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IEEE International Conference on Industrial Technology (ICIT)

作者： A. Sadeghzadeh B.N. Araabi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper provides a model predictive approach to control switched reluctance motors (SRM's). A local linear neuro-fuzzy model is used to model SRM. Then a predictive control schema is devised considering an appropriate energy term in the optimization phase. Commutation occurs naturally as an outcome of the predictive control design process, not as an extra step added to the control policy. From a computational view point, we use locally linear model predictive control that with a quadratic cost and linear constraints reduces to a simple quadratic program, which can be solved very fast in a closed form. Simulation studies justify applicability of our proposed method to SRM applications.

关键词： Switches Commutation Predictive control Reluctance motors Predictive models Reluctance machines Magnetic materials Photonic crystals Costs Strontium

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Path-following for a class of nonlinear systems with unstable zero dynamics

Path-following for a class of nonlinear systems with unstabl...

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IEEE Conference on Decision and control

作者： D.B. Dacic M.V. Subbotin P.V. Kokotovic Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California슠Santa Barbara Santa Barbara CA USA

In the practical path-following problem formulated in this paper, it is required that the error between the system output and the desired geometric path be less then any prespecified constant. If in a nonlinear MIMO system the output derivatives do not enter the zero dynamics, a geometric condition on the path is given under which a solution to this problem exists. The solution is obtained by combining input-to-state stability and switched-system methodology.

关键词： Nonlinear systems Nonlinear dynamical systems Output feedback Optical character recognition software Sufficient conditions MIMO Stability Humans Linear systems Vectors

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Estimation of physical parameters of stable and unstable systems via estimation of step response

Estimation of physical parameters of stable and unstable sys...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： P.J. Gawthrop Liuping Wang Center for Systems and Control and Department of Mechanical Engineering University of Glasgow Glasgow UK School of Electrical and Computer Engineering RMIT University VIC Australia

Experimental validation of a two-stage method for the identification of physical system parameters from experimental data is presented. The first stage compresses the data as an empirical model and the second stage then uses data extracted from the empirical model of the first stage within a non-linear estimation scheme to estimate the unknown physical parameters. The approach handles unstable systems using exponential weighting.

关键词： Parameter estimation control systems Data mining Polynomials Bonding System identification Data compression Predictive models Mechanical engineering Physics computing

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Robust stabilization of discrete-time nonlinear systems by certainty equivalence output feedback with applications to model predictive control

Robust stabilization of discrete-time nonlinear systems by c...

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American control Conference (ACC)

作者： M.J. Messina S.E. Tuna A.R. Teel Center for Control Engineering and Computation Department of Electrical and Computer Engineering University of California Santa Barbara CA USA Mittag-Leffler Institute Sweden

We present robust stability results for discrete-time nonlinear systems using certainty equivalence output feedback, particularly those that employ a model predictive control (MPC) formulation to generate the feedback control law. To this end, we discuss nominal robustness properties of general discrete-time nonlinear systems, including those that use discontinuous control laws in the feedback loop. This is important for systems employing MPC since the method can, and sometimes necessarily does, result in discontinuous control laws. Coupling assumptions of nominal robustness with certain uniform observability or detectability assumptions (for each of which we give an observer), we assert that, in particular, MPC is robustly globally asymptotically stabilizing when used in a certainty equivalence output feedback structure. Finally, we give an example to illuminate our results.

关键词： Robust control Nonlinear systems Output feedback Predictive models Predictive control control systems Robustness Robust stability Feedback control Nonlinear control systems

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An experimental study of subsonic cavity flow - physical understanding and control

An experimental study of subsonic cavity flow - physical und...

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2nd AIAA Flow control Conference 2004

作者： Debiasi, M. Yan, P. Little, J. Özbay, H. Myatt, J. Samimy, M. Gas Dynamics and Turbulence Laboratory Collaborative Center of Control Science The Ohio State University GDTL/AARL2300 West Case Road Columbus OH 43235 United States Department of Mechanical Engineering United States Department of Electrical and Computer Engineering United States Air Force Research Laboratory United States

ISBN: (纸本)9781624100307

We present the results of an experimental investigation that uses two different techniques for controlling a shallow cavity flow in the Mach number range 0.25-0.5. The first method is basically an open-loop design that relies on zero-net-mass forcing at an optimal frequency for suppressing the cavity flow resonance. The second method is a parallel-proportional with time delay controller, a linear control design that relies on real-time feedback from the flow to counteract the resonance. With properly tuned parameters, both methods are successful in reducing the cavity resonance for flows in the Mach number range explored. However the parallel-proportional controller exhibits a superior robustness with respect to departure of the Mach number from the design conditions, a signature of feedback control designs that are naturally more capable to handle changes of the open-loop plant. An additional benefit of the feedback control method is the lower power requirement to achieve comparable suppression of the resonance. An interpretation is presented of the physical mechanisms by which the optimal forcing frequency and the parallel-proportional with time delay controller reduce the cavity flow resonance. The results support the idea that the optimal forcing frequency control induces in the system a rapid switching between modes competing for the available energy that can be extracted from the mean flow. In the case of parallel- proportional control mode switching is also observed which involves a larger range of frequencies and spreads more the extracted energy thus producing a flow with a quieter, more broadband spectral signature.

