Search results for "PID controller"

showing 10 items of 55 documents

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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Particle identification in ALICE: a Bayesian approach

2016

We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss ($\mathrm{d}E/\mathrm{d}x$) and time-of-flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high-purity samples of identified particles in the decay channels ${\rm K}^0_S \righta…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Monte Carlo methodGeneral Physics and AstronomyPID controllerPP01 natural sciencesParticle identificationHigh Energy Physics - ExperimentParticle identificationHigh Energy Physics - Experiment (hep-ex)ALICEHadron-Hadron scattering (experiments)Heavy-ion collisionNuclear and High Energy Physics Hadron-Hadron scattering (experiments) Heavy Ion Experiments Heavy-ion collision Quark gluon plasma Particle identification Bayesianscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Detectors and Experimental TechniquesNuclear ExperimentNuclear ExperimentPhysicsefficiency [particle identification]PB COLLISIONSVDP::Kjerne- og elementærpartikkelfysikk: 431Monte Carlo [numerical calculations]PB COLLISIONS PP PERFORMANCE.:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.Time of flight:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431performancemomentum spectrum [charged particle]Nuclear and High Energy PhysicsParticle physicsMesoneducationBayesian probabilityFOS: Physical sciencesQuark gluon plasma[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesBayesianNuclear physicsPhysics and Astronomy (all)PionHeavy Ion Experiments0103 physical sciencesddc:530010306 general physics010308 nuclear & particles physicsBayesian approach:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]ALICE experimentPERFORMANCEparticle identification ; Bayesian approachNATURAL SCIENCES. Physics.PB COLLISIONS; TEV; PP; PERFORMANCEPhysics - Data Analysis Statistics and ProbabilityQuark–gluon plasmaBayesian [statistics]TEVHigh Energy Physics::Experimentparticle identificationData Analysis Statistics and Probability (physics.data-an)
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Improved Performance of a PV Solar Panel with Adaptive Neuro Fuzzy Inference System ANFIS based MPPT

2018

This article presents the development of an intelligent technique of Adaptive-Neuro-Fuzzy Inference System (ANFIS) based on Maximum Power Point Tracking (ANFIS-MPPT) algorithm with PI controller in order to increase the performances of the photovoltaic panel system below change atmospheric circumstances. In this work, the mathematical principles of the ANFIS method were presented and developed using the software Matlab/Simulink. Moreover, the effectiveness of this ANFIS-MPPT technique is demonstrated by a comparison of the obtained results with others obtained from a classical (Perturb & Observe) P & O-MPPT method.From the analysis of the obtained results, the ANFIS-MPPT command provide bet…

Adaptive neuro fuzzy inference systemComputer sciencebusiness.industry020209 energyPhotovoltaic systemPID controller02 engineering and technologyMaximum power point trackingSoftwareControl theoryConvergence (routing)0202 electrical engineering electronic engineering information engineeringPoint (geometry)businessMATLABcomputercomputer.programming_language2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
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Computational Analysis of the Active Control of Incompressible Airfoil Flutter Vibration Using a Piezoelectric V-Stack Actuator

2021

The flutter phenomenon is a potentially destructive aeroelastic vibration studied for the design of aircraft structures as it limits the flight envelope of the aircraft. The aim of this work is to propose a heuristic design of a piezoelectric actuator-based controller for flutter vibration suppression in order to extend the allowable speed range of the structure. Based on the numerical model of a three degrees of freedom (3DOF) airfoil and taking into account the FEM model of a V-stack piezoelectric actuator, a filtered PID controller is tuned using the population decline swarm optimizer PDSO algorithm, and gain scheduling (GS) of the controller parameters is used to make the control adapti…

Airfoil020301 aerospace & aeronautics0209 industrial biotechnologyactive flutter suppressionV-stack actuatorComputer sciencePID controller02 engineering and technologylcsh:QC1-999Vibrationpopulation decline swarmoptimizer020901 industrial engineering & automationGain scheduling0203 mechanical engineeringFlight envelopeControl theoryFluttergain schedulingpopulation decline swarm optimizerSettore ING-IND/04 - Costruzioni E Strutture AerospazialiActuatorlcsh:PhysicsVibration
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Active Single-Blade Installation Using Tugger Line Tension Control and Optimal Control Allocation

