Search results for "Control and Systems Engineering"

showing 10 items of 994 documents

Multimedia applications in industrial networks: integration of image processing in profibus

2003

This paper analyzes the transmission of images through Profibus for applications concerned with the processing of images integrated in control systems, by means of a detailed study of two real cases with different bandwidth requirements. We analyze the special features of an artificial vision system making use of Profibus as a transport system, the scheduling of the traffic in order to guarantee the delivery of the images and the control traffic before their deadlines, the protocol used, and the compression techniques usable in this kind of system, which enable us to reduce the necessary bandwidth for the applications without degrading the operation of the image processing application. We p…

EngineeringProfibusbusiness.industryMachine visionReal-time computingImage processingUSableAutomationScheduling (computing)Control and Systems EngineeringControl systemElectrical and Electronic EngineeringbusinessData compressionIEEE Transactions on Industrial Electronics
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CiceRobot: a cognitive robot for interactive museum tours

2007

PurposeThe aim of this paper is to integrate perception, action and symbolic knowledge to allow an autonomous robot to operate in unstructured environments and to interact with non‐expert users.Design/methodology/approachTo achieve such goals, a cognitive robot architecture is proposed based on the integration between subsymbolic and linguistic computations through the introduction of an intermediate level of representation based on conceptual spaces.FindingsThe architecture has been tested in the CiceRobot project on tasks related to guided tours in the Archaeological Museum of Agrigento. Experimental results show that robot cognitive behaviors allow one to achieve a full functional roboti…

EngineeringRobotbusiness.industrymedia_common.quotation_subjectCognitionRoboticsAutonomous robotcomputer.software_genreIndustrial and Manufacturing EngineeringComputer Science Applicationsmuseum guideIntelligent agentControl and Systems EngineeringHuman–computer interactionPerceptionRobotArtificial intelligenceArchitecturebusinessAutonomous system (mathematics)computermedia_commonIndustrial Robot: An International Journal
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Overgrid: A Fully Distributed Demand Response Architecture Based on Overlay Networks

2017

In this paper, we present Overgrid, a fully distributed peer-to-peer (P2P) architecture designed to automatically control and implement distributed demand response (DR) schemes in a community of smart buildings with energy generation and storage capabilities. As overlay networks in communications establish logical links between peers regardless of the physical topology of the network, the Overgrid is able to apply some power balance criteria to its system of buildings, as they belong to a virtual microgrid, regardless of their physical location. We exploit an innovative distributed algorithm, called flow updating, for monitoring the power consumption of the buildings and the number of nodes…

EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleSettore ING-INF/03 - Telecomunicazionibusiness.industry020209 energyDistributed computingOverlay network02 engineering and technologyEnergy consumptionNetwork topologySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDemand responseControl and Systems EngineeringDistributed algorithm0202 electrical engineering electronic engineering information engineeringMicrogridElectrical and Electronic EngineeringbusinessReference modelBuilding automationComputer networkIEEE Transactions on Automation Science and Engineering
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Nonlinear control of an activated sludge aeration process: use of fuzzy techniques for tuning PID controllers

1999

In this paper, several tuning algorithms, specifically ITAE, IMC and Cohen and Coon, were applied in order to tune an activated sludge aeration PID controller. Performance results of these controllers were compared by simulation with those obtained by using a nonlinear fuzzy PID controller. In order to design this controller, a trial and error procedure was used to determine, as a function of error at current time and at a previous time, sets of parameters (including controller gain, integral time and derivative time) which achieve satisfactory response of a PID controller actuating over the aeration process. Once these sets of data were obtained, neural networks were used to obtain fuzzy m…

EngineeringSewageArtificial neural networkbusiness.industryApplied MathematicsOpen-loop controllerPID controllerControl engineeringNonlinear controlFuzzy logicComputer Science ApplicationsKineticsNonlinear systemOxygen ConsumptionFuzzy LogicNonlinear DynamicsControl and Systems EngineeringControl theoryProcess controlComputer SimulationBiomassElectrical and Electronic EngineeringbusinessInstrumentationAlgorithmsISA Transactions
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Influence of material properties variability on springback and thinning in sheet stamping processes: a stochastic analysis

2010

A very critical issue for stamping operations is the improvement of process robustness. The reliability of final results, in fact, strongly depends on the intrinsic variability due to stochastic behavior of many parameters, namely, operative ones and material properties. A given process performance may undergo a variation around the value which would be obtained neglecting stochastic behaviors of the operative or material parameters (i.e., considering a deterministic parameters behavior). Such variation introduces a significant source of uncertainty within the process design: a possible consequence may be the rejection of some stamped parts. In this paper, reliability analyses aimed to evid…

EngineeringSpringbackbusiness.industryStochastic processMechanical EngineeringSheet stampingAutomotive industryProcess designStructural engineeringStampingStochastic material variabilityIndustrial and Manufacturing EngineeringFinite element methodComputer Science ApplicationsControl and Systems EngineeringRobustness (computer science)Process optimizationMaterial propertiesbusinessThinningSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSoftware
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Piezoelectric Rainfall Energy Harvester Performance by an Advanced Arduino-Based Measuring System

