Search results for "ck"

showing 10 items of 18632 documents

Robust control for high performance induction motor drives based on partial state-feedback linearization

2019

This paper deals with a robust input-output feedback linearization control technique for induction motors. Indeed, classic feedback linearization presents two main disadvantages: 1) the accuracy of the dynamic model; and 2) the corresponding correct knowledge of the model parameters. To address this issue, the linear controller has been substituted with a suitably controller designed to be robust to the variations of the main parameters of the induction motor, like stator and rotor resistances, and the three-phase magnetizing inductance. The proposed controller has been tested both in numerical simulation and experimentally on a suitably designed test setup. Moreover, it has been compared w…

0209 industrial biotechnologyEngineeringComputer scienceStator020209 energy02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theorylawLinearizationRobustness (computer science)0202 electrical engineering electronic engineering information engineeringTorqueFeedback linearizationElectrical and Electronic EngineeringInduction motorfeedback linearizationComputer simulationbusiness.industry020208 electrical & electronic engineeringControl engineeringPartial state feedbackMagnetic coreControl and Systems Engineeringrobust control.Feedback linearization (FL)Robust controlbusinessInduction motorrobust control
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Input-Output Feedback Linearization Control with On-line MRAS Based Inductor Resistance Estimation of Linear Induction Motors Including the Dynamic E…

2016

This paper proposes the theoretical framework and the consequent application of the input–output feedback linearization (FL) control technique to linear induction motors (LIMs). LIM, additionally to rotating induction motor, presents other strong nonlinearities caused by the dynamic end effects, leading to a space-vector dynamic model with time-varying inductance and resistance terms and a braking force term. This paper, starting from a recently developed dynamic model of the LIM taking into consideration its end effects, defines a FL technique suited for LIMs, since it inherently considers its dynamic end effects. Additionally, it proposes a technique for the on-line estimation of the indu…

0209 industrial biotechnologyEngineeringLinear induction motor feedback linearization end-effects MRAS estimator.02 engineering and technologyInductorEnd effectsIndustrial and Manufacturing Engineering020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringlinear induction motor (LIM)Feedback linearizationElectrical and Electronic Engineeringmodel reference adaptive system (MRAS) estimatorbusiness.industry020208 electrical & electronic engineeringControl engineeringInductanceControl and Systems EngineeringLinear induction motorfeedback linearization (FL)HyperstabilitybusinessMRASInduction motor
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A Pareto optimal design approach for simultaneous control of thinning and springback in stamping processes

2009

One of the most relevant research issues in automotive field is focused on the reduction of stamped parts weight also increasing their strength. In this way, a strong research effort is developed on high strength steels which are widely utilized and they require a proper springback control. Springback reduction in sheet metal forming is a typical goal to be pursued which is conflicting with thinning reduction for instance. Thus, such problems can be considered as multi-objective ones characterized by conflicting objectives. What is more, nowadays, a great interest would be focused on the availability of a cluster of possible optimal solutions instead of a single one, particularly in an indu…

0209 industrial biotechnologyEngineeringMathematical optimizationsheet metal stampingAutomotive industryComputational intelligence02 engineering and technologyresponse surface methodBlankMulti-objective optimization[SPI.MAT]Engineering Sciences [physics]/Materialsspringback020901 industrial engineering & automationGeneral Materials ScienceResponse surface methodologySettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionebusiness.industrythinningStructural engineering[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]Stamping021001 nanoscience & nanotechnologymulti-objective optimizationvisual_artvisual_art.visual_art_medium0210 nano-technologybusinessSheet metalReduction (mathematics)International Journal of Material Forming
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A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policies

2017

Even if more reliable than the past, the performance of modern manufacturing systems is still affected by machine’s deteriorations and breakdowns. As a consequence, adequate maintenance programs must be implemented to adequately satisfy demands during manufacturing stops due to unexpected failures or preventive maintenance (PM) actions. Despite production and maintenance are closely related issues, their joint optimization has become an important research topic just during the last decade. Therefore, the present paper proposes a model for the combined optimization of production/inventory control and PM policies with the aim of minimizing the total expected cost per unit time. The model is f…

0209 industrial biotechnologyEngineeringService (systems architecture)0211 other engineering and technologies02 engineering and technologyPreventive maintenanceIndustrial and Manufacturing EngineeringContinuous production020901 industrial engineering & automationRobustness (computer science)Settore ING-IND/17 - Impianti Industriali MeccaniciProduction (economics)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMonte Carlo simulationInventory control021103 operations researchbusiness.industryPlanned maintenanceMechanical EngineeringSimulated annealing algorithmJoint optimizationPreventive maintenanceComputer Science ApplicationsReliability engineeringBuffer stockControl and Systems EngineeringSimulated annealingbusinessSoftwareThe International Journal of Advanced Manufacturing Technology
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Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems

2016

This paper examines the problem of tracking control of networked multi-agent systems with multiple delays and impulsive effects, whose results are applied to mechanical robotic systems. Four kinds of impulsive effects are taken into account: 1) both the strengths of impulsive effects and the number of nodes injected with impulses are time dependent; 2) the strengths of impulsive effects occur according to certain probabilities and the number of nodes under impulsive control is time varying; 3) the strengths of impulses are time varying, whereas the number of nodes with impulses takes place according to certain probabilities; 4) both the strengths of impulses and the number of nodes with imp…

