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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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The Study of the Voltage Frequency Effects on Partial Discharge Characteristics

The Study of the Voltage Frequency Effects on Partial Discha...

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International Conference on engineering, Applied Sciences, and Technology (ICEAST)

作者： Nattapon Marukatat Thanatorn Mai-eiam Punyavee Chaisiri Jedsada Raxsa Phethai Nimsanong Peerawut Yutthagowith School of Engineering King Mongkut's Institute of Technology Ladkrabang Ladkrabang Bangkok Thailand Power System Control Department Power System Analysis Section Metropolitan Electricity Authority Bangkok Thailand

In this paper, the partial discharge (PD) characteristics under the voltage at frequencies in the range of 20 Hz to 300 Hz are studied. Three main types of PD being corona, surface and internal discharges are simulated by an arrangement of electrodes in test cells. The effects of voltage frequency on the PD characteristics in terms of PD inception voltage (PDIV), PD extinction voltage (PDEV), and phase-resolved PD (PRPD) patterns have been reported from the experimental results. It is found that in the frequency range of 20 Hz to 300 Hz there is no frequency effect on the PD characteristics (PDIV, PDEV, and PRPD) found in cases of corona and surface discharge. However, the frequency effects are found in the case of the internal discharge representing the higher frequency increase the higher PDIV and PDEV are.

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Reference-tracking feedforward control design for linear dynamical systems through signal decomposition

Reference-tracking feedforward control design for linear dyn...

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American control Conference

作者： Yanin Kasemsinsup Raffaele Romagnoli Marcel Heertjes Siep Weiland Hans Butler Control Systems Group Department of Electrical Engineering Control Engineering and System Analysis(SAAS) Universitè Libre de Bruxelles(ULB) Belgium Control Systems Technology Group Department of Mechanical Engineering Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands

ISBN: (纸本)9781509045839

In this work, we study a novel approach towards the reference-tracking feedforward control design for linear dynamical systems. By utilizing the superposition property and exploiting signal decomposition together with a quadratic optimization process, we obtain a feedforward design procedure for arbitrary linear multi-input and multi-output (MIMO) systems with arbitrary time/parameter-varying characteristics. In other words, the proposed algorithm is applicable to the broad class of linear systems, i.e. linear-time-invariant (LTI), linear-time-varying (LTV) and linear-parameter-varying (LPV) systems. The interplay between the initial state, feedforward and feedback actions are elaborated in detail. The potential of the presented methodology is demonstrated through simulation examples.

关键词： design linear dynamical signal resolution DYNAMICAL systemS Linear design control FEEDFORWARD control Optimization Procedure design process FEEDFORWARD Linear system

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Improving power flow convergence by Newton Raphson with a levenberg-marquardt method

Improving power flow convergence by Newton Raphson with a le...

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IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES

作者： Lagace, P.J. Vuong, M.H. Kamwa, I. IEEE Electrical Engineering Department Ecole de Technologie Supérieure Montreal QC H3C 1K3 Canada Hydro-Québec/IREQ Power System Analysis Operation and Control Varennes QC J3X 1S1 Canada

ISBN: (纸本)9781424419067

This paper presents a comparative study of different techniques for improving the convergence of power flow by adjusting the Jacobian iteratively within the Newton Raphson method. These techniques can be used for improving the rate of convergence, increasing the region of convergence or just to find a power flow solution when traditional procedures may diverge or possibly oscillate until an iteration limit is reached even though a valid solution exists. Different techniques are first derived from an investigation of various schemes with the Newton process for the search of roots for a single variable function. The methods are then extended to the power flow problem. Comparisons of the region of convergence on a large power system are also presented to illustrate the effectiveness of the proposed methods. © 2008 IEEE.

