. The developed procedure is based on inner products and entails a similar downdating to that of the Chambers’ approach. For adding and deleting one row of data from the original matrix, a detailed analysis shows that the proposed algorithm outperforms existing ones in terms or computational efficiency, if the number of columns exceeds 7. For a large number of columns, the proposed algorithm is numerically superior compared to the traditional sequential technique.

关键词： Cholesky factorization QR decomposition adaptive algorithms update and downdate recursive algorithms

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Output-feedback networked control system and its stability

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Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) 2008年第3期42卷 378-381页

作者： Liu, Song-Hui Wu, Jun Xu, Wei-Hua Chen, Sheng State Key Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang University Hangzhou 310027 China Department of Chemical Engineering Hangzhou Vocational Technology College Hangzhou 310018 China School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

A kind of output-feedback networked control system was addressed to overcome the defect of feedback lag introduced by the network usage in the networked control system. By introducing a plant model and a buffer into this system, when feedback was available, this system could compute the control output and update the plant model with the plant output, otherwise, compute the control output based on the plant model output instead of plant output. On the condition that the plant was SISO and the error between plant and model existed, the necessary and sufficient condition for closed-loop stability of this system was derived. Simulation indicates that the range of model error within which this system is stable is easy to be derived by using this necessary and sufficient condition.

关键词： Closed loop control systems

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Robust H-infinity trajectory tracking controller for a 6 D.O.F PUMA 560 robot manipulator

Robust H-infinity trajectory tracking controller for a 6 D.O...

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IEEE International Electric Machines and Drives Conference, IEMDC 2007

作者： Khelfi, M.F. Abdessameud, A. University of Oran Es-Sénia Computer Science Department Sciences Faculty Algeria University of Boumerdes Laboratoire d'Automatique Appliquée Process Control Algeria

ISBN: (纸本)1424407435

This paper deals with the design problem of an H∞ observer for robot manipulators in the presence of external perturbations. The proposed scheme is an application of an H∞ filter to the class of robotic manipulator systems in order to guarantee disturbance attenuation of the observation error and the asymptotic stabilization of the estimation error. Using a stabilizing control law, a stabilization result based on the weak detectability of the system is obtained and the semi-global asymptotic stability of the equilibrium point of the combined system is shown. Simulation results on a six D-O-F PUMA 560 robot manipulator show the asymptotic convergence of the reconstruction and tracking error vectors. © 2007 IEEE.

关键词： Manipulators

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The Mimo Predictive Pid controller Design

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Asian Journal of control 2008年第4期4卷

作者： M.H. Moradi M.R. Katebi M.A. Johnson Department of Electronic and Electrical Engineering University of Strath-clyde Glasgow GI 1QE UK. Dr. Moradi is a Lecturer in the Department of Electronic and Electrical Engineering University of Bu-Ali Sina in Iran. He obtained the BSc and MSc in 1991 and 1993 from the Sharif University of Technology and Tarbiat Modarres University respectively. Dr. Moradi joined the Bu-Ali Sina University in 1993. In 2002 he obtained his PhD degree from the University of Strath-clyde Glasgow Scotland. His theoretical research interests include predictive PID control advanced classical control generalised predictive control system identification and fault monitoring robust control design computer networks and more recently control through networks. His industrial interests are in the areas of large-scale systems especially power systems and power plant modelling and control supervisory control and process control. Dr. Moradi has published a number of Journal and Conference papers. Dr. Katebi is a senior lecturer in the Department of Electronic and Electrical Engineering University of Strathclyde. His theoretical research interests are currently focused on Non-linear Control and Filtering for Complex Systems Autonomous Control Design System integration and Fault monitoring and Reconfiguration Plant Monitoring through the Internet Discrete Event Simulation Process Optimisation and Robust Control Design. The industrial research interests are in the area of Hot and Rolling for Steel and Aluminium Power Plant Modelling and Control Marine Control Systems Process Control and Wastewater Treatment Control. Dr Katebi is the author/co-author of four books and more than 150 papers and industrial reports. Professor Johnson's academic education began at Coventry University (1969) and continued under the supervision of Professor Greyham Bryant in the field of Control Systems at Imperial College London. He obtained the DIC MSc and PhD from Imperial College leaving for industry in 1978. Subsequent experience was in the

This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control structure is defined which incorporates the prediction of future outputs and uses future set point. A method is proposed to calculate the optimal values of the PID gains from generalised predictive control results. A decentralized version of the predictive PID controllers is presented and the stability of the closed loop system is studied. Simulation studies demonstrate the superior performance of the proposed controller compared with a conventional PID controller. The results are also compared with generalised predictive control solutions.

关键词： PID control design predictive PID MIMO controller optimisation

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Robust H-infinity Trajectory Tracking controller for a 6 D.O.F PUMA 560 Robot Manipulator

Robust H-infinity Trajectory Tracking Controller for a 6 D.O...

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IEEE International Conference on Electric Machines and Drives (IEMDC)

作者： M. F. Khelfi A. Abdessameud Computer Science Department Sciences Faculty University of Oran Es-Sénia Algeria Laboratoire d'Automatique Appliquee Process Control University of Boumerdès Algeria

This paper deals with the design problem of an Hinfin observer for robot manipulators in the presence of external perturbations. The proposed scheme is an application of an H infin filter to the class of robotic manipulator systems in order to guarantee disturbance attenuation of the observation error and the asymptotic stabilization of the estimation error. Using a stabilizing control law, a stabilization result based on the weak detectability of the system is obtained and the semi-global asymptotic stability of the equilibrium point of the combined system is shown. Simulation results on a six D-O-F PUMA 560 robot manipulator show the asymptotic convergence of the reconstruction and tracking error vectors.

