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Using multiple orientational filters of steerable pyramid for image registration

Information Fusion 2002年第3期3卷 203-214页

作者： Liu, Zheng Khing Ho, Yeong Tsukada, Kazuhiko Hanasaki, Koichi Dai, Yaping Li, Lingqi Control and Instrumentation Division School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Nanyang Avenue Singapore Department of Earth Resources Engineering Graduate School of Engineering Kyoto University 6068501 Kyoto Japan Department of Automation Beijing Institute of Technology Beijing 100081 China Institute for Aerospace Research National Research Council of Canada Building M-14 Ottawa Ont. K1K 2K5 Montreal Road 1191 Canada

Images acquired by different methodologies are fused to achieve more accurate information and a comprehensive understanding about the objects. With an increasing number of sensors involved, the signal acquisition and analysis system will benefit from the technique named sensor fusion or data fusion. Many successful applications have been found in the areas of computer vision, remote sensing, medical diagnosis, non-destructive testing, etc. Before the image fusion operation, a preprocessing, i.e. registration, needs to be performed, which ensures that all pixels are associated with corresponding physical points of the object. In this paper, we present an automatic two-dimensional image registration method by using a so-called steerable pyramid transform. Based on the steerability of the transform, image features along certain orientations can be obtained. Thereafter, an edge detector, such as Sobel, can further extract oriented edge features of the image. A coarse-to-fine procedure is adopted to utilize these features to achieve the registration result. The effectiveness of the proposed method is illustrated by the experimental results. © 2002 Elsevier Science B.V. All rights reserved.

关键词： Feature extraction Image fusion Image registration Steerable pyramid

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FUZZY IDENTIFICATION OF BIOprocessES APPLYING TSK-TYPE MODELS WITH CONSEQUENT PARAMETER ESTIMATION THROUGH ORTHOGONAL ESTIMATOR

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IFAC Proceedings Volumes 2002年第1期35卷 283-288页

作者： Rosimeire Aparecida Jerônimo Claudio Garcia Oscar A.Z. Sotomayor Department of Telecommunications and Control Engineering Laboratory of Automation and Control (LAC) Department of Chemical Engineering Laboratory of Simulation and Process Control (LSCP) Polytechnic School of the University of São Paulo Av. Prof. Luciano Gualberto Trav. 3 n. 158 Cidade Universitária CEP 05508-900 São Paulo - SP Brazil

This paper presents fuzzy identification of two bioprocesses employing TSK-type models. A “Modified Gram-Schmidt” (MGS) orthogonal estimator is used to estimate the consequent parameters. This approach is then applied to identify two distinct cases involving dissolved oxygen concentration: one related to a bioreactor and the other one related to an activated sludge process. The obtained models are then cross-validated.

关键词： System identification Bioprocesses Nonlinear models Fuzzy modeling TSK-type models Modified Gram-Schmidt algorithm Parameter estimation

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Development and implementation of a hybrid intelligent controller for interior permanent magnet synchronous motor drive

Development and implementation of a hybrid intelligent contr...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： M.N. Uddin M.A. Abido M.A. Rahman Modeling Automation and Control Engineering Laboratoryoratory Modeling Automation and Control Engineering Laboratory Lakehead University Thunder Bay ONT Canada Electrical Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Faculty of Engineering. & Appl. Science Memorial University of Newfoundland NEW Canada

A hybrid neuro-fuzzy scheme for the online tuning of a genetic based proportional-integral (PI) controller for interior permanent magnet synchronous motor (IPMSM) drives is presented in this paper. The proposed controller is developed for accurate speed control of the IPMSM drive under various system disturbances. In this work, initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition, a genetic algorithm (GA) is used to optimize the PI controller parameters in a closed loop vector control scheme. In the optimization procedure, a performance index is developed to reflect the minimum speed deviation, minimum settling time and zero steady-state error. A fuzzy basis function network (FBFN) is utilized for online tuning of the PI controller parameters to ensure optimum drive performance under different disturbances. The proposed FBFN based PI controller provides a natural framework for combining numerical and linguistic information in a uniform fashion. The proposed controller is successfully implemented in realtime using a digital signal processor board DS 1102 for a laboratory 1 hp IPMSM. The efficacy of the proposed controller is verified by simulation as well as experimental results at different dynamic operating conditions. The proposed controller is found to be robust for applications In IPMSM drive.

