Search results for " DOM"

showing 10 items of 2750 documents

Minimal-model for robust control design of large-scale hydraulic machines

2018

Hydraulic machines are in use where the large forces, at relatively low velocities, are required by varying loads and often hazardous and hard-to-reach environments, like e.g. offshore, mining, forestry, cargo logistics, and others industries. Cranes and excavators equipped with multiple hydraulic cylinders are typical examples for that. For design of the robust feedback controls of hydraulic cylinders, already installed into large-scale machines, there is a general lack of reliable dynamic models. Also the suitable and feasible identification techniques, especially in frequency domain, yield limited. This paper pro­poses a minimal-modeling approach for determining the most relevant open-lo…

0209 industrial biotechnologyComputer scienceComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologySystem dynamicsLoaderHydraulic cylinderExcavator020901 industrial engineering & automation020401 chemical engineeringControl theoryControl systemFrequency domain0204 chemical engineeringHydraulic machineryRobust control2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
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Fractional-Order System Identification of Viscoelastic Behavior: A Frequency Domain Based Experimental Study

2020

In this work, the fractional-order modeling of viscoelastic behavior is investigated based on measurement data in the frequency domain. For the results of two different test setups we apply existing parameter estimation algorithms designed for fractional-order transfer functions. These algorithms require a priori knowledge of the system structure including the commensurate order of differentiation. An iterative procedure is used to evaluate the influence of the unknown structure. The measured polymer samples show a viscoelastic stress response. We can show that integer-order models are not capable of capturing this behavior. For a set of predefined structures, the best obtained fractional-o…

0209 industrial biotechnologyComputer scienceFractional-order system02 engineering and technologyVariation of parametersTransfer functionViscoelasticitySet (abstract data type)Identification (information)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainA priori and a posterioriAlgorithm2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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A Fractional-Order Control Approach to Ramp Tracking with Memory-Efficient Implementation

2020

We investigate the fractional-order (FO) control of arbitrary order LTI systems. We show that, for ramp tracking or input disturbance rejection, it is advantageous to include an FO integrator to the open-loop if we have to increase the order of integration further than one. With the lower phase-loss of the FO integrator it is easier to guarantee a desired phase margin. Furthermore the flat phase response around the crossover-frequency (iso-damping property) can be achieved for a wider frequency range such that the closed-loop is more robust wrt. amplitude and phase margins. The drawback of the FO approach is the increased implementation effort and the algebraic decay, which slows down the t…

0209 industrial biotechnologyDiscretizationComputer science05 social sciencesPhase margin02 engineering and technologyFilter (signal processing)050601 international relations0506 political science020901 industrial engineering & automationControl theoryIntegratorFrequency domainPhase responseFractional-order controlTransient response2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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Frequency-domain experimental setup for mechatronic and suspension system components

2021

This paper presents a frequency-domain experimental setup for modal analysis of mechatronic and suspension system components. Design, instrumentation and dynamic behavior of the one degree-of-freedom (DOF) system, capable of providing both, periodic and application-specific, excitation forces is described. The excitation is realized by an electromagnetic modal shaker with additional assembly and interface components designed and instrumented for frequency -domain analysis of vertical dynamics. Frequency response functions (FRFs) of the implemented system are experimentally measured and the associated basic model parameters are calculated, correspondingly identified. Accurate fit between the…

0209 industrial biotechnologyFrequency responseComputer scienceModal analysisAcousticsAutomatic frequency control02 engineering and technologyVehicle dynamicsMechanical system020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainDomain analysisShaker
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A comparative assessment of energy demand and life cycle costs for additive- and subtractive-based manufacturing approaches

2020

Abstract The applicability domain of Additive Manufacturing (AM) processes, apart from technological and quality results, relies on environmental and cost performance. These aspects still need to be better understood. To this aim, comparative analyses with conventional manufacturing routes are needed. In this paper, empirical cost and energy requirement models are suggested to assess subtractive- (machining) and additive- (Electron Beam Melting) based manufacturing approaches for the production of Ti-6Al-4V components. A life-cycle perspective is adopted, and all the steps from the input material production to the post-AM processing operations and the use phase are included. The analyses ha…

0209 industrial biotechnologyMaterials scienceAdditive manufacturingCostStrategy and Managementmedia_common.quotation_subjectSustainable manufacturing02 engineering and technologyManagement Science and Operations ResearchRaw materialIndustrial and Manufacturing EngineeringAdditive manufacturing; Cost; Decision support chart; Energy demand; Machining; Sustainable manufacturing020901 industrial engineering & automationMachiningDecision support chartComponent (UML)Production (economics)Quality (business)Process engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionemedia_commonEnergy demandSubtractive colorEnergy demandbusiness.industry021001 nanoscience & nanotechnologyMachining0210 nano-technologybusinessApplicability domain
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Multi-band identification for enhancing bearing fault detection in variable speed conditions

2020

Abstract Rolling element bearings are crucial components in rotating machinery, and avoiding unexpected breakdowns using fault detection methods is an increased demand in industry today. Variable speed conditions render a challenge for vibration-based fault diagnosis due to the non-stationary impact frequency. Computed order tracking transforms the vibration signal from time domain to the shaft-angle domain, allowing order analysis with the envelope spectrum. To enhance fault detection, the bearing resonance frequency region is isolated in the raw signal prior to order tracking. Identification of this region is not trivial but may be estimated using kurtosis-based methods reported in the li…

