Search results for "Control and Systems Engineering"

showing 10 items of 994 documents

Broken rotor bars detection via Park's vector approach based on ANFIS

2014

Many attempts have been made on fault diagnosis of induction motors based on frequency and time domain analysis of stator current. In this paper, first the Park's vector transformation and frequency analysis for fault detection of induction motors are introduced. Then a smart approach using Adaptive Neuro Fuzzy Inference System (ANFIS) is proposed. This approach uses the time domain features derived from the Park's vector transformation of stator current. By the proposed method, a partial break including 5 mm crack on a bar, one broken bar and two broken bars using experimental data are investigated. It will be shown that features derived from Park's vector compared to features obtained fro…

EngineeringAdaptive neuro fuzzy inference systemRotor (electric)business.industryStatorANFIS; broken rotor bars; fault diagnosis; Park's transformation; Electrical and Electronic Engineering; Control and Systems EngineeringCoordinate vectorfault diagnosisFault (power engineering)Fault detection and isolationlaw.inventionlawControl theoryControl and Systems EngineeringTime domainElectrical and Electronic EngineeringbusinessANFISbroken rotor barsPark's transformationInduction motor
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Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering

2012

This paper presents a sensorless technique for permanent-magnet synchronous motors (PMSMs) based on high-frequency pulsating voltage injection. Starting from a speed estimation scheme well known in the literature, this paper proposes the adoption of a neural network (NN) based adaptive variable-band filter instead of a fixed-bandwidth filter, needed for catching the speed information from the sidebands of the stator current. The proposed NN filter is based on a linear NN adaptive linear neuron (ADALINE), trained with a classic least mean squares (LMS) algorithm, and is twice adaptive. From one side, it is adaptive in the sense that its weights are adapted online recursively. From another si…

EngineeringArtificial neural networkbusiness.industryStatorBandwidth (signal processing)Control engineeringFilter (signal processing)law.inventionAdaptive filterLeast mean squares filterControl and Systems EngineeringControl theorylawKernel adaptive filterElectrical and Electronic EngineeringbusinessSynchronous motor
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Visual-based Feedback Control of Casting Manipulation

2006

In this paper, we present a method to control casting manipulation by means of real-time visual feedback. Casting manipulation is a technique to deploy a robotic end-effector at large distances from the robot’s base, by throwing the end-effector and controlling its ballistic flight using forces transmitted through a light tether connected to the end-effector itself. The tether cable can also be used to retrieve the end-effector and exert forces on the robot’s environment. Previous work has shown that casting manipulation is able to catch objects at a large distance, proving it viable for applications such as sample acquisition and return, rescue, etc. In previous experiments, the position o…

EngineeringCasting manipulationbusiness.industryMoving targetOpen-loop controllerComputerApplications_COMPUTERSINOTHERSYSTEMSRoboticsControl engineeringFeedback loopVisual controlReal-time plannerVisual feedbackSettore ING-INF/04 - AutomaticaCasting (metalworking)Control and Systems EngineeringControl systemRobotArtificial intelligencebusinessClosing (morphology)SimulationSoftware
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Semiactive Control Methodologies for Suspension Control With Magnetorheological Dampers

2012

Authors version of an article published in the journal: IEEE/ASME Transactions on Mechatronics. Also available from the publisher at: http://dx.doi.org/10.1109/TMECH.2011.2107331 Suspension systems are one of the most critical components of transportation vehicles. They are designed to provide comfort to the passengers to protect the chassis and the freight. Suspension systems are normally provided with dampers that mitigate these harmful and uncomfortable vibrations. In this paper, we explore two control methodologies (in time and frequency domain) used to design semiactive controllers for suspension systems that make use of magnetorheological dampers. These dampers are known because of th…

EngineeringChassisbackstepping magnetorheological (MR) damper quantitative feedback control semiactive control suspension controlNonlinear controlsuspension controlDamperQuantitative feedback theoryControl theoryMagnetorheological dampersmagnetorheological (MR) damperAutomòbils -- AmortidorsElectrical and Electronic EngineeringSuspension (vehicle)Amortidors magneto-reològicsquantitative feedback controlsemiactive controlbusiness.industryVDP::Technology: 500::Mechanical engineering: 570Linear systemBackstepping; magnetorheological (MR) damper; quantitative feedback control; semiactive control; suspension control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringComputer Science ApplicationsBacksteppingControl and Systems EngineeringBacksteppingMagnetorheological fluidbusinessIEEE/ASME Transactions on Mechatronics
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Optimization and finite-frequency H ∞ control of active suspensions in in-wheel motor driven electric ground vehicles

2015

Abstract In this paper, the parameter optimization and H ∞ control problem of active suspensions equipped in in-wheel motor driven electric ground vehicles are investigated. In order to better isolate the force transmitted to motor bearing, dynamic vibration absorber (DVA) is installed in the active suspension. Parameters of the vibration isolation modules are also optimized in order to achieve better suspension performances. As the human body is much sensitive to vibrations between 4 and 8 Hz, a finite-frequency state-feedback H ∞ controller is designed to achieve the targeted disturbance attenuation in the concerned frequency range while other performances such as road holding capability …

