Search results for "control design"

showing 8 items of 8 documents

A Comparison Study of a Novel Self-Contained Electro-Hydraulic Cylinder versus a Conventional Valve-Controlled Actuator—Part 1: Motion Control

2019

This research paper presents the first part of a comparative analysis of a novel self-contained electro-hydraulic cylinder with passive load-holding capability against a state of the art, valve-controlled actuation system that is typically used in load-carrying applications. The study is carried out on a single-boom crane with focus on the control design and motion performance analysis. First, a model-based design approach is carried out to derive the control parameters for both actuation systems using experimentally validated models. The linear analysis shows that the new drive system has higher gain margin, allowing a considerably more aggressive closed-loop position controller. Several b…

0209 industrial biotechnologyControl and OptimizationSettling timeComputer sciencepassive load-holding020209 energy02 engineering and technologyactive damping020901 industrial engineering & automationlinear actuatorsmodeling and simulationControl theoryPosition (vector)load-carrying applications0202 electrical engineering electronic engineering information engineeringOvershoot (signal)feedback control systemsLinear actuatorMotion controlControl and Systems EngineeringRise timeproportional directional control valvesActuatorself-contained cylinderselectro-hydraulic systemslinear control designActuators
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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A Self-Contained Electro-Hydraulic Cylinder: Modeling, Control Design, Simulation and Experimental Validation

2018

Master's thesis Mechatronics MAS500 - University of Agder 2018 In the constant effort to improve the efficiency of hydraulic systems, the pressure drop over hydraulic valves has been one of the major obstacles. In the Self-Contained Electro-Hydraulic Cylinder, the directional valve and the hydraulic power unit have been replaced by a bi-directional axial piston pump and a Permanent Magnet Synchronous Motor. Actuation of the cylinder is performed by controlling the direction of rotation and the velocity of the motor. Originally the purpose of this project was to: "Design a proper control algorithm for an existing novel selfcontained electro-hydraulic cylinder, implement it on the main boom o…

Axial Piston PumpVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Teknisk kybernetikk: 553Control DesignFluid PowerVDP::Teknologi: 500::Maskinfag: 570MAS500Asymmetric ActuatorPermanent Magnet Synchronous MachineExperimentsElectric DrivesModellingSelf-Contained Electro Hydraulic CylinderPassive Load Holding
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H∞ fuzzy control of DC-DC converters with input constraint

2012

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2012/973082 Open access This paper proposes a method for designing H∞ fuzzy control of DC-DC converters under actuator saturation. Because linear control design methods do not take into account the nonlinearity of the system, a T-S fuzzy model and a controller design approach is used. The designed control not only handles the external disturbance but also the saturation of duty cycle. The input constraint is first transformed into a symmetric saturation which is represented by a polytopic model. Stabilization conditions for the H∞ state feedba…

EngineeringArticle Subjectinput constraintsstate feedback systemGeneral Mathematicssimulation examplePlantControl theoryactuator saturationspolytopic modelsexternal disturbancesbusiness.industrylcsh:MathematicsGeneral EngineeringFuzzy control systemConvertersLyapunov approachlcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410Constraint (information theory)Nonlinear systemDuty cyclelcsh:TA1-2040T-S fuzzy modelscontroller designsState (computer science)businessSaturation (chemistry)lcsh:Engineering (General). Civil engineering (General)linear control design
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Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

2021

Causal effect identification considers whether an interventional probability distribution can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system. While complete graphical criteria and procedures exist for many identification problems, there are still challenging but important extensions that have not been considered in the literature. To tackle these new settings, we present a search algorithm directly over the rules of do-calculus. Due to generality of do-calculus, the search is capable of taking more advanced data-generating mechanisms into account along with an arbitrary type of both observational and…

