Skip to main content
Top
Published in: Electrical Engineering 2/2020

07-01-2020 | OriginalPaper

Sensorless speed control of 6/4-pole switched reluctance motor with ANFIS and fuzzy-PID-based hybrid observer

Authors: L. Senthil Murugan, P. Maruthupandi

Published in: Electrical Engineering | Issue 2/2020

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper presents the sensorless speed control of 6/4 pole SRM drive based on hybrid observer (HO). It consists of two modes, i.e., current sliding mode observer is for high speed and flux linkage sliding mode observer is for low speed control. A nonlinear model of SRM is simulated in MATLAB/Simulink. HO is simulated from low to high speed level, and also estimated position and speed errors are optimized with ANFIS and fuzzy-PID methods. Experimental validation is taken for three set speeds, and measured results are compared with the simulated results. Overall speed and position estimated error, electromagnetic torque ripple output results are compared, and its values are tabulated at the end. This observer has the advantages of high-precision speed control without any additional hardware, and also performance has improved.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

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!

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!

Literature
1.
go back to reference Liu J, Wang G, Li C, Li Y, Fan Y, Mu D (2018) A new modelling method for switched reluctance motor based on the fuzzy logic system. In: Proceedings of the 37th Chinese control conference, pp 1849–1853 Liu J, Wang G, Li C, Li Y, Fan Y, Mu D (2018) A new modelling method for switched reluctance motor based on the fuzzy logic system. In: Proceedings of the 37th Chinese control conference, pp 1849–1853
2.
go back to reference Sajid O (2018) Performance analysis of switched reluctance motor for 24/7 working environment. In: International conference on high capacity optical networks & enabling/emerging technologies (HONET-ICT), pp 56–60 Sajid O (2018) Performance analysis of switched reluctance motor for 24/7 working environment. In: International conference on high capacity optical networks & enabling/emerging technologies (HONET-ICT), pp 56–60
3.
go back to reference Muthulakshmi S, Dhanasekaran R (2016) Intelligent controller based speed control of front end asymmetric converter fed switched reluctance motor. In: International conference on advanced communication control and computing technologies (ICACCCT), pp 426–431 Muthulakshmi S, Dhanasekaran R (2016) Intelligent controller based speed control of front end asymmetric converter fed switched reluctance motor. In: International conference on advanced communication control and computing technologies (ICACCCT), pp 426–431
4.
go back to reference Saha N, Panda S, Choudhury DS, Rath S, Panda SK (2016) Comparison on behaviour of different faults in fuzzy logic and PID controlled switched reluctance motor drives. In: IEEE 2nd international conference on communication, control and intelligent systems (CCIS), pp 164–169 Saha N, Panda S, Choudhury DS, Rath S, Panda SK (2016) Comparison on behaviour of different faults in fuzzy logic and PID controlled switched reluctance motor drives. In: IEEE 2nd international conference on communication, control and intelligent systems (CCIS), pp 164–169
5.
go back to reference Domínguez Navarro JA, Artal-Sevil JS, Pascual HA, Bernal-Agustín JL (2018) Fuzzy-logic strategy control for switched reluctance machine. In: Thirteenth international conference on ecological vehicles and renewable energies (EVER) Domínguez Navarro JA, Artal-Sevil JS, Pascual HA, Bernal-Agustín JL (2018) Fuzzy-logic strategy control for switched reluctance machine. In: Thirteenth international conference on ecological vehicles and renewable energies (EVER)
6.
go back to reference Kota VR, Ramayya SAVCJ (2018) Speed control of switched reluctance motor using fuzzy logic controller. Int J Pure Appl Math 120(6):631–643 Kota VR, Ramayya SAVCJ (2018) Speed control of switched reluctance motor using fuzzy logic controller. Int J Pure Appl Math 120(6):631–643
7.
go back to reference Pavithra R, Maheswari C (2017) Speed control of switched reluctance motor powered by renewable energy. In: IEEE international conference on innovations in green energy and healthcare technologies (ICIGEHT), vol 4, Issue 6, pp 1–5 Pavithra R, Maheswari C (2017) Speed control of switched reluctance motor powered by renewable energy. In: IEEE international conference on innovations in green energy and healthcare technologies (ICIGEHT), vol 4, Issue 6, pp 1–5
8.
go back to reference Jambulingam V (2016) Fuzzy logic controller design for switched reluctance motor. Int J Sci Res (IJSR) 5(4):411–415CrossRef Jambulingam V (2016) Fuzzy logic controller design for switched reluctance motor. Int J Sci Res (IJSR) 5(4):411–415CrossRef
9.
go back to reference Hema S, Ilansezhian T, Nammalvar P (2015) An intelligent control for 6/4 SRM using MATLAB. Int J Adv Eng Res Sci (IJAERS) 2(3):53–59 Hema S, Ilansezhian T, Nammalvar P (2015) An intelligent control for 6/4 SRM using MATLAB. Int J Adv Eng Res Sci (IJAERS) 2(3):53–59
