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Sensorless vector and direct torque control

Peter Vas
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TLDR
This paper presents a space-phasor model of A.C. machines based on artificial intelligence-based steady-state and transient analysis of electrical machines, estimators and investigates the role of magnetic saturation in the control of these machines.
Abstract
1. Introduction 2. The space-phasor model of A.C. machines 3. Vector and direct torque control of synchronous machines 4. Vector and direct torque control of induction machines 5. Torque control of switched reluctance motors 6. Effects of magnetic saturation 7. Artificial intelligence-based steady-state and transient analysis of electrical machines, estimators 8. Self-commissioning Index

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Proceedings ArticleDOI

Robust speed-sensorless induction motor drive for traction applications

TL;DR: The speed adaptation mechanism in the MRAS-type speed and flux estimator has been improved and the speed estimator is extended with the magnetizing reactance estimator, over the wide range of the motor speed changes.
Journal ArticleDOI

Neural speed estimator for line-connected induction motor embedded in a digital processor

TL;DR: The use of artificial neural networks to estimate rotor speed by using current sensors for balanced and unbalanced voltage sources with a wide mechanical load range in a line-connected induction motor is proposed.
Proceedings ArticleDOI

A Vector-Control System Based on the Improved MRAS for PMSM

TL;DR: In this article, a vector-control system of the improved Model Reference Adaptive System (MRAS) based on speed positive feedback can improve the performance of the permanent magnet synchronous motor (PMSM).
Proceedings ArticleDOI

Model based torque estimation of Permanent Magnet Synchronous Machines

TL;DR: In this paper, a model-based machine torque estimation method was used in electronic power assisted steering systems. But this technique can also be used to detect machine failures and verify the failure of the machine current measurement sensors.
Proceedings ArticleDOI

Analysis and design of rotor MRAS speed sensorless with a novel approach

TL;DR: In this article, a modified MRAS for induction motors is presented, which is associated with vector control, and the speed estimation performances are improved especially at low speed, where Lyapunov theory based controllers are used to design the controllers of the vector control.