关键词： Robust control H infinity control Trajectory Robots Manipulators Filters Attenuation Estimation error control systems Asymptotic stability

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Special Issue on Variable Structure System control — New Designs and applications

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Asian Journal of control 2008年第4期5卷

作者： Prof. Jian-Xin Xu Prof. Leonid Fridman Department of Electrical and Computer Eng. National University of Singapore 4 Engineering Drive 3 Singapore 117576 Tel +65 6874-2566 Fax +65 6779-1103 Dr Jian-Xin Xu received his Bachelor degree from Zhejiang University China in 1982. He attended the University of Tokyo Japan where he received his Master's and Ph.D. degrees in 1986 and 1989 respectively. All his degrees are in Electrical Engineering. He worked for one year in the Hitachi research Laboratory Japan and for more than one year in Ohio State University U.S.A. as a Visiting Scholar. In 1991 he joined the National University of Singapore and is currently an associate professor in the Department of Electrical Engineering. His research interests lie in the fields of learning control variable structure control fuzzy logic control discontinuous signal processing and applications to motion control and process control problems. He is the associate editor of Asian Journal of Control member of TC on variable structure systems and sliding mode control of IEEE Control Systems Society and a senior member of IEEE. He has produced more than 90 peer-refereed journal papers near 160 technical papers in conference proceedings and authored/edited 4 books. Division de Estudios de Posgrado Facultad de Ingenieria National Autonomous University of Mexico DEP-FI UNAM Edificio “A” Circuito Exterior Ciudad Universitaria A. P. 70–256 C.P.04510 Mexico D.F. Mexico Tel +52 55 56223014 Fax +52 55 56161719 Dr. Leonid M. Fridman received his M.S in mathematics from Kuibyshev (Samara) State University Russia Ph.D. in Applied Mathematics from Institute of Control Science (Moscow) and Dr. of Science degrees in Control Science from Moscow State University of Mathematics and Electronics in 1976 1988 and 1998 respectively. In 1976–1999 Dr. Fridman was with the Department of Mathematics at the Samara State Architecture and Civil Engineering Academy Samara Russia. In 2000–2002 he was with the Department of Postgraduate Study and Investigations at the Chihuahu

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A NEURO-FUZZY SYSTEM DESIGN METHODOLOGY FOR VIBRATION control

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Asian Journal of control 2008年第4期7卷

作者： S. M. Yang Y. J. Tung Y. C. Liu Shih-Ming Yang:has been with the Institute of Aeronautics and Astronautics National Cheng Kung University Taiwan since 1989. He received Ph.D. degree from University of California at Berkeley U.S.A. His current interests are smart structure systems system identification and intelligent controller design in digital signal processor and digital watermarking. Yu-Ju Tung:received B.S. and M.S. in Aeronautics and Astronautics from the National Cheng Kung University Taiwan in 1999 and 2001. Her research interests have been in Digital Signal Processing of computer peripherals. She is currently a Firmware Engineer on wireless applications in Syntech Information Co. in Taiwan. Department of Information Management Tainan Woman's College of Arts and Technology Taiwan R.O.C. Yu-Chuan Liu:is an Assistant Professor in the Department of Information Management at Tainan Women's University. Dr. Liu received his Ph.D. in Aeronautics and Astronautics from the National Cheng Kung University of Taiwan in 1993 and served as the R&D manager and vice-president in mechanical and optoelectronics industries. Dr. Liu joined the faulty in 2002 and his research interests are in process control and management information system computer-integrated manufacturing (CIM) and e-Business. Dr. Liu has published more than 25 technical articles in this area.

Fuzzy system has been known to provide a framework for handling uncertainties and imprecision by taking linguistic information from human experts. However, difficulties arise in determining effectively the fuzzy system configuration, i.e. , the number of rules, input and output membership functions. A neuro-fuzzy system design methodology by combining neural network and fuzzy logic is developed in this paper to adaptively adjust the fuzzy membership functions and dynamically optimize the linguistic-fuzzy rules. The structure of a five-layer feedforward network is shown to determine systematically the correct fuzzy logic rules, tune optimally (in the sense of local region) the parameters of the membership functions, and perform accurately the fuzzy inference. It is shown both numerically and experimentally that engineering applications of the neuro-fuzzy system to vibration control have been very successful.

关键词： Neural network fuzzy logic vibration control.

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Influence of scaling and unfolding in PCA based monitoring of nutrient removing batch process

Influence of scaling and unfolding in PCA based monitoring o...

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作者： Ruiz, Magda Villez, Kris Sin, Gurkan Colomer, Joan Vanrrolleghem, Peter Control Engineering and Intelligent Systems Group -eXiT Department of Electronics Computer Science and Automatic Control University of Girona CP 17071 Girona Spain Department of Applied Mathematics Biometrics and Process Control Ghent University Coupure Links 653 B-9000 Ghent Belgium

ISBN: (纸本)9783902661142

The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfolding and scaling of data have been applied to a pilot-scale SBR data. PCA is used to reduce the dimensionality and to remove the non-linearity dynamic of the data. Moreover, a new method to select the number of principal components is proposed. Loadings graphics are used to determinate the predominant variables for each one. The results show that whatever model can be applied depending on the goal of the monitoring, however the models implicate possible false alarms or faults omission. Copyright © 2006 IFAC.

关键词： process monitoring

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