10.
go back to reference Shalini S, Kulandaivel V (2015) Speed precision of Switched reluctance motor using fuzzy logic controller. In: IEEE sponsored 2nd international conference on electronics and communication system (ICECS), pp 1721–1724 Shalini S, Kulandaivel V (2015) Speed precision of Switched reluctance motor using fuzzy logic controller. In: IEEE sponsored 2nd international conference on electronics and communication system (ICECS), pp 1721–1724
11.
go back to reference Brandstetter P, Hrbac R, Polak M, Stepanec L (2011) Application of fuzzy logic in control of switched reluctance motor. Adv Electr Electron Eng 5:68–71 Brandstetter P, Hrbac R, Polak M, Stepanec L (2011) Application of fuzzy logic in control of switched reluctance motor. Adv Electr Electron Eng 5:68–71
12.
go back to reference Kalaivani L, Marimuthu NS, Subburaj P (2011) Intelligent control for torque-ripple minimization in switched reluctance motor. In: 1st IEEE international conference on electrical energy systems (ICEES), vol 3, no. 5, pp 182–186 Kalaivani L, Marimuthu NS, Subburaj P (2011) Intelligent control for torque-ripple minimization in switched reluctance motor. In: 1st IEEE international conference on electrical energy systems (ICEES), vol 3, no. 5, pp 182–186
13.
go back to reference Nagrial M, Rizk J, Aljaism W (2010) Dynamic simulation of switched reluctance motor using MATLAB and Fuzzy Logic. In: Proceedings of the 14th international middle east power systems conference (MEPCON’10), pp 819–824 Nagrial M, Rizk J, Aljaism W (2010) Dynamic simulation of switched reluctance motor using MATLAB and Fuzzy Logic. In: Proceedings of the 14th international middle east power systems conference (MEPCON’10), pp 819–824
14.
go back to reference Song A, Gu YCD (2010) Study of based fuzzy-PID control for switched reluctance motor. Int Conf Comput Des Appl (ICCDA) 3:558–561 Song A, Gu YCD (2010) Study of based fuzzy-PID control for switched reluctance motor. Int Conf Comput Des Appl (ICCDA) 3:558–561
15.
go back to reference Sovicka P, Vavrus V, Rafajdus P, Gao Q (2017) Sensor less control of variable speed drives using switched reluctance machine. In: IEEE international symposium on sensor less control for electrical drives (SLED), pp 61–66 Sovicka P, Vavrus V, Rafajdus P, Gao Q (2017) Sensor less control of variable speed drives using switched reluctance machine. In: IEEE international symposium on sensor less control for electrical drives (SLED), pp 61–66
16.
go back to reference Peng F, Ye J, Emadi A (2017) Position sensor less control of switched reluctance motor based on numerical method. IEEE Trans Ind Appl 53(3):2159–2168CrossRef Peng F, Ye J, Emadi A (2017) Position sensor less control of switched reluctance motor based on numerical method. IEEE Trans Ind Appl 53(3):2159–2168CrossRef
17.
go back to reference Li C, Wang G, Fan Y, Bai Y (2016) A self-tuning fuzzy PID speed control strategy for switched reluctance motor. In: 28th Chinese control & decision conference (CCDC), pp 3084–3089 Li C, Wang G, Fan Y, Bai Y (2016) A self-tuning fuzzy PID speed control strategy for switched reluctance motor. In: 28th Chinese control & decision conference (CCDC), pp 3084–3089
18.
go back to reference Divandari M, Rezaie B, Askari-Ziarati B (2016) Torque estimation of sensor less SRM drive using adaptive-fuzzy logic control. IEEE NW Russia Young Res Electr Electron Eng Conf 1:542–546 Divandari M, Rezaie B, Askari-Ziarati B (2016) Torque estimation of sensor less SRM drive using adaptive-fuzzy logic control. IEEE NW Russia Young Res Electr Electron Eng Conf 1:542–546
19.
go back to reference Xu A (2014) Modelling analysis of switched reluctance motor with ANFIS and D-FNN. In: 17th international conference on electrical machines and systems (ICEMS), Hangzhou, pp 697–700 Xu A (2014) Modelling analysis of switched reluctance motor with ANFIS and D-FNN. In: 17th international conference on electrical machines and systems (ICEMS), Hangzhou, pp 697–700
20.
go back to reference Yu C, Jingyuan Z (2010) Sensor less method research for SRM based on ANFIS. In: International conference on intelligent system design and engineering application, Changsha, pp 361–365 Yu C, Jingyuan Z (2010) Sensor less method research for SRM based on ANFIS. In: International conference on intelligent system design and engineering application, Changsha, pp 361–365
21.
go back to reference Krishnan R (2001) Electric motor drives: modeling, analysis, and control. Pearson, London Krishnan R (2001) Electric motor drives: modeling, analysis, and control. Pearson, London
Metadata
Title
Sensorless speed control of 6/4-pole switched reluctance motor with ANFIS and fuzzy-PID-based hybrid observer
Authors
L. Senthil Murugan
P. Maruthupandi
Publication date
07-01-2020
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 2/2020
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-019-00915-5

Other articles of this Issue 2/2020

Electrical Engineering 2/2020 Go to the issue