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Hardware Implementation of DSP-Based Sensorless Vector-Controlled Induction Motor Drive

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Abstract

Due to low-cost and high-reliability, induction motors have discovered significant applications for variable speed applications. The vector control method is used to achieve better dynamic response and use of induction motor for a wide range of speed variations. However, it uses shaft encoder for rotor speed estimation that suffers from added cost, measurement noise, and maintenance associated with them. To overcome these shortfalls, speed is estimated with the help of measured voltages and currents in sensorless vector-controlled drive. The rotor speed estimation method is based on a direct synthesis of induction motor state equations. Simulation of the drive is carried out using PSIM software. In order to validate the method, laboratory prototype is developed using DSP TMS320C2811 for 10 H.P. and 15 H.P. squirrel cage induction motor.

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References

  1. Raju Yanamshetti, Sachin S. Bharatkar, Debashis Chatterjee, and A.K. Ganguli, ‘A simple DSP based speed sensorless field oriented control of induction motor. International Journal of Modelling and Simulation of Systems’, Vol. 1, no. 4 (2010): 213–218.

    Google Scholar 

  2. Bimal Bose, ‘Modern Power Electronics and AC Drives’ Prentice Hall, (2001).

    Google Scholar 

  3. Paul C. Krause, Oleg Wasynczuk, Scott D, ‘Analysis of Electric Machinery and Drive Systems’, 2002.

    Google Scholar 

  4. J. Holtz, “Sensorless control of induction motor drives,” in Proceedings of the IEEE, vol. 90, no. 8, pp. 1359–1394, Aug 2002.

    Google Scholar 

  5. J. Holtz and Juntao Quan, “Sensorless vector control of induction motors at very low speed using a nonlinear inverter model and parameter identification,” in IEEE Transactions on Industry Applications, vol. 38, no. 4, pp. 1087–1095, Jul/Aug 2002.

    Google Scholar 

  6. E. D. Mitronikas and A. N. Safacas, “An improved sensorless vector-control method for an induction motor drive,” in IEEE Transactions on Industrial Electronics, vol. 52, no. 6, pp. 1660–1668, Dec. 2005.

    Google Scholar 

  7. C. Caruana, G. M. Asher and M. Sumner, “Performance of HF signal injection techniques for zero-low-frequency vector control of induction Machines under sensorless conditions,” in IEEE Transactions on Industrial Electronics, vol. 53, no. 1, pp. 225–238, Feb. 2006.

    Google Scholar 

  8. R. Raute et al., “A review of sensorless control in induction machines using hf injection, test vectors and PWM harmonics,” 2011 Symposium on Sensorless Control for Electrical Drives, Birmingham, 2011, pp. 47–55.

    Google Scholar 

  9. N. C. Park and S. H. Kim, “Simple sensorless algorithm for interior permanent magnet synchronous motors based on high-frequency voltage injection method,” in IET Electric Power Applications, vol. 8, no. 2, pp. 68–75, February 2014.

    Google Scholar 

  10. I. Benlaloui, S. Drid, L. Chrifi-Alaoui and M. Ouriagli, “Implementation of a New MRAS Speed Sensorless Vector Control of Induction Machine,” in IEEE Transactions on Energy Conversion, vol. 30, no. 2, pp. 588–595, June 2015.

    Google Scholar 

  11. Texas Instruments, ‘Digital Motor Control Software Library’, October 2003.

    Google Scholar 

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Correspondence to Rajendrasinh Jadeja .

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Appendix

Appendix

Parameter of 10 HP Induction motor:

  • R s  = 0.7215 Ω, R r  = 0.4357 Ω, L ls = 0.003351 H, L lr = 0.003351 H, L m  = 0.1694 H, L s  = 0.172751 H, L r  = 0.172751 H, Moment of Inertia (MI) = 0.0980 J.

Parameter of 15 HP Induction motor:

  • R s  = 0.4748 Ω, R r  = 0.1900 Ω, L ls = 0.0028745 H, L lr = 0.0028745 H, L m  = 0.06838 H,

  • L s  = 0.0712545 H, L r  = 0.0712545 H, Moment of Inertia (MI) = 0.229 J.

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Jadeja, R., Yadav, A.K., Trivedi, T., Chauhan, S.K., Patel, V. (2017). Hardware Implementation of DSP-Based Sensorless Vector-Controlled Induction Motor Drive. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_68

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  • DOI: https://doi.org/10.1007/978-981-10-3174-8_68

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