Search results for "Induction motor control"

showing 3 items of 3 documents

Descriptor-type Kalman Filter and TLS EXIN Speed Estimate for Sensorless Control of a Linear Induction Motor.

2014

This paper proposes a speed observer for linear induction motors (LIMs), which is composed of two parts: 1) a linear Kalman filter (KF) for the online estimation of the inductor currents and induced part flux linkage components; and 2) a speed estimator based on the total least squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, estimated by the KF, and provides as output the LIM linear speed, which is fed back to the KF and the control system. The KF is based on the classic space-vector model of the rotating induction machine. The end effects of the LIMs have been considered an uncertainty treated by the KF. The TLS EXIN neuron has been used to compute, in …

State variableEngineeringObserver (quantum physics)neural networks (NNs)linear induction motor controlLinear Induction Motor (LIM) Kalman Filter Total Least-Squares Neural Networks.Industrial and Manufacturing EngineeringSettore ING-INF/04 - AutomaticaKalman filter (KF)Control theorylinear induction motor (LIM)state estimationElectrical and Electronic EngineeringTotal least squaresAlpha beta filterArtificial neural networkbusiness.industryEstimatorKalman filterLinear motorFlux linkagetotal least squares (TLS)Control and Systems EngineeringLinear induction motorbusinessInduction motor
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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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Descriptor-type Robust Kalman Filter and Neural Adaptive Speed Estimation Scheme for Sensorless Control of Induction Motor Drive Systems

2012

Abstract This paper deals with robust estimation of speed and rotor flux for sensorless control of motion control systems which use induction motors as actuators. Due to the observability lack of five and six order Extended Kalman Filters, speed is here estimated by means of a Total Least Square algorithm with Neural Adaptive mechanism. This allows the use of a fourth-order Kalman Filter for estimating rotor flux and to filter stator currents. To cope with motor-load parameter variations, a descriptor-type robust Kalman Filter is designed taking explicitly into account these variations. The descriptor-type structure allows direct translation of parameter variations into variations of the co…

Engineeringbusiness.industryGeneral MedicineKalman filterInduction motor controlInvariant extended Kalman filterAdaptive filterExtended Kalman filterSettore ING-INF/04 - AutomaticaControl theoryKernel adaptive filterFast Kalman filterstate estimationObservabilitybusinessAlpha beta filterIFAC Proceedings Volumes
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