scispace - formally typeset
Open AccessBook

Sensorless vector and direct torque control

Peter Vas
Reads0
Chats0
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

read more

Citations
More filters
Proceedings ArticleDOI

Sensorless vector control of Induction machine using MRAS techniques

TL;DR: In this paper, speed estimation techniques for the field oriented control of induction machines are studied. And the performance of induction motor with rotor flux based indirect vector control utilizing the estimated speed is observed using both the estimation techniques.
Proceedings ArticleDOI

Low and Zero Speed Sensorless Control of nonsalient PMSM

TL;DR: In this article, a speed sensorless control of nonsalient PMSM is demonstrated, where estimated rotor flux is directly utilized, instead of transformation angle, and a discrete-time sliding-mode current controller in stationary frame with EMF feedforward is employed.
Proceedings ArticleDOI

Three-phase induction motor DTC-SVM scheme with Self-Tuning PI-Type Fuzzy controller

TL;DR: In this article, a Direct Torque Control (DTC) with Space Vector Modulation (SVM) and Self-Tuning PI-Type Fuzzy (STPIF) controller is proposed.
Proceedings ArticleDOI

Permanent magnet synchronous drives observability analysis for motion-sensorless control

TL;DR: The local observability of sensorless permanent magnet synchronous drives is studied and a special interest is given to the standstill operation condition, where sensorless drives suffer of poor performance.

Linear Parameter Varying Control of Induction Motors

TL;DR: It is demonstrated how LPV methods can be applied to several subproblems in induction motor control and how this knowledge can be employed to improve the numerics of the controller synthesis and to reduce the computational burden in the implementation.