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Torque Ripple Minimization of Permanent Magnet Brushless DC Motor Using Genetic Algorithm

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Power Electronics and Instrumentation Engineering (PEIE 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 102))

Abstract

Permanent Magnet Brushless motor DC (PMBLDC) motor is rapidly gaining popularity and are widely used in industries such as aerospace, consumer, medical, industries, automation equipment and instrumentation because of their important characteristic like high power density, Torque-inertia ratio, small size, higher efficiency. One main problem in the PMBLDC motor is the torque ripple which causes undesirable acoustic noise and vibration which affects the overall performance of the machine. The proposed work aims at minimization of torque ripple in PMBLDC motor using Genetic Algorithm (GA). By using L-C Filter ripple is minimized and PID Controller is tuned using GA.

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References

  1. Miller, T.J.E. (ed.): Brushless Permanent Magnet and Reluctance Drives, Clarendon, Oxford (1989); Bose, B.K.: Modern power electronics and AC drives. Prentice Hall, New Delhi

    Google Scholar 

  2. David, I., Goldberg, E.: Genetic Algorithms in search, optimization and machine learning. Addison-Wesley publications, Reading (1993)

    MATH  Google Scholar 

  3. Jeon, Y.S., Mok, H.S., Choe, G.H., Kim, D.K., Ryu, J.S.: A New Simulation Model of BLDC Motor With Real Back EMF Waveform. In: The 7th Workshop on Computers in Power Electronics, COMPEL 2000, pp. 217–220 (July 2000)

    Google Scholar 

  4. Hao, L., Toliyat, H.A.: BLDC Motor Full Speed Range Operation Including the Flux – Weakening Region. In: 38th IAS Annual Meeting. Conference, Record of the Industry Applications Conference, vol. 1, pp. 618–624 (October 2003)

    Google Scholar 

  5. Pillay, P., Krishnan, R.: Modeling, simulation, and analysis of permanent-magnet motor drives, part II: The brushless dc motor drive. IEEE Trans. Ind. Appl. IA-25(2), 274–279 (1989)

    Article  Google Scholar 

  6. Bianchi, N., Bolognani, S.: Design optimization of electric motors by genetic algorithm. IEE Proceedings on Electric Power Application 145(6) (September 1998)

    Google Scholar 

  7. Ishikawa, T.: A method of reducing ripple torque in permanent magnet motors without skewing. IEEE Trans. Magn. 29(2), 2028–2031 (1993)

    Article  Google Scholar 

  8. Kumar, P., Bauer, P.: Delft University of Technology, Mekelweg 4, 2628CD Delft, The Netherlands MULTI-OBJECTIVE optimization of BLDC motor. In: 10th International Symposium on Mechatronics, Mechatronika 2007, Trenčianske Teplice, Slovakia, June 6-8 (2007)

    Google Scholar 

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Kaliappan, E., Sharmeela, C. (2010). Torque Ripple Minimization of Permanent Magnet Brushless DC Motor Using Genetic Algorithm. In: Das, V.V., Stephen, J., Thankachan, N. (eds) Power Electronics and Instrumentation Engineering. PEIE 2010. Communications in Computer and Information Science, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15739-4_9

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  • DOI: https://doi.org/10.1007/978-3-642-15739-4_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15738-7

  • Online ISBN: 978-3-642-15739-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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