FOS: Computer and information sciencesStatistics and ProbabilityComputer Science - Machine LearningcausalityComputer Science - Artificial IntelligenceHeuristic (computer science)Computer scienceeducationMachine Learning (stat.ML)transportabilitycomputer.software_genre01 natural sciencesMachine Learning (cs.LG)R-kielimissing dataQA76.75-76.765; QA273-280010104 statistics & probabilitydo-calculuscausality; do-calculus; selection bias; transportability; missing data; case-control design; meta-analysisStatistics - Machine LearningSearch algorithmselection bias0101 mathematicsParametric statisticspäättelymeta-analyysicase-control designhakualgoritmit113 Computer and information sciencesMissing datameta-analysisIdentification (information)Artificial Intelligence (cs.AI)Causal inferencekausaliteettiIdentifiabilityProbability distributionData miningStatistics Probability and UncertaintycomputerSoftwareJournal of Statistical Software
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Optimal control of the inversion of two spins in Nuclear Magnetic Resonance

2012

International audience; We investigate the optimal control of the inversion of two spin 1/2 particles in Nuclear Magnetic Resonance. The two spins, which differ by their resonance offset, are controlled by the same radio frequency magnetic field. Using the Pontryagin Maximum Principle, we compute the optimal control sequence which allows to reach the target state in a given time, while minimizing the energy of the magnetic field. A comparison with the time-optimal solution for bounded control amplitude realizing the same control in the same time is made. An experimental illustration is done using techniques of Nuclear Magnetic Resonance.

Larmor precessionPhysics010304 chemical physicsSpinsPulsed EPRGeneral Physics and AstronomyBROAD-BAND EXCITATIONOptimal control01 natural sciencesNMRMagnetic fieldPULSESFree induction decayNuclear magnetic resonance2-LEVEL QUANTUM-SYSTEMSBloch equationsOPTIMAL-CONTROL DESIGN0103 physical sciencesRadio frequencyPhysical and Theoretical Chemistry010306 general physicsPOPULATION
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Design and Development of a Multi-Mode, Two-Wheeled, Self-Balancing Service Platform

2019

Master's thesis Mechatronics MAS500 - University of Agder 2019 This thesis covers the design and development of a multi-mode, two-wheeled, self-balancing serviceplatform. The purpose of such a platform is to assist people with transportation tasks in crowdedspaces like airports by consuming as little space as possible and minimizing its overall footprint.This is solved by constructing a robot that can transition between bicycle and differential driveconfigurations and keep its balance in both configurations as well as in the transition processbetween them. A two-wheeled, self-balancing robot is an inherently unstable system that can bebased on the theory of an inverted pendulum. The unstabl…

MATLABVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Teknisk kybernetikk: 553SOLIDWORKSKinematicsState-spaceSimulinkMachine designLabVIEWMAS500Full State-feedbackControl designSimulationStabilization
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Optimal control design of preparation pulses for contrast optimization in MRI

2017

Abstract This work investigates the use of MRI radio-frequency (RF) pulses designed within the framework of optimal control theory for image contrast optimization. The magnetization evolution is modeled with Bloch equations, which defines a dynamic system that can be controlled via the application of the Pontryagin Maximum Principle (PMP). This framework allows the computation of optimal RF pulses that bring the magnetization to a given state to obtain the desired contrast after acquisition. Creating contrast through the optimal manipulation of Bloch equations is a new way of handling contrast in MRI, which can explore the theoretical limits of the system. Simulation experiments carried out…

Nuclear and High Energy PhysicsComputer science[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingComputationRF pulsesBiophysics010402 general chemistry01 natural sciencesBiochemistry030218 nuclear medicine & medical imaging03 medical and health sciencesMagnetizationMice0302 clinical medicineOpticsRobustness (computer science)Image Interpretation Computer-AssistedImage Processing Computer-AssistedAnimalsComputer SimulationGray MatterMuscle Skeletal[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imagingbusiness.industryPhantoms ImagingContrast (statistics)BrainReproducibility of ResultsContrastCondensed Matter PhysicsOptimal controlImage EnhancementBloch equationsMagnetic Resonance ImagingWhite Matter0104 chemical sciencesWeightingRatsOptimal control[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismOptimal control designBloch equations[ SPI.ELEC ] Engineering Sciences [physics]/ElectromagnetismFemalebusinessAlgorithmAlgorithms
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