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Speed-Sensorless Vector Control of a Bearingless Induction Motor With Artificial Neural Network Inverse Speed Observer

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TLDR
In this article, a speed observation scheme using artificial neural network (ANN) inverse method was proposed to effectively reject the influence of speed detection on system stability and precision for a bearingless induction motor.
Abstract
To effectively reject the influence of speed detection on system stability and precision for a bearingless induction motor, this paper proposes a novel speed observation scheme using artificial neural network (ANN) inverse method. The inherent subsystem consisting of speed and torque winding currents is modeled, and then its inversion is implemented by the ANN. The speed is successfully observed via cascading the original subsystem with its inversion. The observed speed is fed back in the speed control loop, and thus, the speed-sensorless vector drive is realized. The effectiveness of this proposed strategy has been demonstrated by experimental results.

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Citations
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Journal ArticleDOI

Modeling and Design of a Novel 5-DOF AC–DC Hybrid Magnetic Bearing

TL;DR: In this paper , the authors investigated a novel integrated AC-DC hybrid magnetic bearing (HMB) to reduce the volume, weight, manufacturing, and operation cost of magnetic suspension motors.
Journal ArticleDOI

Stepless Speed Regulation Study of a Wound Pole-Fixed Bearingless Induction Motor With Three Windings

TL;DR: In this article , a new type of BIM with three windings (BIM3W) was proposed to realize variable-voltage and variable-load speed regulation by analyzing the magnetic field distribution with odd pole pairs and dipole pairs.

A Fuzzy-ELADRC Method for a Bearingless Induction Motor

TL;DR: The results show that the proposed fuzzy-ELADRC method not only realizes the rapid and stable suspension of the rotor, but also effectively improves the starting performance, variable speed performance, and antidisturbance performance of the BIM system.
References
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Walter Rudin
TL;DR: The real and complex number system as discussed by the authors is a real number system where the real number is defined by a real function and the complex number is represented by a complex field of functions.
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TL;DR: This book, by the authors of the Neural Network Toolbox for MATLAB, provides a clear and detailed coverage of fundamental neural network architectures and learning rules, as well as methods for training them and their applications to practical problems.
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Sensorless vector and direct torque control

Peter Vas
TL;DR: 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.
Journal ArticleDOI

Kolmogorov's theorem and multilayer neural networks

TL;DR: From a direct proof of the universal approximation capabilities of perceptron type networks with two hidden layers, estimates of numbers of hidden units are derived based on properties of the function being approximation and the accuracy of its approximation.
Book

Magnetic Bearings and Bearingless Drives

TL;DR: The application of bearingless drives is emerging as an important technique in the areas of high-speed machinery and motion control, and a thorough grounding in the principles behind this cutting-edge technology is provided in this article.
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