Search results for "PID controller"

showing 10 items of 55 documents

Frequency-modulated atomic force microscopy operation by imaging at the frequency shift minimum: the dip-df mode.

2014

In frequency modulated non-contact atomic force microscopy, the change of the cantilever frequency (Delta f) is used as the input signal for the topography feedback loop. Around the Delta f(z) minimum, however, stable feedback operation is challenging using a standard proportional-integral-derivative (PID) feedback design due to the change of sign in the slope. When operated under liquid conditions, it is furthermore difficult to address the attractive interaction regime due to its often moderate peakedness. Additionally, the Delta f signal level changes severely with time in this environment due to drift of the cantilever frequency f(0) and, thus, requires constant adjustment. Here, we pre…

PhysicsCantileverbusiness.industrySurface PropertiesPID controllerAbsolute valueDerivativeFeedback loopModels TheoreticalMicroscopy Atomic Force530SignalCalcium CarbonateSetpointOpticsbusinessConstant (mathematics)InstrumentationThe Review of scientific instruments
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Pattern recognition and PID for COMPASS RICH-1

2008

A package for pattern recognition and PID by COMPASS RICH-1 has been developed and used for the analysis of COMPASS data collected in the years 2002 to 2004, and 2006-2007 with the upgraded RICH-1 photon detectors. It has allowed the full characterization of the detector in the starting version and in the upgraded one, as well as the PID for physics results. We report about the package structure and algorithms, and the detector characterization and PID results.

PhysicsNuclear and High Energy PhysicsPhotomultiplierPhysics - Instrumentation and Detectorsbusiness.industryPhoton detectorDetectorPID controllerFOS: Physical sciencesPattern recognitionInstrumentation and Detectors (physics.ins-det)Photon yieldParticle identificationHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)CompassPattern recognition (psychology)Artificial intelligenceDetectors and Experimental TechniquesbusinessInstrumentation
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Simulation and reconstruction of the PANDA Barrel DIRC

2014

Hadronic particle identification (PID) in the barrel region of the PANDA experiment at the new Facility for Antiproton and Ion Research in Europe (FAIR) at GSI, Darmstadt will be provided by a DIRC (Detection of Internally Reflected Cherenkov light) counter. To optimize the performance and reduce the detector cost, detailed simulations of different design elements, such as the width of the radiators, the shape of the expansion volume, and the type of focusing system, were performed using Geant. Custom reconstruction algorithms were developed to match the detector geometry. We will discuss the single photon resolution and photon yield as well as the PID performance for the Barrel DIRC baseli…

PhysicsNuclear and High Energy PhysicsPhotonPhysics::Instrumentation and DetectorsCherenkov detectorDetectorBarrel (horology)PID controllerParticle identificationlaw.inventionNuclear physicsDetection of internally reflected Cherenkov lightlawFacility for Antiproton and Ion ResearchHigh Energy Physics::ExperimentNuclear ExperimentInstrumentationNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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INFLUENCE OF UNCERTAINTIES ON PD TUNING

2013

The aim of this work is to present a method for tuning the parameters of PD controller under the influences of the uncertainties, in order to stabilize the position of a rotor supported by active magnetic bearings (AMBs). The uncertainties are relative to mass, transverse and polar moment of inertia of the rotor. The introduction of the uncertainties is due to an incomplete modeled dynamic of the system or in the case the system being subjected to a parametric variation. The presence of the uncertainties produces a set of differences among the values of the output. Poles displacement method is used to reach the asymptotically stability condition characterized by a periodic oscillation durin…

PhysicsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineUncertainties active magnetic bearing PD controller shaftControl theoryMagnetic bearingPID controllerAngular velocityTransient responseRigid rotorMoment of inertiaImpulse (physics)Parametric statistics
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Experimental validation of a quaternion-based attitude estimation with direct input to a quadcopter control system

2013

This paper presents a method to calculate the attitude quaternion of a quadcopter with few calculations. The quaternion calculation is based on accelerometers and gyroscopes from an Inertial Measurement Unit (IMU). The quaternion from the accelerometer is calculated as the shortest rotation arc from the gravity vector in the navigation frame. The quaternion from the gyroscope is calculated based on equations of the quaternion derivative. A complementary filter is combining the two quaternions with a componentwise comparison. The attitude estimation is calculated without any trigonometric functions. The quaternion is directly used as an input to the attitude controller. The attitude controll…

