Search results for "Control theory"

showing 10 items of 1333 documents

Impact of Demand Response Control Logic on Isolated Island's Distribution Networks

2019

The work presents the results of a study regarding the impact of some Demand Response control logics on an isolated distribution network. The proposed control is divided into precise steps in which the coordination between the general aggregator controller and the single local Energy Management Systems is developed and illustrated with details. The control is applied to the flexible loads and to the storage systems of photovoltaic plants installed at the end-users' houses and connected to the network. The study is carried out delivering a suitable network model of the island's system, with the implementation of load profiles for all the loads of the network for a total simulation time of 24…

Demand responseelectric storageComputer scienceEnergy managementPhotovoltaic systemControl (management)demand response; EES; electric storage; flexible loads; load aggregation; photovoltaic; PV; small islandsflexible loadsload aggregationControl engineeringPVcomputer.software_genresmall islandsEESNews aggregatorphotovoltaicSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDemand responseflexible loadControl theoryControl logiccomputerNetwork model2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
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An advanced control strategy for biological nutrient removal in continuous systems based on pH and ORP sensors

2012

[EN] A fuzzy logic-based control system that uses low-cost sensors for controlling and optimizing the biological nitrogen removal in continuous systems has been developed. The novelty of this control system is the use of several pH, ORP, and dissolved oxygen (DO) sensors instead of on-line nitrogen sensors/analyzers. The nitrogen control system was developed and implemented in a UCT pilot plant fed with wastewater from a full-scale plant. The developed nitrification controller allows the effluent ammonium concentration to be maintained below the effluent criteria discharge with the minimum energy consumption. The denitrification process controller allows the energy consumption derived from …

DenitrificationChemistryGeneral Chemical EngineeringEnvironmental engineeringGeneral ChemistryEnergy consumptionNitrificationIndustrial and Manufacturing EngineeringFuzzy logicPilot plantWastewaterControl theoryControl systemControlDenitrificationEnvironmental ChemistryNitrificationBiological nitrogen removalLow-cost sensorsEffluentTECNOLOGIA DEL MEDIO AMBIENTE
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Update on desiccant wheel model

2004

This short communication presents the update on the desiccant wheel models, developed earlier by the present authors. It is to be mentioned here that the psycrometric model presented earlier (Int. J. Energy Res., 2003; 27:17) is valid only for the desiccant wheel running with identical volume air-flows in supply and regeneration sides. However, when system runs with volume air flow ratio between supply and regeneration side (α), different from 1 (one), the model need further modifications. In the present work, correction factors were developed and incorporated in order to update the earlier model for predicting correctly the temperature and humidity of processed air at the outlet of desicca…

DesiccantWork (thermodynamics)EngineeringRenewable Energy Sustainability and the Environmentbusiness.industryAirflowEnergy Engineering and Power TechnologyFuel TechnologyNuclear Energy and EngineeringVolume (thermodynamics)Control theoryWheel runningPerformance predictionForensic engineeringbusinessInternational Journal of Energy Research
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Model-Based Decision Support System for Individual Prescription of the Dialysate Bicarbonate Concentration in Hemodialysis

1992

A decision support system has been developed that determines the optimal dialysate bicarbonate concentration in hemodialysis therapy for each patient individually. The knowledge about the behavior of the acid-base state during treatment has been provided by a mathematical model for the description of dynamic exchange processes during hemodialysis. This model simulates the sodium and water distribution, the acid-base state as well as the ventilation. The decision support system uses the model for the prediction of the end-dialysis acid-base state and calculates by means of linear optimization the dialysate bicarbonate concentration which is necessary to reach a specified end-dialysis state.…

Dialysate sodiumDecision support systemmedicine.medical_specialtyComputer sciencemedicine.medical_treatmentBicarbonate0206 medical engineering030232 urology & nephrologyBiomedical EngineeringMedicine (miscellaneous)Bioengineering02 engineering and technologyGeneral Medicine020601 biomedical engineeringBiomaterials03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryControl theorymedicineTreatment timeHemodialysisState (computer science)Intensive care medicineThe International Journal of Artificial Organs
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Gaussian and non-Gaussian stochastic sensitivity analysis of discrete structural systems

2000

Abstract The derivatives of the response of a structural system with respect to the system parameters are termed sensitivities. They play an important role in assessing the effect of uncertainties in the mathematical model of the system and in predicting changes of the response due to changes of the design parameters. In this paper, a time domain approach for evaluating the sensitivity of discrete structural systems to deterministic, as well as to Gaussian or non-Gaussian stochastic input is presented. In particular, in the latter case, the stochastic input has been assumed to be a delta-correlated process and, by using Kronecker algebra extensively, cumulant sensitivities of order higher t…

Differential equationStochastic processGaussianMechanical EngineeringStructural systemstochastic analysisComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science Applicationssymbols.namesakeControl theoryKronecker deltaModeling and SimulationsymbolsApplied mathematicsGeneral Materials ScienceSensitivity (control systems)Time domainMaterials Science (all)Sensitivity analysis; stochastic analysis; Non-Gaussian stochastic analysisSensitivity analysisGaussian processNon-Gaussian stochastic analysisMathematicsCivil and Structural Engineering
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Batch fermentation process: Modelling and direct sensitivity analysis