关键词： Mach number

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Protein metal binding residue prediction based on neural networks

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11th International Conference on Neural Information Processing, ICONIP 2004

作者： Lin, Chin-Teng Lin, Ken-Li Yang, Chih-Hsien Chung, I-Fang Huang, Chuen-Der Yang, Yuh-Shyong Department of Electrical and Control Engineering Chiao-Tung University HsinChu Taiwan Computer Center Chung-Hua University HsinChu Taiwan Inst. of Medical Science University of Tokyo Tokyo Japan Department of Electrical Engineering HsiuPing Institute of Technology Dali Taichung Taiwan Inst. of Bioinformatics Chiao-Tung University HsinChu Taiwan

ISBN: (纸本)3540239316

It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloproteins (proteins which bind with metal ions) by physical means and interpret the function formation and reaction mechanism of enzyme by their structures and observation from experiments in vitro. Most of proteins have primary structures (amino acid sequence information) only;however, the 3-dimension structures are not always available. In this paper, a direct analysis method is proposed to predict protein metalbinding amino acid residues only from its sequence information by neural network with sliding window-based feature extraction and biological feature encoding techniques and it can successfully detect 15 binding elements in protein, and 6 binding elements in enzyme. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metal ions

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Observer-Based Model Reference Sliding-Mode control of Active Suspension Systems

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IFAC Proceedings Volumes 2004年第13期37卷 1407-1412页

作者： Alireza Esna Ashari Mohammad Javad Yazdanpanah Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran. P.O. Box: 14395/515 Iran

In this paper a model reference variable structure controller (VSC) for an active suspension system is designed. A half vehicle model is used in which, the vertical and pitch motions of the mass supported by the suspension and the vertical motion of the suspension masses are considered. Sliding mode controller is applied for the purpose of disturbance attenuation. Unit vector approach, which is a sliding mode control structure for multivariable systems, is used and a robust adaptive nonlinear controller is designed. A reduced-order observer is designed to use only output information. Robust eigenstructure assignment method is implemented in the line of sliding surface design. Simulation results verify the effectiveness of the proposed nonlinear controller scheme in comparison with the passive suspension system and also H ∞ technique. The output of the closed-loop system can also smoothly track a set point in a manner that the vertical position of vehicle may be regulated toward the desired point.

关键词： Model reference Sliding-mode Observers Robust control Active vehicle suspension Passive suspension

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Distributed, master-less control of modular DC-DC converters

Distributed, master-less control of modular DC-DC converters

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Collection of Technical Papers - 2nd International Energy Conversion engineering Conference

作者： Gray, Michael S. Gao, Zhiqiang Button, Robert M. Cleveland State University Cleveland OH 44115 United States NASA Glenn Research Center Cleveland OH United States Department of Electrical and Computer Engineering United States Center for Advanced Control Technologies United States Electrical Systems Research Branch M.S 333-2 21000 Brookpark Rd. United States

ISBN: (纸本)1563477157

A distributed control system (DCS) is developed and hardware verified for a class of digitally controlled modular DC-DC converters. The converters are each independently controlled by its own FPGA-based digital controller. A control Area Network (CAN) is first set up for the converters to communicate in a master-less peer-to-peer manner. An algorithm is developed to make the converters share the load (current) dynamically in a predetermined manner. More importantly, it makes it possible to for all converters to automatically time-shift their PWM gating signals to minimize the current ripple, which is known as interleaving. An algorithm is developed for this distributed master-less control of power converter system so that the load sharing and interleaving are adjusted autonomously, in real time, as the number of converters changes without prior knowledge. Copyright © 2004 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： DC motors

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Abnormality detection of a continuous pan in a sugar mill

Abnormality detection of a continuous pan in a sugar mill

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Liuping Wang A. Giles R. Peirce School of Electrical and Computer Engineering Royal Melbourne Institute of Technology Melbourne Australia Center for Integrated Dynamics and Control Department of Electrical and Computer Engineering University of Newcastle Australia CSR Victoria Mill QLD Australia

This paper reports an industrial application of principle component analysis to process abnormality detection in a sugar mill. The process under investigation is a continuous pan which is one of the most crucial processes in sugar production. Two sets of experimental results are obtained in this work: one is related to an artificially induced fault by a stuck valve; the other captures a naturally occurred fault due to equipment failure. The principle component analysis algorithm successfully detects both faults. Only the latter case is reported in this paper.

关键词： Milling machines Sugar industry Monitoring control charts Modems Principal component analysis Predictive models computer industry electrical products industry Industrial control

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A genetic based approach to the problem of soccer playing using owa operator

A genetic based approach to the problem of soccer playing us...

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Proceedings of the Biannual World Automation Congress

作者： M. Yabandeh H. Mousavi A. Nayyeri C. Lucas University of Tehran Faculty of Engineering Institute of Electrical and Computer Engineering Center of Excellence on Control and Intelligent Processing ECE Dept. University of Tehran and SIS IPM

This paper is an explanation of an approach to the problem of decision making in a multi agent system using genetic algorithm. The soccer game environment is chosen as the distributed system. This algorithm was tested during the Robocop competitions against other teams and could register important accomplishments. We also compare the performance of three averaging methodologies; simple weighted averaging approach, genetic algorithm with simple weighted average function, and genetic algorithm with an OWA function. The paper also elaborates ideas on bounded rationality and memorized estimation employed for making the problem tractable.

关键词： Genetics Open wireless architecture Testing Security

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