关键词： Newton-Raphson method

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Stochastic hybrid observer for bioprocess state estimation 9th

Stochastic hybrid observer for bioprocess state estimation

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9th IFAC International Symposium on Computer Applications in Biotechnology, CAB 2004

作者： Hulhoven, X. Hanus, R. Bogaerts, Ph. Université Libre de Bruxelles General Chemistry and Biosystems Department Av. F.-D. Roosevelt 50 CP 165/55 Brussels1050 Belgium Université Libre de Bruxelles Control Engineering and System Analysis Department Av. F.-D. Roosevelt 50 CP 165/55 Brussels1050 Belgium

State observers provide estimates of non-measured variables based on a mathematical model of the process and some available hardware sensor signals. On the one hand, exponential observers, such as the full horizon observer (FHO) or Kaiman filters, have an adjustable rate of convergence, but strongly rely on the accuracy of the process model. On the other hand, asymptotic observers use a state transformation in order to avoid using the (usually uncertain) kinetic model, but have a rate of convergence imposed by the process dilution rate. In an attempt to combine the advantages of both techniques, a hybrid observer is developed. The principle of this hybrid observer is to compare the observations made by the two observers in order to perform a test on the process model quality and to provide, accordingly, a state estimation that evolves between the two above-mentioned limit observations (observations from an exponential or the asymptotic observer). Copyright © IFAC Computer Applications in Biotechnology, Nancy, France, 2004.

关键词： State estimation

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Stochastic full horizon-asymptotic hybrid observer applied to a simulated cell culture 9th

Stochastic full horizon-asymptotic hybrid observer applied t...

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9th IFAC International Symposium on Computer Applications in Biotechnology, CAB 2004

作者： Hulhoven, X. Hanus, R. Bogaerts, Ph. Université Libre de Bruxelles General Chemistry and Biosystems Department Av. F.-D. Roosevelt 50 CP 165/61 Brussels1050 Belgium Université Libre de Bruxelles Control Engineering and System Analysis Department Av. F.-D. Roosevelt 50 CP 165/61 Brussels1050 Belgium

In an attempt to combine the advantages of an exponential state observer (i.e. fast convergence with an accurate model) and an asymptotic one (i.e. convergence without any knowledge about the kinetic model), a stochastic hybrid observer, which compares the observations made by the two observers has been developed (Hulhoven et al., 2003). This comparison is made in order to perform a test on the process model quality and to provide a state estimation that evolves, accordingly, between the state estimation provided by the exponential observer and the one from the asymptotic one. In this contribution, the stochastic hybrid observer is established by using a full horizon observer as the exponential observer. The performances of this hybrid observer, are then tested on a simulated fed-batch cell culture. Copyright © IFAC Computer Applications in Biotechnology, Nancy, France, 2004.

关键词： State estimation

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Voxel-based treatment prediction of glioblastoma multiform tumor using diffusion tensor imaging

Voxel-based treatment prediction of glioblastoma multiform t...

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IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health engineering

作者： Sabahi, Hadi Soltanian-Zadeh, Hamid Scarpace, Lisa Mikkelsen, Tom Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States Hermelin Brain Tumor Research Center Neurosurgery Department Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)9781457721779

This paper proposes a method to predict the effect of Bevacizumab therapy on Glioblastoma Multiform (GBM) tumors. The prediction is critical for effective treatment planning. The proposed method is developed and evaluated using Diffusion Tensor Imaging (DTI) and post-contrast T1-weighted Magnetic Resonance Images (pc-T1-MRI) of 14 patients with GBM tumors gathered before and after the treatment. First, the proposed method calculates diffusion anisotropy indices (DAI) of all voxels in the brain. These diffusion anisotropy indices are Fractional Anisotropy (FA), Mean Diffusivity (MD), Relative Anisotropy (RA), and Volume Ratio (VR). Then, it registers post-treatment pc-T1-MRI and pre-treatment DAI maps to pre-treatment pc-T1-MRI. Next, it uses a thresholding method to segment the tumor from pc-T1-MRI studies. Comparing Gd-enhanced voxels of the pre- and post-treatment pc-T1-MRI, the DAIs of the tumor are labeled based on their response to the treatment. The voxels of 7 patients are randomly selected to train 4 classifiers (ANN, SVM, KNN, and ANFIS) and then all voxels of the other 7 patients are used to test them. For each classifier, four performance measures (sensitivity, specificity, positive predictive value, and accuracy) are calculated. Experimental results show that the ANFIS is more accurate than the other classifiers in predicting the treatment response. © 2012 IEEE.

关键词： Tumors

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Voxel based treatment prediction using diffusion anisotropy indices and spatial information in Glioblastoma Multiform tumor

Voxel based treatment prediction using diffusion anisotropy ...

