Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Electrical Engineering
Erschienen in: Electrical Engineering 1/2016

03.10.2015 | Original Paper

Switched reluctance motor control without position sensor by using data obtained from finite element method in artificial neural network

verfasst von: Mehmet Polat, Eyyup Oksuztepe, Hasan Kurum

Erschienen in: Electrical Engineering | Ausgabe 1/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Switched reluctance motors (SRMs) require sensitive rotor information in order to work sensitively and properly and especially for the commutation of phase currents. Position information is generally acquired from a sensor which is generally placed into the stator or connected to the rotor. However, sensors have disadvantages in terms of cost, safety, complexity and volume. In order to remove these disadvantages, recent studies concentrate on SRMs working without a position sensor. In this study control methods working without a position sensor are examined, the applied method is presented comprehensively. The education and test data of the artificial neural network is not obtained from simulation or experimental results; it is obtained from magnetic analyses carried out in ANSYS 10 and the results are used in position speed and current sensorless control of SRM. The validity of proposed method is demonstrated by using DS 1103.
Vorheriger Artikel Partial discharge pattern analysis using PCA and back-propagation artificial neural network for the estimation of size and position of metallic particle adhering to spacer in GIS
Nächster Artikel PI-PD controllers for controlling stable processes with inverse response and dead time

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Aydın Ç (2001) Bir Anahtarlamalı Relüktans Motorun Hibrit Gözlemci ile Pozisyon Algılayıcısız Çalıştırılması, Doktora Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, Ankara
2.
Haris WD, Lang JH (1990) A simple motion estimator for variable-reluctance motors. IEEE Trans Ind Appl 26(2):237–243CrossRef
3.
Panda SK, Amaratunga GAJ (1993) Waveform detection technique for indirect rotor-position sensing of switched-reluctance motor drives. II. Expermental result. IEEE Electr Power Appl 140(1):89–96
4.
Panda D, Ramanarayanan V (2000) Sensorless control of switched reluctance motor drive with self-measured flux-linkage characteristics. In: IEEE power electronics specialist conference, vol 3, pp 1569–1574
5.
Mvungi NH, Lahoud MA (1991) A new sensorless position detector for SR drives. In: IEEE power electronics and variable-speed drives, pp 249–252
6.
Brosse A, Henneberger G, Schniedermeyer M, Lorenz RD, Nagel N (1998) Sensorless control of a SRM at low speeds and standstill based on signal power evaluation. In: IEEE IECON’98, vol 3, pp 1538–1543
7.
Bass JT, Ehsani M, Miller Timothy J E (1986) Robust torque control of switched-reluctance motors without a shaft-position sensor. IEEE Trans Ind Electron IE–33:212–216CrossRef
8.
Ehsani M, Husain I (1992) Rotor position sensing in switched reluctance motor drives by measuring mutually induced voltages. In: Industry Applications Society annual meeting, vol 1, pp 422–429
9.
Direnzo MT, Khan W (1997) Self-trained commutation algorithm for an SR motor drive system without position sensing. In: IEEE industry applications conference, vol 1, pp 341–348
10.
Gallegos-Lopez G, Kjaer PC, Miller TJE (1999) High-grade position estimation for SRM drives using flux linkage/current correction model. IEEE Trans Ind Appl 35:859–869CrossRef
11.
Ma Bin-Yen, Feng Wu-Shiung, Liu Tian-Hua, Chen Ching-Guo (1998) Design and implementation of a sensorless switched reluctance drive system. IEEE Trans Aerosp Electron Syst 34:1193–1207CrossRef
12.
Gallegos-Lopez G, Kjaer PC, Miller TJE (1998) A new sensorless method for switched reluctance motor drives. IEEE Trans Ind Appl 34:832–840CrossRef
13.
Ertugrul N, Cheok AD (2000) Indirect angle estimation in switched reluctance motor drive using fuzzy logic based motor model. IEEE Trans Power Electron 15:1029–1044CrossRef
14.
Cheok AD, Zhongfang W (2005) Fuzzy logic rotor position estimation based switched reluctance motor DSP drive with accuracy enhancement. IEEE Trans Power Electron 20:908–921CrossRef
15.
Kosaka T, Ochial K, Matsui N (2001) Sensorless control of SRM using magnetizing curves. Electr Eng Jpn 135(2):60–68CrossRef
16.
Brosse A, Henneberger G (1998) Different models of the SRM in state space format for the sensorless control using a Kalman fitler. In: IEEE power electronics and variable speed drives, pp 269–274
17.
Falahi M, Salmasi FR, Lucas C (2006) Modified passivity-based control of switched-reluctance motor with speed and load torque observers. In: IEEE industrial electronics, IECON 2006, pp 1077–1081
18.
Ünal S (2009) Sürekli Mıknatıslı Senkron Motorlarda Yapay Sinir Ağları Kullanarak Algılayıcısız Konum Tahmini, Doktora Tezi, Fırat Üniversitesi Fen Bilimleri Enstitüsü, Elazığ
19.
Hudson CA, Lobo NS, Krishnan R (2008) Sensorless control of single switch-based switched reluctance motor drive using neural network. IEEE Trans Ind Electron 55:321–329CrossRef
20.
Mese E, Torrey DA (1997) Sensorless position estimation for variable reluctance machines using artifical neural networks. In: Proceedings of IEEE IAS annual meeting, pp 540–547
21.
Mese E, Torrey DA (2002) An approach for sensorless position estimation for switched reluctance motors using artifical neural networks. IEEE Trans Power Electron 17:66–75CrossRef
22.
Reay DS, Williams BW (1999) Sensorless position detection using neural networks for the control of switched reluctance motors. In: IEEE international conference on control applications, vol 2, pp 1073–1077
23.
Bellini A, Filippetti F, Franceschini G, Tassoni C, Vas P (1998) Position sensorless control of a SRM drive using ANN-techniques. In: IEEE industry applications conference, vol 1, pp 709–714
24.
Polat M, Kürüm H (2011) Analytic design of dimensional at submersible pump-type Switched Reluctance Motor with 8/6 poles. e-Journal New World Sci Acad 6(1):359–378
Metadaten
Titel
Switched reluctance motor control without position sensor by using data obtained from finite element method in artificial neural network
verfasst von
Mehmet Polat
Eyyup Oksuztepe
Hasan Kurum
Publikationsdatum
03.10.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 1/2016
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-015-0338-1

Weitere Artikel der Ausgabe 1/2016

Electrical Engineering 1/2016 Zur Ausgabe

Original Paper

Combined random space vector modulation for a variable speed drive using induction motor

Original Paper

Speed estimation of an induction machine based on designed Lyapunov candidate functions

Original Paper

Stabilized adaptive controller based on direct IF–THEN knowledge of electronic systems for PWM drivers

Original Paper

PI-PD controllers for controlling stable processes with inverse response and dead time

Original Paper

Time-based fault location method for LV distribution systems

Original Paper

Battery management system with active inrush current control for Li-ion battery in light electric vehicles

Neuer Inhalt

    Bildnachweise