Search results for "automatic"

showing 10 items of 730 documents

Decentralized Intrusion Detection In Cooperative Multi-Agent Systems

Settore ING-INF/04 - AutomaticaIntrusion detectionsecuritymulti-agent systems
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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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Intelligent Neuro Fuzzy Dynamic Path Following for Car like Vehicle

2008

Settore ING-INF/04 - AutomaticaNeuro Fuzzy Dynamic Following Car Vehicle
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Innovative Observers for Induction Motor Control

In this thesis the problem of designing observers and controllers for induction motors has been studied and thoroughly discussed using tools from the nonlinear system theory, both for analysis and control purposes. Useful techniques have been used to identify the machine parameters off-line. In the Introduction was dealt the design a control system for a drive of asynchronous machines that uses a voltage source inverter to generate the currents and voltages which carry the drive by making use of an observer of the state rotor variables. The used control algorithms is the \textit{field oriented control} (FOC). The model of the asynchronous induction motor is described starting from the mecha…

Settore ING-INF/04 - AutomaticaObservers Induction Motor Control Asynchronous Motor Luenberger Sliding Kalman Non Linear Observer
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Sensorless interaction robot control

2010

Settore ING-INF/04 - AutomaticaRobotics Interaction Sensorless Control
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Logical Consensus for Distributed Network Agreement

2008

In this paper we introduce a novel consensus mechanism where agents of a network are able to share logical values, or Booleans, representing their local opinions on e.g. the presence of an intruder or of a fire within an indoor environment. Under suitable joint conditions on agents? visibility and communication capability, we provide an algorithm generating a logical linear consensus system that is globally stable. The solution is optimal in terms of the number of messages to be exchanged and the time needed to reach a consensus. Moreover, to cope with possible sensor failure, we propose a second design approach that produces robust logical nonlinear consensus systems tolerating a maximum n…

Settore ING-INF/04 - AutomaticaRobustness (computer science)Computer scienceDistributed computingVisibility (geometry)Stability (learning theory)Algorithm designIntrusion detection systemdistributed systemConsensus algorithmBoolean data typelogical consensuUniform consensus
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Robust and Model Predictive Control applied to DC/DC converters and Shunt Active Filters

Al giorno d'oggi, la domanda di energia elettrica incrementa giorno per giorno. La gente spesso la usa con superficialità sottovalutando quanto essa sia preziosa. Fino a qualche decennio fa, la generazione di energia elettrica era centralizzata e dipendeva dallo sfruttamento delle risorse fossili. La limitatezza delle fonti fossili, insieme agli effetti ambientali del loro sfruttamento, hanno portato la ricerca a trovare vettori energetici alternativi poco inquinanti e facilmente reperibili. Lo sviluppo e la diffusione delle fonti energetiche rinnovabili hanno sancito la fine di una rete elettrica centralizzata a favore di una nuova idea di rete elettrica di tipo distribuita che permette di…

Settore ING-INF/04 - AutomaticaRoust Control MPC MMPC DC/DC QBC Quadratic Boost Modeling Hybryd Systems Hammerstein model identification SSA switching converter SAF active filter High gain boost;Roust Control MPC MMPC DC/DC QBC Quadratic Boost Modeling Hybryd Systems Hammerstein model identification SSA switching converter SAF active filter High gain boost
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Genetic algorithm-based calibration of microscopic traffic simulation model for single-lane roundabouts

2017

A calibration procedure for microscopic simulation models based on a genetic algorithm is proposed. Focus is made on single-lane roundabouts for which many random factors such as gap- acceptance affect operations. A comparison is performed between the capacity functions based on a meta- analytic estimation of critical and follow up headways and simulation outputs of a roundabout built in Aimsun microscopic simulator. Aimsun parameters were optimized using the genetic algorithm tool in MATLAB® which automatically interacted with Aimsun through a Python interface. Results showed that applying the genetic algorithm in the calibration process of the microscopic simulation model, a good match to…

Settore ING-INF/04 - AutomaticaSettore ICAR/04 - Strade Ferrovie Ed AeroportiSingle-lane roundabout Aimsun Genetic Algorithm
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Medium access in WiFi networks: strategies of selfish nodes

2009

This article provides a game theoretical analysis of the WiFi MAC protocol to understand the risks or the advantages offered by possible modifications of MAC functionalities implemented at the driver level.

Settore ING-INF/04 - AutomaticaSettore ING-INF/03 - TelecomunicazioniWiFiGame thoery WiFiGame thoeryGame thoery; WiFi
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A Model Modulated Predictive Current Control Algorithm for the Synchronous Reluctance Motor

2022

This paper proposes a Model Modulated Predictive Control (M2PC) specifically developed for Synchronous Reluctance Motors (SynRM) drives and based on a purposely developed magnetic model taking into account both self- and cross-saturation. The proposed M2PC exploits the discrete-time version of the dynamic model to compute the current prediction and the resulting predicted current error. The built-in PWM modulator chooses the optimal pair of voltage space-vector to be applied by the inverter to minimize the current error. The magnetic model permits obtaining good dynamic performance in every working condition.

Settore ING-INF/04 - AutomaticaSynchronous Reluctance Motor (SynRM) Model Predictive Control (MPC) Predictive Current Control (PCC)
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