关键词： Permanent magnet motors Drives Pi control Proportional control control systems Velocity control Synchronous motors Uncertainty Genetic algorithms Machine vector control

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On complex non-linear systems with symmetries: controllability preserving decomposition

On complex non-linear systems with symmetries: controllabili...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： G.M. Dimirovski Y.-W. Jing J. Zhao T.D. Kolemisevska-Gugulovska Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Faculty of Engineering Dogus University Istanbul Turkey Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia

In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations of these systems are derived. Finally, it is shown that controllability of the original systems can be determined by that of the subsystems, which are obtained through isomorphic decomposition. The corresponding sufficient and necessary conditions are given. Two new theoretical results have been proved.

关键词： controllability Nonlinear control systems control systems Nonlinear systems Automatic control Information science automation Systems engineering and theory Feedback Mathematical model

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Colored Petri net control of OR-logic

Colored Petri net control of OR-logic

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IEEE International Symposium on Intelligent control (ISIC)

作者： Weimin Wu Hongye Su Jian Chu W.M. Wonham National Laboratory of Industrial Control Technology & Institute of Advanced Process Control University of Zhejiang Hangzhou China Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada

Usually, the maximally permissive control of Petri nets with an OR-logic constraint is difficult to implement. In this paper, OR-logic is easily enforced using a colored Petri net. A colored Petri net place, named colored monitor place, is designed to monitor the states of constraints. A so-called guard function of colored Petri nets that maps certain transitions into a Boolean expression is suitably defined on the colored sets. The maximally permissive control is then obtained via the guard function. In addition, a constraint transformation method for marked graphs with uncontrollable transitions is proposed.

关键词： Petri nets Vectors control systems Laboratories Industrial control process control Computerized monitoring Logic Glass Force control

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Novel fuzzy predictive PID control for a class of nonlinear systems

Novel fuzzy predictive PID control for a class of nonlinear ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Lin-Huan Li Hong-Ye Su Jian Chu Xin-Pin Guan National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China Department of Electrical Engineering Yanshan University슠 Hebei China

Most plants are nonlinear in practice, the proper T-S fuzzy model is obtained by a recursive fuzzy identification method to describe the real complex nonlinear systems. First, a fuzzy-clustering algorithm is used to competitively learn the centers of the input-areas online. Second, the radii of input areas are determined based on the superposed degree of the predetermined rules, while the parameters in the inference can be achieved by the RLS algorithm, then the fuzzy local linear model can be used as the CARIMA model at every instant to predict the output of the plant. Finally, a tuning algorithm for PID controller parameters is presented based on the idea of generalized predictive control (GPC) and the relation between the GPC and PID controller. The optimal index includes the weighting term of the square of error between the predicted process steady-state value and the desired-state value. The stability of the system has also been studied. The simulation results both in theory and a paper pulp process show the effectiveness of the proposed method.

关键词： Fuzzy control Fuzzy systems Three-term control Nonlinear control systems control systems Nonlinear systems Inference algorithms Predictive models Resonance light scattering Predictive control

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Overshoot controlled servo system synthesis using bode plot and its application to PM brushless DC motor drive

Overshoot controlled servo system synthesis using bode plot ...

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International Workshop on Advanced Motion control (AMC)

作者： P. Crnosija Z. Ban R. Krishnan Faculty of Electrical Engineering and Computing Department of Control and Comp. Eng. in Automation University of Zagreb Zagreb Croatia The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

The design of current and speed controllers remains to a large extent a mystery to many engineers in the motor drives field. An attempt is made in this paper to simplify the design of the current and speed controllers using Bode plots. This paper outlines the theoretical background behind the techniques of symmetric optimum and dominant time constant compensation methods. The techniques are compared and contrasted using the overshoot and phase margin criteria. An application of these techniques to controller design for permanent magnet brushless DC motor (PMBDCM) drive system is made and verified with simulation. In order to apply these techniques to PMBDCM drive for the design of the current and speed controllers, the model of the motor drive is given for the benefit of the reader. The current and speed controller synthesis of a PMBDCM drive is achieved with the presented technique. Simulation results demonstrate for reference (current or speed) changes, symmetric optimum and dominant time compensation methods perform similarly. But for a load torque disturbance, the adverse effect on the speed is compensated faster only with the symmetric optimum method.

