Trends in Electrical Machines Control: Samples for Classical, Sensorless, and Fault-Tolerant Techniques

Bétin, F.; Capolino, Gérard‐André; Casadei, D.; Kawkabani, B.; Bojoi, Radu; Harnefors, Lennart; Levi, E.; Parsa, Leila; Fahimi, Babak

doi:10.1109/mie.2014.2313752

Cited by 100 publications

(55 citation statements)

References 53 publications

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“…Because of multi-phase permanent magnet synchronous motors (PMSMs) high-power density, less current per phases, less torque ripples and fault tolerance capability, speed-drives based on these motors are receiving more attention in the last decade in some sensitive applications such as: aerospace, electric vehicles, marine and ships [1][2][3][4][5]. These motors control and supply techniques have blessed from the huge development of power electronics.…”

Section: Introductionmentioning

confidence: 99%

Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

2017

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This paper focuses on speed control of Five-Phase interior permanent magnet synchronous motor (IPMSM) through proportional-integral (PI) controller, sliding mode control (SMC) and novel fractional integral terminal sliding mode control (FITSMC) approaches under normal and open one-phase and two-phase faulty conditions. The SMC and FITSMC design processes have been deeply illustrated, while the stability of the aforementioned controllers has been guaranteed via Lyapunov theory. These ones are all designed based on rotor speed error which is generated from its measured and referenced values. Simulation results confirm the effectiveness and feasibility of the proposed control approaches in the fault tolerant control strategy and normal drive for Five-Phase IPMSM.

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Section: Introductionmentioning

confidence: 99%

Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

2017

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“…Among such features, the reduced volume, low maintenance cost and high efficiency can be mentioned. PMSMs are employed in systems where high dynamic performance is required, such as robotics, and for energy saving in home appliances, automotive applications, among others, due to their high efficiency [1]. To perform current and speed control, information of rotor position and voltage and current measurements are necessary.…”

Section: Introductionmentioning

confidence: 99%

Back-EMF Based Rotor Position Estimation for Low Cost PMSM Drive Using Fully Connected Cascade Artificial Neural Networks

Negri¹,

Nazário²,

Oliveira³

et al. 2017

Eletrônica de Potência

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-Permanent Magnet Synchronous Motors (PMSMs) are widely used mainly due to their high torque per volume, high efficiency and low maintenance cost, among other advantages. To perform vector control on rotor speed and stator currents, the feedback of those variables is necessary, which can be done directly or by estimation. Measuring rotor position and speed directly requires the use of a mechanical device attached to the motor shaft, increasing the drive system volume and its maintenance cost. To overcome such disadvantages, many sensorless methods for speed estimation have been proposed. Among those methods, various strategies based on Artificial Neural Networks (ANNs) can be found. This paper presents a back-electromotive force estimator based on Fully Connected Cascade ANNs (FCC-ANNs). From the estimator, rotor position and speed can be obtained. Simulation and experimental results using automatically generated C code functions for the FCC-ANNs using fixed point notation provided rotor position estimation with simple implementation.

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“…In [5], a state of the art about a sensorless control is given for PMSM. There are two families of sensorless control methods.…”

Section: Introductionmentioning

confidence: 99%

Adaline Neural Networks-based sensorless control of five-phase PMSM drives

Nguyen

Semail

Belie

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Abstract-This papers presents a sensorless control for fivephase PM synchronous machines. An adaptive method, based on a linear neural network called Adaline (Adaptive Linear Neural Networks), has been achieved to estimate the rotor position with a high precision even at low speed without high frequency signal injection. Non-sinusoidal three-phase PM machines require more complex algorithm for sensorless control because of harmonics in the back-EMF. This is not the case for multiphase PM machines thanks to the property of equivalent machines in the eigenspace. Some given simulation and experimental results in laboratory confirm the possibility of real-time implementation of Adaline networks and the good performance of sensorless control based on this.

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Trends in Electrical Machines Control: Samples for Classical, Sensorless, and Fault-Tolerant Techniques

Cited by 100 publications

References 53 publications

Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

Back-EMF Based Rotor Position Estimation for Low Cost PMSM Drive Using Fully Connected Cascade Artificial Neural Networks

Adaline Neural Networks-based sensorless control of five-phase PMSM drives

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