High-power density switched reluctance machine development for high-speed spindle applications

High-power density switched reluctance machine development for high-speed spindle applications

In this study, a high-speed switched reluctance machine (HS-SRM) with cobalt-iron lamination material is proposed for spindle motors, which are used in computer numerical control machines. Wide torque-speed range, high power density, high efficiency, and low cost are the crucial issues in spindle applications. Three types of electric machine candidates, the permanent magnet synchronous machine (PMSM), induction machine (IM), and switched reluctance machine (SRM), are compared with their outstanding features. The SRM spindle motor will offer a more robust, reliable, compact, and cost-effective solution compared to the IM or PMSM spindle applications. Moreover, advancement on cobalt-iron laminations gives a chance to the SRM for competing with the PMSM and IM in terms of power density and efficiency. In this study, a high-speed SRM is designed, optimized, and analyzed. Its performance metrics are obtained based on torque-speed range and efficiency over a wide speed range. The proposed SRM is compared with existing industrial products in terms of power densities. Then the design is verified via experimental study. The results show that the HS-SRM with cobalt-iron lamination material offers ultimate power density and efficiency in wide operating conditions.

___

  • Yasa Y, Sincar E, Ertugrul BT, Mese E. A multidisciplinary design approach for electromagnetic brakes. Electr Pow Syst Res 2016; 141: 165-178.
  • Radun AV. Design considerations for the switched reluctance motor. IEEE T Ind Appl 1995; 31: 1079-1087.
  • Yang Z, Shang F, Brown IP, Krishnamurthy M. Comparative study of interior permanent magnet, induction, and switched reluctance motor drives for EV and HEV applications. IEEE T Transport Electrific 2015; 1: 245-254.
  • Soong WL, Kliman GB, Johnson RN, White R, Miller J. Novel high speed induction motor for a commercial centrifugal compressor. In IEEE Industry Applications Conference, 34th IAS Annual Meeting; 3–7 October 1999; Phoenix, AZ, USA. New York, NY, USA: IEEE. pp. 494-501.
  • Hofmann H, Sanders SR. High-speed synchronous reluctance machine with minimized rotor losses. IEEE T Ind Appl 2000;36: 531-539.
  • MacMinn SR, Jones WD. A very high speed switched-reluctance starter-generator for aircraft engine applications. In: IEEE National Aerospace & Electronics Conference; 22–26 May 1989; Dayton, OH, USA. New York, NY, USA: IEEE. pp. 1758-1764.
  • Hendershot JR. High speed permanent magnet brushless motors for spindles and compressors. In: Incremental Motion Control Systems Society 1996; Hillsboro, OH, USA. pp. 123-146.
  • Laboid C, Srairi K, Mahdad B, Benchouia MT, Benbouzid M. Speed control of 8/6 switched reluctance motor with torque ripple reduction taking into account magnetic saturation effects. In: Elsevier International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability; 17–21 April 2015; Beirut, Lebanon. Amsterdam, the Netherlands: Elsevier. pp. 112-121.
  • Moghaddam RR. High speed operation of electrical machines, a review on technology, benefits and challenges. In: IEEE Energy Conversion Congress and Exposition; 14–18 September 2014; Pittsburgh, PA, USA. New York, NY, USA: IEEE. pp. 5539-5546
  • Mahmoudi A, Soong WL, Pellegrino G, Armando E. Efficiency maps of electrical machines. In: IEEE Energy Conversion Congress and Exposition; 20–24 September 2015; Montreal, Canada. New York, NY, USA: IEEE. pp. 2791-2799.
  • Lawrenson PJ, Stephenson JM, Blenkinsop PT, Corda J, Fulton NN. Variable-speed switched reluctance motors. IET Electr Power App 1980; 127: 253-265.
  • Staton D. Enhancements in the electric machine cooling analysis. In: Motor and Drive Systems Conference; 29–30 January 2014; Orlando, FL, USA. pp. 1-34.
  • Bartoli M, Noferi N, Reatti A, Kazimierczuk MK. Modeling Litz-wire winding losses in high-frequency power inductors. In: IEEE Annual Power Electronics Specialists Conference; 23–27 June 1996; Baveno, Italy. New York, NY, USA: IEEE. pp. 1690-1696..
  • Reddy PB, Jahns TM. Analysis of bundle losses in high speed machines. In: IEEE International Power Electronics Conference; 21–24 June 2010; Sapporo, Japan. New York, NY, USA: IEEE. pp. 2181-2188.
  • Binder A. High speed drives-tutorial. In: IEEE International Conference on Electrical Machines; 2–5 September 2014; Berlin, Germany. New York, NY, USA: IEEE.
  • Tenconi A, Vaschetto S, Vigliani A. Electrical machines for high-speed applications: design considerations and tradeoffs. IEEE T Ind Electron 2014; 61: 3022-3029.
  • Binder A, Schneider T. High-speed inverter-fed AC drives. In: IEEE 2007 International Aegean Conference on Electric Machines and Power Electronics; 10–12 September 2007; Ankara, Turkey. New York, NY, USA: IEEE. pp.9-16.
  • Munteanu G, Binder A, Schneider T. Loss measurement of a 40 kW high-speed bearingless PM synchronous motor. In: IEEE Energy Conversion Congress and Exposition; 17–22 September 2011; Phoenix, AZ, USA. New York, NY, USA: IEEE. pp. 722-729.
  • Binder A, Schneider T, Klohr M. Fixation of buried and surface mounted magnets in high-speed permanent magnet synchronous motors. In: IEEE 2005 IAS Annual Meeting; 2–6 October 2005; Kowloon, Hong Kong. New York, NY, USA: IEEE. pp. 2843-2848.
  • Tursini M, Villani M, Fabri G, Di Leonardo L. A switched-reluctance motor for aerospace application: design, analysis and results. Electr Pow Syst Res 2017; 142: 74-83.
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Sayıdaki Diğer Makaleler

