Search results for "Control Engineering"

showing 10 items of 435 documents

Landing gear suspension control through adaptive backstepping techniques with H∞ performance

2011

Author's version of a chapter published in the book: Proceedings of the 18th IFAC World Congress 2011. Also available from the publisher at: http://dx.doi.org/10.3182/20110828-6-IT-1002.00589

Engineeringbusiness.industryBacksteppingControl engineeringbusinessSuspension (vehicle)Landing gearIFAC Proceedings Volumes
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Mechatronic Design of a Four-Wheel drive mobile robot and differential steering

2021

This paper presents, the development of an autonomous mobile robot with a four-wheel drive and differential locomotion. The mobile robot was developed in the Machines and Industrial Equipment Department from the Engineering Faculty of Sibiu. The main purpose of developing this type of mobile platform was the ability to transport different types of cargo either in industrial spaces or on rough terrain. Another important objective was that this platform could be driven in confined or tight spaces where a high degree of manoeuvrability is necessary. The great advantage of this type of mobile platform is the ability to navigate through narrow spaces due to the type of locomotion implemented. Th…

lawMecanum wheelCommand and controlDrivetrainRobotControl engineeringDifferential (mechanical device)Mobile robotTA1-2040Four-wheel driveMechatronicsEngineering (General). Civil engineering (General)law.inventionMATEC Web of Conferences
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Control of Power Converters with Hybrid Affine Models and Pulse-Width Modulated Inputs

2021

In this paper, hybrid dynamical systems theory is applied to the analysis and control of switched converters with Pulse-Width Modulated (PWM) inputs. The system is described by a state-space model with continuous flows and discrete jumps, without averaged equations. The modulation effects are captured in full without using time-dependent signals, by enlarging the state vector to include the PWM waveform generation process. Furthermore, the sample-and-hold mechanism associated with the sampling frequency is also taken into account with this approach. A control law is proposed based on a Lyapunov function candidate. Furthermore, convergence sets and the steady state jitter, inherent to PWM-ba…

Lyapunov function0209 industrial biotechnologySteady state (electronics)Dynamical systems theoryComputer scienceLyapunov analysis02 engineering and technologyDynamical system01 natural sciencessymbols.namesakeHybrid dynamical system020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control EngineeringPWMConverter control hybrid dynamical system Lyapunov analysis PWM0101 mathematicsElectrical and Electronic EngineeringJitterhybrid dynamical system010102 general mathematicsState vectorConvertersConverter controlsymbolsPulse-width modulation
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A novel correction method for a low cost sensorless control system of IPMSM electrical drives

2008

In this paper a novel correction method for sensorless Field Oriented Control System of Brushless internal Permanent Magnet Electrical Drives is introduced discussed and experimentally validated. The novelty of this control system is the estimation of rotor speed and angular position is based on the back electromotive force space vector determination, without the aid of voltage probes. Actual voltage signals needed for estimation are replaced with the reference ones given by the current controller. This choice obviously introduces an error that have been vanished by means of a new compensating function or with the aid of data coming from experimental tests. Experimental verifications of the…

Test benchVector controlAngular displacementControl theoryComputer scienceMagnetControl systemTorqueControl engineeringCounter-electromotive forceVoltage2008 IEEE International Symposium on Industrial Electronics
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Efficiency Enhancement of Permanent-Magnet Synchronous Motor Drives by Online Loss Minimization Approaches

2005

In this paper, a new loss minimization control algorithm for inverter-fed permanent-magnet synchronous motors (PMSMs), which allows for the reduction of the power losses of the electric drive without penalty on its dynamic performance, is analyzed, experimentally realized, and validated. In particular, after a brief recounting of two loss minimization control strategies, namely, the "search control" and the "loss-model control," both a new modified dynamic model of the PMSM (which takes into account the iron losses) and an innovative "loss-model" control strategy are presented. Experimental tests on a specific PMSM drive employing the proposed loss minimization algorithm have been performed…