2020

Blade (geometry)Computer scienceControl theoryMechanical EngineeringTension controlPID controllerOcean EngineeringLine (text file)Optimal controlCivil and Structural EngineeringInternational Journal of Offshore and Polar Engineering
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Application of Model Predictive Control in Discrete Displacement Cylinders to Drive a Knuckle Boom Crane

2018

In this paper, two Discrete Displacement Cylinders (DDCs) are used to drive the boom of a knuckle boom crane. DDCs operate by connecting one of several available pressure levels to each chamber in order to produce different forces. A trade-off exists with such systems, between the accuracy of tracking and energy dissipation due to switching. A popular way to approach this problem is a Force Shifting Algorithm (FSA). However, in this paper, the trade-off is managed by use of a Model Predictive Control (MPC) algorithm. The tracking accuracy and energy efficiency of the MPC and FSA strategies for DDCs are compared to a PID strategy for standard cylinders. The comparison is obtained by use of a…

Computer sciencePID controllerDissipationKnuckle Boom CraneBoomDisplacement (vector)Model predictive controlKnucklemedicine.anatomical_structureControl theoryDiscrete Displacement CylindersmedicineModel predictive controlEnergy (signal processing)Efficient energy use
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Model of a CNC Feed Drive for On-Site Tuning of the Controllers for Single Axis Motion

2016

The accuracy of CNC machine-tools is heavily influenced by the correct tuning of the feed drives controllers. While an initial tuning is performed by the machine-tool manufactures, in time the values have to be changed by the user in order to preserve positioning and contouring accuracy of the machine. This paper presents a model of a CNC feed drive, for a particular CNC machine-tool, but with a high degree of generality. The objective is to provide the user the necessary knowledge, together with a simple, yet accurate simulation tool, in order to assist him in the process of tuning the controllers.

ContouringEngineeringbusiness.industryControl theorySingle axisFeed driveProcess (computing)PID controllerControl engineeringGeneral MedicineMotion controlbusinessMotion (physics)Applied Mechanics and Materials
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Guaranteed tuning of PID controllers for parametric uncertain systems

2004

This paper presents a methodology for tuning the controller of a parametric uncertain plant in order to guarantee the satisfaction of specifications. These specifications are defined by means of an interval reference model that represents the set of satisfactory time or frequency behaviors. The controller synthesis is then formulated as a set-inclusion problem in the frequency domain. Interval techniques for the solution of constraint satisfaction problems are applied to design fixed-structure controllers in a guaranteed manner. In particular, PID controllers are considered since they are widely used in industry.

Control theoryFrequency domainPID controllerControl engineeringInterval (mathematics)Set theoryReference modelConstraint satisfaction problemParametric statisticsMathematics2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)
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Model predictive control for continuous lactide ring‐opening polymerization processes

2020

International audience; Polylactic acid (PLA) is an attractive environment-friendly thermoplastic that is bio-sourced and biodegradable. PLA is industrially produced by the ring-opening polymerization of Lactide. This reaction is sensitive to drifts in the operating conditions and impurities in the raw materials that may affect the reaction rate as well as the polymer properties, which can be very costly in continuous processes. It is therefore crucial to employ a control strategy that allows recovering the nominal conditions and maintaining the desired properties and conversion level in case of drift. Three control strategies are discussed in this paper: Proportional-Integral controller (P…

Coupling0209 industrial biotechnologyMaterials scienceLoop reactoroptimisationProcess (computing)PIPID controller02 engineering and technology7. Clean energyPolylactic acidNonlinear systemModel predictive control020901 industrial engineering & automationPolynomial and rational function modelingControl and Systems EngineeringControl theoryCascade0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringModel predictive control
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Performance Degradation of Discrete PID Controller for Digital Excitation Control System Due to Variation of Sampling Time

2019

Modern digital AVR are consisting PID controller in forward path ensures fast response in the event of disturbance. Digital keypad is used for setting PID gains to improve performance of the system. Digital PID controller reads the error signal at regular interval unlike analog controller that reads the error signal continuously. Regular interval at which digital processor reads error signal is called sampling time that has substantial effect on the performance of the controller and consequently affects the stability of the power system where synchronous generator using digital excitation system is connected in parallel. This paper addresses the issues of variation of sampling time on the p…

Electric power systemControl theoryComputer scienceControl systemHardware-in-the-loop simulationKeypadPID controllerPermanent magnet synchronous generatorInterval (mathematics)
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