EngineeringComputer Networks and CommunicationsGroundbusiness.industryApplied MathematicsAttenuationH controlActive suspensionVibrationDynamic Vibration AbsorberVibration isolationControl and Systems EngineeringDeflection (engineering)Control theorySignal ProcessingbusinessJournal of the Franklin Institute
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Delay-dependent control for 2-D switched delay systems in the second FM model

2013

This paper is concerned with the problem of delay-dependent H∞ control for 2-D (two-dimensional) switched discrete state delay systems described by the second FM (Fornasini and Marchesini) state-space model. Firstly, some sufficient conditions for the exponential stability and weighted H∞ disturbance attenuation performance of the underlying system are derived via the average dwell time approach. Then, based on the obtained results, a state feedback controller design is proposed to guarantee that the resulting closed-loop system is exponentially stable and achieves a prescribed disturbance attenuation level γ. Finally, a numerical example is provided to verify the effectiveness of the propo…

EngineeringComputer Networks and Communicationsbusiness.industryApplied MathematicsAttenuationH controlState (functional analysis)Delay dependentDwell timeExponential stabilityControl and Systems EngineeringControl theorySignal ProcessingFull state feedbackbusinessJournal of the Franklin Institute
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Control strategy analysis of the hydraulic hybrid excavator

2015

Abstract Applying the electric hybrid technique on the off-road vehicle is one popular method to reduce the fuel consumption. However, the high cost, low energy conversion efficiency and disposal of used batteries are still the main problems. This paper is focusing on one alternative choice which is hydraulic hybrid off-road vehicles. Among the most typical off-road vehicles, the excavator is chosen as the prototype to study the control strategy. First, the basic principle of the hydraulic hybrid excavator based on Common Pressure Rail is introduced. Then, the mathematical model of the whole excavator is created. Moreover, the dynamic programming algorithm is used to solve the optimal contr…

EngineeringComputer Networks and Communicationsbusiness.industryApplied MathematicsControl (management)Control engineeringStrategy analysisControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsOptimal controlAutomotive engineeringDynamic programmingExcavatorVariable (computer science)Control and Systems EngineeringSignal ProcessingTrajectoryFuel efficiencybusinessJournal of the Franklin Institute
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H∞ static output-feedback control design with constrained information for offshore wind turbine system

2013

Abstract This paper deals with H ∞ static output-feedback control design with constrained information for offshore wind turbines. Constrained information indicates that a special zero–nonzero structure is imposed on the static output-feedback gain matrix. A practical use of such an approach is to design a decentralized controller for a wind turbine. This will also benefit the controller in such a way that it is more tolerant to sensor failure. Furthermore, the model under consideration is obtained by using the wind turbine simulation software FAST. Sufficient conditions to design an H ∞ controller are given in terms of Linear Matrix Inequalities ( LMI s ). Simulation results are given to il…

EngineeringComputer Networks and Communicationsbusiness.industryApplied MathematicsControl (management)Structure (category theory)Control engineeringcomputer.software_genreTurbineSimulation softwareOffshore wind powerMatrix (mathematics)H-infinity methods in control theoryControl and Systems EngineeringControl theorySignal ProcessingbusinesscomputerJournal of the Franklin Institute
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Analysis of Offshore Knuckle Boom Crane - Part One: Modeling and Parameter Identification

2013

This paper presents an extensive model of a knuckle boom crane used for pipe handling on offshore drilling rigs. The mechanical system is modeled as a multi-body system and includes the structural flexibility and damping. The motion control system model includes the main components of the crane's electro-hydraulic actuation system. For this a novel black-box model for counterbalance valves is presented, which uses two different pressure ratios to compute the flow through the valve. Experimental data and parameter identification, based on both numerical optimization and manual tuning, are used to verify the crane model. The demonstrated modeling and parameter identification techniques target…

EngineeringComputerApplications_COMPUTERSINOTHERSYSTEMSBoomlcsh:QA75.5-76.95System modelcounterbalance valveKnuckleComponent (UML)multi-body systemmedicineHydraulic machinerybusiness.industrydirectional control valveControl engineeringMotion controlComputer Science ApplicationsHydraulic craneMechanical systemflexibilityIdentification (information)medicine.anatomical_structureControl and Systems EngineeringModeling and Simulationlcsh:Electronic computers. Computer sciencebusinessSoftwareMarine engineeringModeling, Identification and Control: A Norwegian Research Bulletin
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A state-space approach to mathematical modeling and parameters identification of vehicle frontal crash

2014

In this paper a state-space estimation procedure that relies on the time-domain analysis of input and output signals is used for mathematical modeling of vehicle frontal crash. The model is a double-spring–mass–damper system, whereby the front mass and real mass represent the chassis and the passenger compartment, respectively. It is observed that the dynamic crash of the model is closer to the dynamic crash from experimental when the mass of the chassis is greater than the mass of the passenger compartment. The dynamic crash depends on pole placement and the estimated parameters. It is noted that when the poles of the model are closer to zero, the dynamic crash of the model is far from the…

EngineeringControl and OptimizationChassisState-space representationbusiness.industryStiffnessCrashIdentification (information)Nonlinear Sciences::Adaptation and Self-Organizing SystemsArtificial IntelligenceControl and Systems EngineeringControl theoryFull state feedbackmedicineState spacemedicine.symptombusinessComputer Science::Distributed Parallel and Cluster ComputingSimulationSystems Science & Control Engineering
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