Journal ArticleDOI
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.read more
Citations
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Journal ArticleDOI
A Speed and Flux Observer of Induction Motor Based on Extended Kalman Filter and Markov Chain
TL;DR: In this paper, an adaptive speed and flux estimation method based on the multiple-model extended Kalman filter (EKF) with Markov chain for sensorless induction motor (IM) drives is proposed.
Journal ArticleDOI
An Improved Rotor Flux Space Vector Based MRAS for Field-Oriented Control of Induction Motor Drives
TL;DR: In this paper, an improved low speed performance of classical rotor flux (RF)-based model reference adaptive system (MRAS) for field oriented controlled induction motor (IM) drives is proposed.
Journal ArticleDOI
A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output $LC$ Filter
TL;DR: A new control scheme for a two-level converter based on combining MPC and feed-forward ANN is presented, with the aim of getting lower THD and improving the steady and dynamic performance of the system for different types of loads.
Journal ArticleDOI
Performance Improvement of Torque and Suspension Force for a Novel Five-Phase BFSPM Machine for Flywheel Energy Storage Systems
TL;DR: In this article, a five-phase bearingless flux-switching permanent magnet machine with an E-core stator is presented, where the topology and structure are introduced and the operation principle of the generation of torque and suspension force is also explained.
Journal ArticleDOI
An ANFIS-Based ECMS for Energy Optimization of Parallel Hybrid Electric Bus
TL;DR: A practicality-oriented adaptive EMS for a parallel hybrid electric bus is presented, which combines the adaptive neuro-fuzzy inference system (ANFIS) and equivalent consumption minimization strategy (ECMS), demonstrating striking superiority in self-learning and inference.
References
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Sensorless vector and direct torque control
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.
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Magnetic Bearings and Bearingless Drives
Akira Chiba,Tadashi Fukao,Osamu Ichikawa,Masahide Oshima,Masatsugu Takemoto,David G. Dorrell +5 more
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.