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作者： Gálvez-Carrillo, Manuel De Keyser, Robin Ionescu, Clara Department of Control Engineering and System Analysis Université Libre de Bruxelles Av. F.D. Roosevelt 50-CP165/55 B1050 Brussels Belgium Department of Electrical Energy Systems and Automation Ghent University Technologiepark 913 B9052 Gent Belgium

ISBN: (纸本)9783902661289

Renewable energies are gaining space in the energy generation panorama, thanks to technological advances and policy support. To take profit of these energies in an optimal and sustained way, research of new control strategies becomes imperative. This work presents the study and application of a nonlinear control strategy, where a Smith Predictor is added to the Nonlinear Extended Prediction Self-Adaptive control (NEPSAC), for the control of a Solar Power Plant. Different simulations are performed to study the effect of the design parameters in the dynamic behavior of the system. Copyright © 2007 IFAC.

关键词： Solar energy

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Synthesis and photocatalytic capability of Cr-TiO2 film

Synthesis and photocatalytic capability of Cr-TiO2 film

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International Nano-Optoelectronic Workshop, iNOW

作者： Xiaojuan, Lu Duowang, Fan Duojin, Fan Hongzhong, Liu School of Automation and Electric Engineering Lanzhou Jiaotong University Lanzhou 730070 China MOE Key Lab. of Opto-electronic Technology and Intelligence Controll Lanzhou Jiaotong University Lanzhou 730070 China Lanzhou Dachen Automatic Control System Co. Ltd. Lanzhou 730070 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

A TiO2 catalyst doped by Cr was prepared by the sol-gel method and characterized by UV-2550 and FS. The results revealed that the Cr 6+-doped TiO2 film had the higher photocatalytic activity than pure TiO2 film. ©... 详细信息

ISBN: (纸本)1424415918

关键词： Sol-gel process

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A Hybrid Current controller for Linear Reciprocating Vapor Compressors

A Hybrid Current Controller for Linear Reciprocating Vapor C...

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

作者： Zhengyu Lin Jiabin Wang David Howe Emerson Industrial Automation Control Techniques Limited Newtown Powys UK Department of Electronic and Electrical Engineering University of Sheffield Sheffield UK

Direct-drive linear reciprocating compressors offer numerous advantages over conventional counterparts which are usually driven by a rotary induction motor via crank shaft. However, to ensure efficient and reliable operation under all conditions, it is essential that the motor current of the linear compressor follows a sinusoidal command profile with a frequency which matches the system resonant frequency. This paper describes a hybrid current controller for the linear compressors. It comprises a conventional proportional-integral (PI) controller, and a B-spline neural network compensator which is trained on-line and in real-time in order to minimize the current tracking error under all conditions with uncertain disturbances. It has been shown that the hybrid current controller has a superior steady-state and transient performance over the conventional carrier based PI controller. The performance of the proposed hybrid controller has been demonstrated by extensive simulations and experiments. It has also been shown that the linear compressor operates stably under the current feedback control and the piston stroke can be adjusted by varying the amplitude of the current command.

关键词： Compressors Induction motors Shafts Resonant frequency Pi control Proportional control Spline Neural networks Error correction Steady-state

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Benchmark problems of Signal Processing and control for Testing Emergent Architectures and Programming Techniques of DSP's, FASIC's, and PLD's

Benchmark problems of Signal Processing and Control for Test...

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Computer Information systems and Industrial Management Applications (CISIM)

作者： Adam Dabrowski Pawel Pawlowski Department of Computing and Management Chair of Control and System Engineering Division of Signal Processing and Electronic Systems Poznań University of Technology Poznan Poland

In this paper we present four carefully selected computationally intensive signal processing problems, which can serve as benchmark applications for efficiency testing of modern DSP's, FASIC's, and PLD's.

关键词： Benchmark testing Signal processing Process control Digital signal processing Signal generators control systems Vehicle crash testing Circuit testing system testing Finite impulse response filter

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Virtual Instruments: Uncertainty Evaluation in the Presence of Electromagnetic Interferences

Virtual Instruments: Uncertainty Evaluation in the Presence ...

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IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement (AMUEM)

作者： Salvatore Nuccio Ciro Spataro Giovanni Tine Department of Electric Electronic and Telecommunication Engineering University of Palermo Palermo Italy Institute of Intelligent System for Automation (ISSIA) National Research Council Palermo Italy

The electromagnetic interferences can influence the performances of a virtual instrument; consequently, in a generic measurement performed by using these instruments, the related uncertainty values can increase. In the paper, we report the results of various experimental tests performed with the aim to check if and how the radiated and/or conducted disturbances affect the instruments' characteristics and, in particular, the single uncertainty sources. Starting from these results and applying an already proposed method for the uncertainty estimation in the measurements performed by means of virtual instruments, it is possible to take into account and to evaluate the contribute of the electromagnetic emissions to the uncertainty values.

关键词： Instruments Electromagnetic interference Performance evaluation Electromagnetic measurements Measurement uncertainty Data acquisition Radio frequency Electric variables measurement IEEE members Testing

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Comparison between model based controllers for a distributed solar collector field

Comparison between model based controllers for a distributed...