0209 industrial biotechnologyEngineeringTracking controlControl (management)02 engineering and technologyTracking (particle physics)robotic systems020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringmulti-agent systemsElectrical and Electronic EngineeringRobot kinematicsbusiness.industryStochastic processMulti-agent systemtime-delaysComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringRobotic systemsLeader-following consensusControl and Systems EngineeringControl systemLeader-following consensus; multi-agent systems; robotic systems; time-delays; Tracking control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering020201 artificial intelligence & image processingbusinessIEEE Transactions on Industrial Electronics
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On stability and robustness of Virtual Torsion Sensor (VTS) for flexible joint robots

2016

The so called ‘Virtual Torsion Sensor’ (VTS) has been introduced in pervious works for flexible joint robots without sensing of the joint output states, i.e. link position and velocity. Since VTS is incorporated into the feedback control loop, so as to improve the links' positioning accuracy, the related stability is crucial for the overall control design and robust operation of VTS. In this paper, we analyze the stability of including VTS into the feedback loop while assuming the predicted joint torsion is gained by the proportional term of the underlying motor position feedback control. We start our consideration by an ideal case of the linear joint stiffness, first assuming the measured …

0209 industrial biotechnologyEngineeringbusiness.industry020208 electrical & electronic engineeringTorsion (mechanics)02 engineering and technologyFeedback loopNonlinear system020901 industrial engineering & automationControl theoryRobustness (computer science)Joint stiffnessBounded function0202 electrical engineering electronic engineering information engineeringmedicineRobotmedicine.symptombusinessCubic functionIECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
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Flow Control of Fluid in Pipelines Using PID Controller

2019

In this paper, a PID controller is utilized in order to control the flow rate of the heavy oil in pipelines by controlling the vibration in a motor pump. A torsional actuator is placed on the motor pump in order to control the vibration on a motor and consequently controlling the flow rates in pipelines. The necessary conditions for the asymptotic stability of the proposed controller are validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PID controller in the control of flow rates in pipelines.

0209 industrial biotechnologyGeneral Computer ScienceComputer sciencePID controllercontrol engineeringfeedback02 engineering and technology01 natural sciencesFeedback010305 fluids & plasmas020901 industrial engineering & automationExponential stabilityControl theoryFluid flow controlPID control0103 physical sciencesGeneral Materials Science/dk/atira/pure/subjectarea/asjc/1700VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Lyapunov stabilityControl engineeringComputingGeneral EngineeringTorsion (mechanics)Volumetric flow ratePipeline transportVibrationFlow control (fluid)lcsh:Electrical engineering. Electronics. Nuclear engineeringActuator/dk/atira/pure/core/subjects/computinglcsh:TK1-9971Computer Science(all)Numerical stabilityIEEE Access
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Reliable diagnostics using wireless sensor networks

2019

International audience; Monitoring activities in industry may require the use of wireless sensor networks, for instance due to difficult access or hostile environment. But it is well known that this type of networks has various limitations like the amount of disposable energy. Indeed, once a sensor node exhausts its resources, it will be dropped from the network, stopping so to forward information about maybe relevant features towards the sink. This will result in broken links and data loss which impacts the diagnostic accuracy at the sink level. It is therefore important to keep the network's monitoring service as long as possible by preserving the energy held by the nodes. As packet trans…

0209 industrial biotechnologyGeneral Computer ScienceComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Network topology[SPI.AUTO]Engineering Sciences [physics]/Automatic[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingPrognostics and health management[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringAdaBoostElectroniquebusiness.industryNetwork packetGeneral Engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networksRandom forest[SPI.TRON]Engineering Sciences [physics]/Electronics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor node020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Gradient boosting[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputers in Industry
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Power losses in power-split CVTs: A fast black-box approximate method

2018

Abstract This paper addresses the mechanical losses of planetary transmissions, with particular attention to power-split CVTs in their hybrid electric versions. It provides unified layout-independent analytical relationships, which can be used for both analysis, design and control purposes, and a simplified approach; the latter overcomes the necessity to segment the operating range of the power-split CVT in order to keep its loss model physically consistent. An example of application to a real hybrid electric PS-CVT is performed to show the simplicity, accuracy and generality of the proposed method.

0209 industrial biotechnologyGeneralityHybrid electric vehicleComputer scienceMechanical EngineeringPower split CVTBioengineeringComputer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyGM voltecSettore ING-IND/13 - Meccanica Applicata Alle MacchineComputer Science ApplicationsPower (physics)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringPower splitMechanics of MaterialsControl theoryBlack boxSimplicity (photography)Range (statistics)Mechanics of MaterialPlanetary gearing losse
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Graph Filtering of Time-Varying Signals over Asymmetric Wireless Sensor Networks

2019

In many applications involving wireless sensor networks (WSNs), the observed data can be modeled as signals defined over graphs. As a consequence, an increasing interest has been witnessed to develop new methods to analyze graph signals, leading to the emergence of the field of Graph Signal Processing. One of the most important processing tools in this field is graph filters, which can be easily implemented distributedly over networks by means of cooperation among the nodes. Most of previous works related to graph filters assume the same connection probability in both link directions when transmitting an information between two neighboring nodes. This assumption is not realistic in practice…

0209 industrial biotechnologyGraph signal processingComputer sciencemedia_common.quotation_subject020206 networking & telecommunications02 engineering and technologyAsymmetryGraphBackground noiseFilter design020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringWireless sensor networkAlgorithmmedia_common2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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