0209 industrial biotechnologyNoise (signal processing)Computer scienceMechanical EngineeringAerospace EngineeringCondition monitoring02 engineering and technologyFault (power engineering)01 natural sciencesNoise floorFault detection and isolationComputer Science Applications020901 industrial engineering & automationControl and Systems Engineering0103 physical sciencesSignal ProcessingCepstrumTime domain010301 acousticsOrder trackingAlgorithmCivil and Structural EngineeringMechanical Systems and Signal Processing
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Buckling and post-buckling analysis of cracked stiffened panels via an X-Ritz method

2019

Abstract A multi-domain eXtended Ritz formulation, called X-Ritz, for the analysis of buckling and post-buckling of stiffened panels with cracks is presented. The theoretical framework is based on the First-order Shear Deformation Theory and accounts for von Karman's geometric nonlinearities. The structure is modeled as assembly of plate elements. Penalty techniques are used to fulfill the continuity condition along the edges of contiguous elements and to satisfy essential boundary conditions requirements. The use of an extended set of approximating functions allows to model through-the-thickness cracks and to capture the crack opening and tip singular fields as well as the structural behav…

0209 industrial biotechnologyPost-bucklingShear deformation theoryStructure (category theory)Aerospace Engineering02 engineering and technology01 natural sciences010305 fluids & plasmasRitz methodSet (abstract data type)020901 industrial engineering & automation0103 physical sciencesStiffened panelBoundary value problemSingle domainSettore ING-IND/04 - Costruzioni E Strutture AerospazialiMathematicsCrackbusiness.industryBucklingThin-walled structureX-Ritz methodStructural engineeringFinite element methodBucklingbusiness
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Design of a robust controller for DC/DC converter–electrolyzer systems supplied by μWECSs subject to highly fluctuating wind speed

2020

Abstract A buck-based, isolated, high-voltage-ratio DC/DC converter that allows supplying a proton exchange membrane (PEM) electrolyzer from a micro-wind energy conversion system ( μ WECS) has been recently presented. It exhibits low ripple at the switching frequency on the output voltage and current and represents an attractive solution for low-cost hydrogen production. In this paper, a more accurate mathematical model of such a converter is derived and discussed. Then, a model-based robust controller is designed in the frequency domain using the Internal Model Control structure and in the context of H 2 ∕ H ∞ optimal control. The controller satisfies the condition of robust stability and …

0209 industrial biotechnologyRippleRobust controlInternal modelFull-bridge converter02 engineering and technology7. Clean energy[SPI.AUTO]Engineering Sciences [physics]/Automatic020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaElectrolyzerControl theoryRobustness (computer science)Model-based control techniques0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSParametric statisticsPhysicsBuck converterApplied Mathematics[SPI.NRJ]Engineering Sciences [physics]/Electric power020208 electrical & electronic engineeringOptimal controlComputer Science ApplicationsInductanceControl and Systems EngineeringFrequency domainStand-alone wind generatorVoltageControl Engineering Practice
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Interoperable real-time symbolic programming for smart environments

2019

Smart environments demand novel paradigms offering easy configuration, programming and deployment of pervasive applications. To this purpose, different solutions have been proposed ranging from visual paradigms based on mashups to formal languages. However, most of the paradigms proposed in the literature require further external tools to turn application description code into an executable program before the deployment on target devices. Source code generation, runtime upgrades and recovery, and online debugging and inspection are often cumbersome in these programming environments. In this work we describe a methodology for real-time and on-line programming in smart environments that is co…

0209 industrial biotechnologySource codeComputer sciencemedia_common.quotation_subjectDistributed computingExecutable code exchangeForth02 engineering and technologyKnowledge base020901 industrial engineering & automationApplication domain020204 information systems0202 electrical engineering electronic engineering information engineeringSymbolic processingMQTTmedia_commonMQTTSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSymbolic programmingcomputer.file_formatResource-constrained deviceDebuggingSmart environmentExecutableMessage queuecomputer
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Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

2020

Reinforcement learning is one of the most promising machine learning techniques to get intelligent behaviors for embodied agents in simulations. The output of the classic Temporal Difference family of Reinforcement Learning algorithms adopts the form of a value function expressed as a numeric table or a function approximator. The learned behavior is then derived using a greedy policy with respect to this value function. Nevertheless, sometimes the learned policy does not meet expectations, and the task of authoring is difficult and unsafe because the modification of one value or parameter in the learned value function has unpredictable consequences in the space of the policies it represents…

0209 industrial biotechnologyreinforcement learningComputer scienceGeneral Mathematics02 engineering and technologypedestrian simulationTask (project management)learning by demonstration020901 industrial engineering & automationAprenentatgeInformàticaBellman equation0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Reinforcement learningEngineering (miscellaneous)business.industrycausal entropylcsh:MathematicsProcess (computing)020206 networking & telecommunicationsFunction (mathematics)inverse reinforcement learninglcsh:QA1-939Problem domainTable (database)Artificial intelligenceTemporal difference learningbusinessoptimizationMathematics
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