2018

This paper presents the performances of rainfall energy harvesting through the use of a piezoelectric transducer and an Arduino-based measuring system. Different studies agree on the possibility of generating electricity from rainfall, but to date, a study on measuring the quantity of energy produced during rainfall is still missing. The present study begins with results obtained from laboratory researchers using piezoelectric transducers and oscilloscopes, finalized to measure the energy produced from a single raindrop, and concludes with an ad hoc Arduino-based measuring system, aimed to measure the actual amount of electrical energy produced by a piezoelectric transducer that is exposed …

EngineeringStreRain02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPiezoelectric materialSettore ING-INF/01 - Elettronica01 natural sciencesIndustrial and Manufacturing EngineeringAutomotive engineeringEnergy measurementpiezoelectric sensorArduino0103 physical sciencesEnergy harvesting; Energy measurement; Piezoelectric materials; piezoelectric sensor; Piezoelectric transducers; Rain; Stress; Control and Systems Engineering; Industrial and Manufacturing Engineering; Electrical and Electronic EngineeringElectrical and Electronic EngineeringOscilloscope010302 applied physicsEnergy harvestingbusiness.industryElectric potential energyElectrical engineeringPiezoelectric transducer021001 nanoscience & nanotechnologyPiezoelectricitySettore ING-IND/31 - ElettrotecnicaElectricity generationTransducerControl and Systems Engineering0210 nano-technologybusinessEnergy harvestingEnergy (signal processing)IEEE Transactions on Industry Applications
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Fuzzy Adaptive EKF Motion Control for Nonholonomic and Underactuated Cars with Parametric and non Parametric Uncertainties

2007

A new fuzzy adaptive motion control system including on-line extended Kalman''s filter (EKF) for wheeled underactuated cars with non-holonomic constraints on the motion is presented. The presence of parametric uncertainties in the kinematics and in the dynamics is treated using suitable differential adaptation laws. We merge adaptive control with fuzzy inference system. By using fuzzy system, the parameters of the kinematical controller are functions of the lateral, longitudinal and orientation errors of the motion. In this way we have a robust control system where the dynamics of the motion errors is with lower time response than the adaptive control without fuzzy. Also Lyapunov''s stabili…

EngineeringTRACKING CONTROLControl and OptimizationAdaptive controlbusiness.industryKalman filterFuzzy control systemMotion controlFuzzy logicMOBILE ROBOTSComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringControl theoryElectrical and Electronic EngineeringRobust controlbusinessParametric statistics
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Two-stage procedure based on smoothed ensembles of neural networks applied to weed detection in orange groves

2014

The potential impacts of herbicide utilization compel producers to use new methods of weed control. The problem of how to reduce the amount of herbicide and yet maintain crop production has stimulated many researchers to study selective herbicide application. The key of selective herbicide application is how to discriminate the weed areas efficiently. We introduce a procedure for weed detection in orange groves which consists of two different stages. In the first stage, the main features in an image of the grove are determined (Trees, Trunks, Soil and Sky). In the second, the weeds are detected only in those areas which were determined as Soil in the first stage. Due to the characteristics …

EngineeringTerrain classificationArtificial neural networkbusiness.industrySoil ScienceForestryPattern recognitionOrange (colour)Weed detectionWeed controlControl and Systems EngineeringCrop productionTerrain classificationAgricultural roboticsArtificial intelligencebusinessWeedAgricultural sensingAgronomy and Crop ScienceFood ScienceBiosystems Engineering
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A New Generalized Robust Predictive Current Control for Grid-Connected Inverters Compensates Anti-Aliasing Filters Delay

2016

In this paper, a new predictive control for grid-connected inverters is presented, which provides the best performance in terms of transient response and stability margins when analog filters in current sensing circuits are used. These filters are necessary to avoid aliasing in the A/D conversion process, which causes an important ripple on injected current into the grid and increases the total harmonic distortion. However, predictive controls are very sensitive to delays on the acquisitions, so when such anti-aliasing filters are used a reduction of stability margins is produced and the transient response is affected. The proposed predictive control allows to compensate the effect of the f…

EngineeringTotal harmonic distortionbusiness.industry020209 energy020208 electrical & electronic engineeringRipple02 engineering and technologyFilter (signal processing)Anti-aliasingAnalogue filterModel predictive controlControl and Systems EngineeringAliasingControl theory0202 electrical engineering electronic engineering information engineeringElectronic engineeringTransient responseElectrical and Electronic EngineeringbusinessIEEE Transactions on Industrial Electronics
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Method for designing PI-type fuzzy controllers for induction motor drives

2001

The paper illustrates a new systematic method for designing PI-type fuzzy controllers for direct field-oriented controlled induction motor drives. First, linear and decoupled models expressing the dynamics of speed, rotor flux, direct and inquadrature stator currents are derived using a nonlinear static compensator and choosing convenient input variables. Then, to guide the dynamics of the above quantities, four conventional PI controllers are designed independently, choosing their bandwidths conveniently. Finally, the input and output scale factors of PI-type fuzzy controllers are derived from the conventional PI controller parameters. The whole drive controller also includes a rotor flux …

EngineeringVector controlbusiness.industrySquirrel-cage rotorPID controllerControl engineeringFuzzy control systemWound rotor motorlaw.inventionObservers induction motor drives fuzzy control vector control control system synthesisSettore ING-INF/04 - AutomaticaDirect torque controlControl and Systems EngineeringControl theorylawElectrical and Electronic EngineeringbusinessInstrumentationInduction motorIEE Proceedings - Control Theory and Applications
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