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European control Conference (ECC)

作者： M. Gálvez-Carrillo R. De Keyser C. Ionescu Department of Control Engineering and System Analysis Universite Libre de Bruxelles Brussels Belgium EeSA - department of Electrical energy Systems and Automation Ghent University Gent Belgium

This work presents the comparison between the results obtained from applying three different control strategies for regulating the temperature in a distributed solar collector (DSC) field. A nonlinear predictive control strategy, the Nonlinear Extended Prediction Self-Adaptive control (Nonlinear EPSAC or NEPSAC), is compared with a linear predictive controller and a PI controller. All control strategies include a Smith Predictor and use a model of the process for the tuning of the controllers. Simulations on a model based on physical and geometric properties of the solar field are performed and controllers are validated on real data measurements.

关键词： Mathematical model Computational modeling Predictive models Feedforward neural networks Optical filters Tuning Solar radiation

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Weed Detection utilizing Quadratic Polynomial and ROI Techniques

Weed Detection utilizing Quadratic Polynomial and ROI Techni...

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Student Conference on Research and Development (SCOReD)

作者： Asnor Juraiza Ishak Siti Salasiah Mokri Mohd Marzuki Mustafa Aini Hussain Control Unit Department of Electrical & Electronic Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Electrical Electronic & System Engineering Faculty of Engineering Universiti Kebangsaan Malaysia Bangi Selangor Darul Ehsan Malaysia

Machine vision for selective weeding or selective herbicide spraying relies substantially on the ability of the system to analyze weed images and process the extracted knowledge for decision making prior to implementing the identified control action. To control weed, different weed type would require different herbicide formulation. Consequently the weed must be identified and classified accordingly. In this work, weed images were classified as either broad or narrow weed type. A fundamental problem in weed image recognition using planar curve analysis is to detect curve. It is difficult to successfully extract curve from the image of weed edges since the appropriate scale to use for extraction is not known a priori. As such, this paper considers a curve detection method based on the quadratic polynomial technique which include the use of the region-of- interests (ROI) technique. The ROI technique creates image subsets by selecting regions of the displayed image. The ROIs are typically used to extract statistics for image operations such as classification. As such, the objective of this paper is to present a novel application of curve detection feature extraction technique in weed classification.

关键词： Polynomials Image analysis Machine vision Spraying Decision making control systems Image recognition Image edge detection Statistics Feature extraction

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Delay-dependent Guaranteed Cost control for Uncertain Nonlinear Discrete-time systems

Delay-dependent Guaranteed Cost Control for Uncertain Nonlin...

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IEEE International Conference on Mechatronics and automation

作者： Dongmei Yue Zhiyuan Liu Xiaodong Gai Run Pei Department of Control Science and Engineering Harbin Institute of Technology Heilongjiang China Department of Equipment System And Automation Dalian Naval Academy Liaoning China Department of Electrical Engineering Harbin Institute of Technology Heilongjiang China

The delay-dependent guaranteed cost control problem is studied for a class of uncertain nonlinear discrete systems with time-delay. A sufficient condition is presented for the existence of a memory state feedback and a parameterized representation of the control laws is given in terms of certain linear matrix inequalities (LMIs). The non-convex feasible problem is converted into convex optimization problem, and the design procedure of optimal control law is given.

关键词： Costs Nonlinear control systems control systems Delay systems Sufficient conditions State feedback Linear feedback control systems Linear matrix inequalities Design optimization Optimal control

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Compensation Implementation for Improving Luminance Uniformity of Light Emitting Diode Array Panel

Compensation Implementation for Improving Luminance Uniformi...

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2007亚洲显示国际会议

作者： Ming-Jong Tsai S.Y.Yeh Chang-Jung Juan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taiwan China Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taiwan China Department of Electronic Engineering Hwa Hsia Institute of Technology Taiwan China

In this paper,an automated optical inspection/calibration technology,and a luminance compensated driver were inte- grated to improve the display uniformity of LED array *** luminance data was measured and analyzed to build a compensated Look Up Table (CLUT) according to the luminance curve of a LED lamp.A LED array panel with 16 by 16 pixels was lighted and compensated in this *** average luminance uniformity of over 92% was *** pro- posed compensation mechanism can improve the luminance uniformity and could be applied into either automatic voltage compensated driver or pulse width modulation with constant current driver to solve the problem of luminance non- uniformity of LED display panel.

关键词： Luminance Uniformity Compensation Look-up Table LED Array Panel Pulse Width Modulation(PWM)

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NEURAL-ADAPTIVE control BASED ON ADALINE NEURONS WITH APPLICATION TO A POWER system

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IFAC Proceedings Volumes 2007年第18期40卷 457-464页

作者： Ioan Filip Octavian Prostean Florin Dragan Cristian Vasar Department of Control System Engineering “Politehnica” University from Timisoara Faculty of Automation and Computer Science 300223 Timisoara Romania Phone: (+40) 0256-403238 E-Mail: ioan.filip@aut.upt.ro

A neural-adaptive control solution is exposed in this paper. The control strategy is based on the linear adaptive neuron, which is called ADALINE. Unlike other neural control solutions, based on perceptrons neurons characterized by a long time learning process and a difficult on-line tuning of weights, this approach uses a fast algorithm, which adapts on-line the neuron's weights. Therefore the non-linear character of control law is induced by the permanent changes of neuron weights, which are variable parameters of controller. A set of study cases is done, with application to the excitation control of a synchronous generator.

关键词： adaptive control neural networks ADALINE modelling simulation synchronous generator

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