Permanent magnet synchronous motorControl and Systems EngineeringComputer scienceControl theoryControl engineeringLoss minimizationElectrical and Electronic EngineeringSynchronous motorMachine controlIEEE Transactions on Industrial Electronics
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Control of the Biodegradation of Mixed Wastes in a Continuous Bioreactor by a Type-2 Fuzzy Logic Controller

2009

Abstract Type-2 fuzzy logic control is proposed for nonlinear processes characterized by bifurcations. A control simulation study was conducted for a bioreactor with cell recycle containing phenol and glucose as carbon and energy sources in which a pure culture of Pseudomonas putida is carried out. The model developed by Ajbar [Ajbar, A. (2001). Stability analysis of the biodegradation of mixed wastes in a continuous bioreactor with cell recycle. Water Research, 35 (5), 1201–1208] was used for the simulations. The particular dynamics of the bioreactor, characterized by two saddle-node bifurcations, makes its control difficult, since it may become unstable also for small variations of some p…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimicibusiness.industryGeneral Chemical EngineeringOpen-loop controllerPID controllerControl engineeringFuzzy control systemFuzzy logicComputer Science ApplicationsNonlinear systemBifurcation Bioreactor control Stability Type-2 fuzzy logic controllerControl theoryRobustness (computer science)Energy sourcebusiness
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Parameters identification of induction motor dynamic model for offshore applications

2014

The paper presents a technique to identify parameters of the LuGre dynamic friction model applied to represent mechanical losses of an induction motor. This method is based on Artificial Neural Networks (ANNs) system identification which is able to estimate parameters of nonlinear mathematical models. Within the presented approach, the network is first trained to associate model parameters with predicted friction torque, being given the reference motor speed. When this process completes, the inverse operation is performed and the network delivers estimated parameters of the model based on the reference friction torque. These parameters are then integrated with the dynamic model of the induc…

Nonlinear systemEngineeringDirect torque controlArtificial neural networkMathematical modelbusiness.industryControl theoryProcess (computing)System identificationControl engineeringbusinessInduction motorFriction torque2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
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Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data

2012

International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingPhase (waves)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringElectronic engineeringFraction (mathematics)Differential algebraAlgebraic numberMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingEstimation theory020206 networking & telecommunicationsAmplitudeEuler's formulasymbols[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithm[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
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Obtaining dynamic Norton parameters of a solar panel from manufacturer data

2016

Photovoltaic arrays have been shown to possess significant influence on the dynamic performance of coupled source-converter-load system while its dynamic resistance is the most important parameter, contributing to the overall system dynamics. In this paper, a method of deriving the parameters of linearized photovoltaic equivalent circuit from manufacturer data is proposed. The approach allows predicting the range of dynamic Norton parameters for the expected irradiation and temperature operation conditions thus defining clear bounds required for robust design of the system controller.

EngineeringSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryPhotovoltaic systemPhotovoltaic arraysControl engineeringstabilitySystem dynamicsDynamic resistanceRobust designRange (statistics)Solar energy generatorEquivalent circuitbusinessdynamic resistanceSystem controller
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Extended complex Kalman filter for sensorless control of an induction motor

2014

Abstract This paper deals with the design of an extended complex Kalman filter (ECKF) for estimating the state of an induction motor (IM) model, and for sensorless control of systems employing this type of motor as an actuator. A complex-valued model is adopted that simultaneously allows a simpler observability analysis of the system and a more effective state estimation. The observability analysis of this model is first performed by assuming that a third order ECKF has to be designed, by neglecting the mechanical equation of the IM model, which is a valid hypothesis when the motor is operated at constant rotor speed. It is shown that this analysis is more effective and easier than the one …

Induction motor Observability Kalman filtering Complex-valued modelEngineeringStatorbusiness.industryApplied MathematicsComputationControl engineeringKalman filterComputer Science Applicationslaw.inventionMatrix (mathematics)Settore ING-INF/04 - AutomaticaControl and Systems EngineeringlawControl theoryObservabilityElectrical and Electronic EngineeringbusinessMATLABActuatorcomputerInduction motorcomputer.programming_languageControl Engineering Practice
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