2009

Based on a nonlinear model, this article realizes an investigation of dynamic behaviour of a batch fermentation process using direct sensitivity analysis (DSA). The used nonlinear mathematical model has a good qualitative and quantitative description of the alcoholic fermentation process. This model has been discussed and validated by authors in other studies. The DSA of dynamic model was used to calculate the matrix of the sensitivity functions in order to determine the influence of the small deviations of initial state, control inputs, and parameters from the ideal nominal values on the state trajectory and system output in time. Process optimization and advanced control strategies can be…

Direct sensitivity analysisProcess modelingMathematical modelComputer scienceBatch fermentationNonlinear systemNonlinear mathematical modelProcess simulationControl theoryScientific methodTrajectoryGénie chimiqueProcess optimizationSensitivity (control systems)Process simulationGénie des procédésFood ScienceActa Alimentaria
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Validation of a New Method for the Diagnosis of Rotor bar Failures via Wavelet Transformation in Industrial Induction Machines

2006

[EN] In this paper, the authors propose a method for the diagnosis of rotor bar failures in induction machines, based on the analysis of the stator current during the startup using the discrete wavelet transform (DWT). Unlike other approaches, the study of the high-order wavelet signals resulting from the decomposition is the core of the proposed method. After an introduction of the physical and mathematical bases of the method, a description of the proposed approach is given; for this purpose, a numerical model of induction machine is used in such a way that the effects of a bar breakage can clearly be shown, avoiding the influence of other phenomena not related with the fault. Afterward, …

Discrete wavelet transformEngineeringStatorCascade algorithmWavelet analysisFault (power engineering)Industrial and Manufacturing Engineeringlaw.inventionHarmonic analysisBroken rotor barssymbols.namesakeWaveletControl theorylawElectrical and Electronic EngineeringFault diagnosisbusiness.industryRotor (electric)Wavelet transformTime–frequency analysisFourier transformControl and Systems Engineeringsymbolsstartup transientINGENIERIA ELECTRICAbusinessInduction motor
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The Use of the Wavelet Approximation Signal as a Tool for the Diagnosis of Rotor Bar Failures

2005

[EN] The aim of this paper is to present a new approach for rotor bar failure diagnosis in induction machines. The method focuses on the study of an approximation signal resulting from the wavelet decomposition of the startup stator current. The presence of the left sideband harmonic is used as evidence of the rotor failure in most diagnosis methods based on the analysis of the stator current. Thus, a detailed description of the evolution of the left sideband harmonic during the startup transient is given in this paper; for this purpose, a method for calculating the evolution of the left sideband during the startup is developed, and its results are physically explained. This paper also show…

Discrete wavelet transformEngineeringStatorWavelet analysisSignalIndustrial and Manufacturing Engineeringlaw.inventionHarmonic analysisBroken rotor barsWaveletStartup transientControl theorylawElectrical and Electronic EngineeringFault diagnosisApproximation theorySidebandbusiness.industryRotor (electric)Wavelet transformControl and Systems EngineeringHarmonicINGENIERIA ELECTRICATransient (oscillation)business
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Robust stabilisation of 2D state-delayed stochastic systems with randomly occurring uncertainties and nonlinearities

2013

This paper is concerned with the state feedback control problem for a class of two-dimensional (2D) discrete-time stochastic systems with time-delays, randomly occurring uncertainties and nonlinearities. Both the sector-like nonlinearities and the norm-bounded uncertainties enter into the system in random ways, and such randomly occurring uncertainties and nonlinearities obey certain mutually uncorrelated Bernoulli random binary distribution laws. Sufficient computationally tractable linear matrix inequality–based conditions are established for the 2D nonlinear stochastic time-delay systems to be asymptotically stable in the mean-square sense, and then the explicit expression of the desired…

Distribution (number theory)Linear matrix inequality (LMI)Linear matrix inequality2D stochastic systems; Linear matrix inequality (LMI); Randomly occurring nonlinearities; Randomly occurring uncertainties; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionBinary numberComputer Science Applications1707 Computer Vision and Pattern RecognitionExpression (computer science)Randomly occurring nonlinearitiesComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemBernoulli's principleControl and Systems EngineeringControl theoryStability theory2D stochastic systemsRandomly occurring uncertaintiesMathematicsInternational Journal of Systems Science
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Control of Production-Distribution Systems under Discrete Disturbances and Control Actions

2011

This paper deals with the robust control and optimization of production-distribution systems. The model used in our problem formulation is a general network flow model that describes production, logistics, and transportation applications. The novelty in our formulation is in the discrete nature of the control and disturbance inputs. We highlight three main contributions: First, we derive a necessary and sufficient condition for the existence of robustly control invariant hyperboxes. Second, we show that a stricter version of the same condition is sufficient for global convergence to an invariant set. Third, for the scalar case, we show that these results parallel existing results in the set…

Distribution systemMathematical optimizationSettore ING-INF/04 - AutomaticaControl theoryNoveltyHypercubealphapet control production-distribution systemsInvariant (physics)Robust controlSettore MAT/09 - Ricerca OperativaFlow networkMathematics
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