Search results for " sensorless control"

showing 6 items of 6 documents

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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Sensorless Control of Induction-Motor Drive Based on Robust Kalman Filter and Adaptive Speed Estimation

2014

This paper deals with robust estimation of rotor flux and speed for sensorless control of motion control systems with an induction motor. Instead of using sixth-order extended Kalman filters (EKFs), rotor flux is estimated by means of a fourth-order descriptor-type robust KF, which explicitly takes into account motor parameter uncertainties, whereas the speed is estimated using a recursive least squares algorithm starting from the knowledge of the rotor flux itself. It is shown that the descriptor-type structure allows for a direct translation of parameter uncertainties into variations of the coefficients appearing in the model, and this improves the degree of robustness of the estimates. E…

Recursive least squares filterRobust kalman filterEstimatorKalman filterMotion controlSettore ING-INF/04 - AutomaticaControl and Systems EngineeringRobustness (computer science)Control theoryControl systemInduction motor robust Kalman filter adaptive speed estimation sensorless controlElectrical and Electronic EngineeringInduction motorMathematicsIEEE Transactions on Industrial Electronics
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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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Sensorless interaction robot control

2010

Settore ING-INF/04 - AutomaticaRobotics Interaction Sensorless Control
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Vector Projection-based Sensorless Control of a SynRM Drive Including Self and Cross-Saturation

2022

This paper presents a sensorless technique for SynRM drives that is based on a vector projection method and takes into consideration the magnetic saturation of the motor, both the self and the cross-saturation. The proposed method is based on the dynamic equation of the SynRM including saturation, rewritten in integral form, and does not involve any high-frequency carrier injection. The technique has been tested in numerical simulation and experimentally on a suitably developed test set-up. Experimental results show a correct behavior of the sensorless SynRM drive, properly accomplishing speed transients in a wide speed range, including low speed, still maintaining a good accuracy in the sp…

Settore ING-INF/04 - AutomaticaSynchronous reluctance motor sensorless control self and cross-saturation
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Extended Kalman Filter for sensorless control of induction motors

2010

This paper deals with speed and rotor flux estimation of induction motors via Extended Kalman Filter (EKF). The filter is designed starting from a discrete time model obtained by means of a first order discretization of the original nonlinear model of the induction motor (IM). In order to obtain accurate estimation of the above mentioned variables, the load torque is included into the state variables and then estimated, thus constructing a sixth order EKF. Experimental results are shown with reference to a closed loop sensorless control system, consisting of a 750 W induction motor supplied by a voltage source inverter, a cascade controller consisting of four PI control loops and the design…

State variableEngineeringbusiness.industryControl engineeringKalman filterInvariant extended Kalman filterExtended Kalman filterSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theoryFilter (video)Control systemFull state estimation sensorless control experimental validation.TorquebusinessInduction motor2010 First Symposium on Sensorless Control for Electrical Drives
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