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2011 18th Iranian Conference of Biomedical engineering, ICBME 2011

ISBN: (纸本)9781467310055

In this paper, we propose a method to predict the outcome of Bevacizumab therapy on Glioblastoma Multiform (GBM) tumors. The method uses diffusion anisotropy indices (DAI) and spatial information to predict the treatment response of each tumor voxel. These DAIs are Fractional Anisotropy, Mean Diffusivity, Relative Anisotropy, and Volume Ratio, extracted from Diffusion Tensor Imaging (DTI) data before treatment. The spatial information is considered as the distance of each tumor voxel from the tumor center, extracted from pre-treatment post-contrast T1-weighted Magnetic Resonance Images (pc-T1-MRI). DAIs and spatial information of each tumor voxel are considered as feature vector. DTI and pc-T1-MRI are gathered before and after the treatment of seven GBM patients. First, DAIs of all brain voxels and the distance of each tumor voxel from the tumor center are calculated. Second, the method registers pre-treatment DAI maps and post-treatment pc-T1-MRI to pre-treatment pc-T1-MRI. Next, the tumor is segmented using thresholding technique from pc-T1-MRI. Then, Gd-enhanced voxels of the pre- and post-treatment pc-T1-MRI are compared to label the feature vectors. Three classifiers were evaluated, including Support Vector Machine, K-Nearest Neighbor, and Artificial Neural Network. Classification results show a preference for K-Nearest Neighbor based on well-established performance measures. © 2011 IEEE.

关键词： Tumors

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A Blockchain Approach to IoT Security and Reliability analysis 3

A Blockchain Approach to IoT Security and Reliability Analys...

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3rd International Conference on Intelligent engineering and Management, ICIEM 2022

作者： Jain, Nilesh Wahid, Nazia Al-Farhani, Liwa H. Manideep, A. Sai Bhardwaj, Vikash Sangeeth Kumar, M. Mandsaur University Department of Computer Applications Madhya Pradesh Mandsaur India Vishwakarma University Faculty of Science & Technology Department of Mathematics & Statistics Maharashtra Pune India RDUN University System Analysis Control and Information Processing Academy of Engineering Moscow Russia Vignan's Foundation for Science Technology and Research Department of Management Studies Andhra Pradesh Guntur India Dewan VS Institute of Engineering & Technology Uttar Pradesh Meerut India Sona College of Technology Mechanical Engineering Department Tamilnadu Salem India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

An investigation area of interest including the use of blockchain technology to address Internet of Things security concerns (IoT). Despite the fact that numerous relevant ideas have been offered, there are few published works that provide hypothetical and information backing. The examination of model building and execution assessment is the focus of this research. First, an IoT security paradigm is outlined, using blockchain and the Inter-Planetary-File-system (IPFS) in a view. Many of the security risks associated with traditional IoT designs can be avoided with this paradigm, and framework execution is entirely focused on distributed large limit stockpiling, simultaneity, and query. In addition, the suggested model's display is evaluated using normal idleness and throughput, which are important for further investigation and enhancement of this course. The blockchain-based security model's feasibility has been demonstrated via analysis and experiments. © 2022 IEEE.

关键词： Blockchain

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Aerothermal design of the Hexafly-INT glider

Aerothermal design of the Hexafly-INT glider

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AIAA Space and Astronautics Forum and Exposition, SPACE 2016

作者： Scigliano, Roberto Pezzella, Giuseppe Marini, Marco Di Benedetto, Sara Steelant, Johan CIRA Italian Aerospace Research Center Thermal Structures and Thermal Control Technologies and Design Via Maiorise CapuaCE81043 Italy ESA-ESTEC European Space Agency Aerothermodynamics Analysis and extrapolation to Flight Lab Keplerlaan 1 Noordwijk2200 AZ Netherlands Space Department Technology Integration Aeronautics - System Engineering Netherlands

ISBN: (数字)9781624104275

ISBN: (纸本)9781624104275

Over the last years, innovative concepts of civil high-speed transportation vehicles were proposed. These vehicles have a strong potential to increase the cruise range efficiency at high Mach numbers, thanks to efficient propulsion units combined with high-lifting vehicle concepts. In this framework the Hexafly-INT project has the scope to test in free-flight conditions an innovative gliding vehicle with several breakthrough technologies on-board. This work describes the aero-thermal design processes of the Hexafly-INT Experimental Flight Test Vehicle, namely EFTV. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Free flight

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