Implementing universal dependency, morphology, and multiword expression annotation standards for Turkish language processing

Umut SULUBACAK, Gül¸sen ERYİĞİT

Bagged tree classification of arrhythmia using wavelets for denoising, compression, and feature extraction

Özgür TOMAK, Temel KAYIKÇIOĞLU

Hardware Trojan detection and localization based on local detectors

Amin BAZZAZI, Mohammad Taghi MANZURI SHALMANI, Ali Mohammad Afshin HEMMATYAR

Probabilistic dynamic security assessment of large power systems using machine learning algorithms

Veysel Murat Istemihan GENC, Sevda JAFARZADEH

Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity

Muhammad Noorazlan Shah ZAINUDIN, Nasir SULAIMAN, Norwati MUSTAPHA, Thinagaran PERUMAL, Raihani MOHAMED

High-speed data deduplication using parallelized cuckoo hashing Jane

Jane Rubel Angelina JEYARAJ, Sundarakantham KAMBARAJ, Velmurugan DHARMARAJAN

Topological feature extraction of nonlinear signals and trajectories and its application in EEG signals classification

Hamid Reza KOBRAVI, Ali MOGHİMİ, Saleh LASHKAR, Mohammad Reza HASHEMI GOLPAYEGAN, Ali SHEIKHANI

Ab initio study of the structural, electronic, and magnetic properties of Co2FeGa and Co2FeSi and their future contribution to the building of quantum devices

Badra BOUABDALLAH, Abdallah OUMSALEM, Yamina BOUREZIG, Zakia NABI

Will it pass? Predicting the outcome of a source code review

Çağda¸s Evren GEREDE, Zeki MAZAN

Effect of intuitionistic fuzzy normalization in microarray gene selection

Premalatha KANDHASAMY, Prema RAMASAMY