关键词： control system synthesis Servomechanisms Automatic control Brushless DC motors Frequency domain analysis Motor drives control systems DC motors Network synthesis Electric variables control

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Real-time application of simulation tools and implementation of control techniques for induction machines in Matlab/Simulink/spl reg/ environment

Real-time application of simulation tools and implementation...

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Annual Conference of Industrial Electronics Society

作者： P.A. Spiller J.F. Haffner L.F.A. Pereira Automation and Control Laboratory Electrical Engineering Department Pontifcia Universidade Católica do Rio Grande do Sul Porto Alegre Brazil

The main contribution of this work is the development of a Matlab/Simulink-based software environment that allows the integrated simulation, validation and fast prototyping of real-time control algorithms for induction machines. The transition from the simulation phase to the real-time prototyping is straightforward. A single modification by the user is required to perform the substitution of simulation tools by real-time tools. The algorithm developed is kept in the environment during the whole design process. Real-time tools will read sensors signals and send control signals for the drivers. Practical results were obtained and are hereby presented in order to illustrate the use and the characteristics of the platform. The use of flux estimators and current control was also exemplified in simulation and real-time implementation in such way that all the potentiality of the developed platform could be demonstrated.

关键词： Induction machines MATLAB Automatic control Rotors Stators automation Real time systems Induction generators Mathematical model Induction motors

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Testing of genetic-PI based controller for IPMSM drive

Testing of genetic-PI based controller for IPMSM drive

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IEEE International Conference on Industrial Technology (ICIT)

作者： M.A. Rahman M.A. Hoque C.B. Butt M.N. Uddin M.A. Abido Faculty of Engineering & Applied Science Memorial University of NewFoundland Saint John's NEW Canada Modeling Automation and Control Engineering Laboratory Department of Electrical Engineering Lakehead University Thunder Bay ONT Canada Electrical Engineering Department King Fahd University of petroleum and Minerals Dhahran Saudi Arabia

This paper presents a laboratory testing of genetic algorithm (GA) based self-tuned PI controller for the speed control of interior permanent magnet synchronous motor (IPMSM). A radial basis artificial neural network function is used for on-line tuning of the PI controller. GA has been used in this work in order to obtain the optimized values of the PI constants for precise speed control. An performance index has been developed using GA, whose minimum value ensures zero steady-state error, minimum speed deviation and minimum settling time of the IPMSM drive. The initial values of the radial basis function network (RBFN) are obtained through off-line learning. Training data for off-line learning are generated by simulating the IPMSM drive under various operating conditions and uncertainties. For on-line implementation, the PI constants are tuned by updating the parameters of the RBFN maintaining the genetic performance index at its minimum value. In real time implementation, the proposed controller has been realized using a digital signal processor (DSP) board DS1102 for a 1hp laboratory IPMSM. The control algorithm is written in C++, compiled and then down loaded to the DSP board. The agreement between the simulation and test results confirms the effectiveness of the proposed controller for the vector control of the IPMSM.

关键词： Laboratories Velocity control Performance analysis Digital signal processing Automatic testing Genetic algorithms Permanent magnet motors Artificial neural networks Tuning Steady-state

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ROBUST SPECIFICATION INFLUENCE ON FEEDBACK control STRATEGIES

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IFAC Proceedings Volumes 2002年第1期35卷 425-430页

作者： M. Gil-Martínez M. García-Sanz System Engineering and Automation Group Electrical Engineering Department University of La Rioja. Luis de Ulloa 20 26004 Logroño SPAIN Automatic Control and Computer Science Department Public University of Navarra. Campus Arrosadía 31006 Pamplona SPAIN

The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuators. This implies the necessity of design tradeoffs highly transparent from the Quantitative Feedback Theory. Supposing a given uncertainty for a plant, the set of performance and stability requirements will condition the problem solution. Taking advantage of the QFT bound typology and formulation, the contribution of the robust specification values to their simultaneous achievement will be analysed and particularly as regards the challenging task of the controller design.

关键词： Robust control Uncertain dynamical systems Quantitative Feedback Theory

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