QuadcopterEngineeringbusiness.industryPID controllerStewart platformGyroscopeControl engineeringlaw.inventionAttitude controlControl theorylawInertial measurement unitbusinessQuaternion2013 International Conference on Unmanned Aircraft Systems (ICUAS)
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Partial Information Decomposition in the Frequency Domain: Application to Control Mechanisms of Heart Rate Variability at Rest and During Postural St…

2020

We exploit a recently proposed framework for assessing causal influences in the frequency domain to construct the partial information decomposition (PID) for informational circuits of three variables, thus obtaining the spectral decomposition of redundancy, synergy and unique information. The approach is applied to heart period (HP), systolic pressure (SP) and respiration (RESP) variability series measured in healthy subjects in baseline and head up tilt conditions. Integrating the informational quantities in the respiratory band, the total influence from RESP to HP does not change in the two conditions. However, we find that in baseline RESP causes HP mostly through the direct pathway desc…

Rest (physics)partial information decompositionRedundancy (information theory)Control theoryFrequency domainDecomposition (computer science)PID controllerHeart rate variabilityBaroreflexMatrix decompositionMathematics2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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Adaptive type-2 fuzzy logic control of a bioreactor

2010

Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearity and parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictive controller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a neural network model of the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PI cont…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemEngineeringAdaptive controlNeuro-fuzzybusiness.industryApplied MathematicsGeneral Chemical EngineeringNonlinear dynamicBioreactorAdaptive controlPID controllerControl engineeringGeneral ChemistryFuzzy control systemFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringType-2 fuzzy logic controlControl theoryProcess controlbusinessStabilityProcess control; Adaptive control; Type-2 fuzzy logic control; Stability; Nonlinear dynamics; BioreactorChemical Engineering Science
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Nonlinear fuzzy control of a fed-batch reactor for penicillin production

2012

Abstract The process of penicillin production is characterized by nonlinearities and parameter uncertainties that make it difficult to control. In the paper the development and testing of a multivariable fuzzy control system that makes use of type-2 fuzzy sets for the control of pH and temperature are described. The performance of the type-2 fuzzy logic control system (T2FLCS) is compared by simulation with that of a type-1 fuzzy logic control system (T1FLCS) and that of a control system with traditional proportional-integral-derivative (PID) controllers proposed in the literature. The fuzzy controllers are optimized using an ANFIS algorithm. The best results are obtained with the T2FLCS pa…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemEngineeringbusiness.industryGeneral Chemical EngineeringMultivariable calculusFuzzy setnon linear systemPID controllerControl engineeringFuzzy control systemFuzzy logicComputer Science ApplicationsNonlinear systemControl theorytype-2 fuzzy logic controllerControl systemfed batch fermentoruncertaintybusinessComputers & Chemical Engineering
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A genetic algorithm for the design of a fuzzy controller for active queue management

2003

Active queue management (AQM) policies are those\ud policies of router queue management that allow for the detection of network congestion, the notification of such occurrences to the\ud hosts on the network borders, and the adoption of a suitable control\ud policy. This paper proposes the adoption of a fuzzy proportional\ud integral (FPI) controller as an active queue manager for Internet\ud routers. The analytical design of the proposed FPI controller is\ud carried out in analogy with a proportional integral (PI) controller,\ud which recently has been proposed for AQM. A genetic algorithm is\ud proposed for tuning of the FPI controller parameters with respect\ud to optimal disturbance rej…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRouterQueue management systemComputer sciencePID controllerFuzzy control systemRandom early detectionTCP Congestion ControlActive queue managementNetwork CongestionFuzzy logicComputer Science ApplicationsHuman-Computer InteractionNetwork congestionControl and Systems EngineeringControl theoryElectrical and Electronic EngineeringTail dropActive Queue ManagementSoftwareFuzzy Controllers.Information SystemsIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
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Design of temperature control system using conventional PID and Intelligent Fuzzy Logic controller

2015

In this paper, we present the design of temperature control for industrial heat treating furnace by using Intelligent Fuzzy Logic and PID controllers. Temperature control is important in heating processes as it can disqualify materials in terms of their physical properties when not well performed. Obviously PID temperature controller is the most used in industries to control non-linear processes. Consequently, it has been found that the output response from Fuzzy Logic is very accurate in terms of overshoot and steady state error when compared to that of PID. Moreover, both temperature controllers are modeled and simulated using MATLAB software.

Temperature controlController; Furnace; Fuzzy Logic; PID; Temperature; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsControl and OptimizationComputer sciencePIDTemperaturePID controllerFurnaceControl engineeringFuzzy control systemFuzzy logicControllerFuzzy LogicControl theoryArtificial IntelligenceControl systemOvershoot (signal)Process controlDiscrete Mathematics and Combinatorics
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