Search results for "Model Reference Adaptive System"

showing 4 items of 4 documents

Input-Output Feedback Linearization Control with On-line MRAS Based Inductor Resistance Estimation of Linear Induction Motors Including the Dynamic E…

2016

This paper proposes the theoretical framework and the consequent application of the input–output feedback linearization (FL) control technique to linear induction motors (LIMs). LIM, additionally to rotating induction motor, presents other strong nonlinearities caused by the dynamic end effects, leading to a space-vector dynamic model with time-varying inductance and resistance terms and a braking force term. This paper, starting from a recently developed dynamic model of the LIM taking into consideration its end effects, defines a FL technique suited for LIMs, since it inherently considers its dynamic end effects. Additionally, it proposes a technique for the on-line estimation of the indu…

0209 industrial biotechnologyEngineeringLinear induction motor feedback linearization end-effects MRAS estimator.02 engineering and technologyInductorEnd effectsIndustrial and Manufacturing Engineering020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringlinear induction motor (LIM)Feedback linearizationElectrical and Electronic Engineeringmodel reference adaptive system (MRAS) estimatorbusiness.industry020208 electrical & electronic engineeringControl engineeringInductanceControl and Systems EngineeringLinear induction motorfeedback linearization (FL)HyperstabilitybusinessMRASInduction motor
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Neural based MRAS sensorless techniques for high performance linear induction motor drives.

2010

This paper proposes a neural based MRAS (Model reference Adaptive System) speed observer suited for linear induction motors (LIM). Starting from the dynamical equation of the LIM in the synchronous reference frame in literature, the so-called voltage and current models of the LIM in the stationary reference frame, taking into consideration the end effects, have been deduced. Then, while the inductor equations have been used as reference model of the MRAS observer, the induced part equations have been discretized and rearranged so to be represented by a linear neural network (ADALINE). On this basis, the so called TLS EXIN neuron has been used to compute on-line, in recursive form, the machi…

EngineeringArtificial neural networkObserver (quantum physics)business.industrySettore ING-INF/04 - AutomaticaControl theoryLinear induction motorAdaptive systembusinessMRASReference modelStationary Reference FrameLinear Induction Motor (LIM) Sensorless control Model Reference Adaptive Systems (MRAS) Neural Networks (NN) Field Oriented Control (FOC)Reference frame
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Dynamic performance enhancement of AC/DC PFC boost converters by means of MRAS observers

2015

Controlling a Power Factor Corrected (PFC) boost converter is not a trivial task, because the higher the dynamic performance, the higher is the input current distortion. On the other hand, recent applications of these converters require fast transients in response to disturbances, such as sudden variations of load power, reference voltage and input voltage. Better performance can be obtained adding a feedforward action to the traditional control scheme, using observers to estimate the input voltage and the output current. However, the actual improvement depends on the dynamic performance of the chosen observers. This paper aims at evaluating the applicability and the performance of differen…

EngineeringSwitched-mode power supplybusiness.industryBoost converterFeedforward controlFeed forwardPower factorSliding ModeConvertersObserverPower (physics)Settore ING-INF/04 - AutomaticaControl theoryFeedforward control.Boost converterElectronic engineeringModel Reference Adaptive SystemObserversbusinessPower Factor CorrectionMRASVoltage reference
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MRAS Sensorless Techniques for High Performance Linear Induction Motor Drives.

2010

This paper proposes an MRAS (Model reference Adaptive System) speed observer suited for linear induction motors (LIM). Starting from the dynamical equation of the LIM in the synchronous reference frame in literature, the so-called voltage and current models of the LIM in the stationary reference frame, taking into consideration the end effects, have been deduced. These equations have been used respectively as reference and adaptive model of an MRAS observer. As machine under test, a complete dynamic model, based on the constructive elements of the LIM and taking into consideration the end effects by the definition of a proper air-gap function, has been adopted. This model has been previousl…

Settore ING-INF/04 - AutomaticaLinear Induction Motor (LIM) Sensorless control Model Reference Adaptive Systems (MRAS) Field Oriented Control (FOC).
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