Skip to main content

Genetic Algorithm Optimized Direct Torque Control of Mathematically Modeled Induction Motor Drive Using PI and Sliding Mode Controller

  • Conference paper
  • First Online:
Recent Advances in Power Electronics and Drives

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 707))

Abstract

This research introduces a genetic algorithm optimization control technique to conventional PI controller that merges with the sliding mode control strategy for direct torque control in induction motor drive. This technique controls the rapid variation in motor speed to the optimum reference parameter for smooth operations. Here, genetic algorithm used for the tuning of PI control gains to get faster response toward steady state. Sliding mode controller is used to remove uncertainties due to sudden variations in motor speed which regulated in associated with the PI and GA. This complex controller helps in getting the full control on torque with switching converters and gets accurate outputs with respect to the reference parameters. The model is designed in MATLAB Simulink and genetic algorithm codes. Results indicate that the conventional PI controller gives fast steady state at normal operating conditions but the proposed technique of PI-SMC-GA is more effective and faster in variance and stability. ITAE from the different operating conditions is demonstrated in this paper and the results are compared according to the Simulink results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. M. Hajian, G.R. Arab Markadeh, J. Soltani, S. Hoseinnia, Energy optimized sliding-mode control of sensorless induction motor drives. Energy Convers. Manage. 50, 2296–2306 (2009)

    Article  Google Scholar 

  2. A. Chikhi, M. Djarallah, K. Chikh, A comparative study of field-oriented control and direct-torque control of induction motors using an adaptive flux observer. Serb. J. Electr. Eng. 7, 41–55 (2010)

    Article  Google Scholar 

  3. R. Abdelli, D. Rekioua, T. Rekioua, Performances improvements and torque ripple minimization for VSI fed induction machine with direct control torque. ISA Trans. 50, 213–219 (2011)

    Article  Google Scholar 

  4. P.R. Tripathy, B.P. Panigrahi, Simulation studies on switching table based DTC and fuzzy rule based DTC for three-phase squirrel cage induction motor. ETASR-Eng., Technol. & Appl. Sci. Res. 2(1) (2012)

    Google Scholar 

  5. M.V. Kazemia, M. Moradib, R.V. Kazemic, Minimization of powers ripple of direct power controlled DFIG by fuzzy controller and improved discrete space vector modulation. Electr. Power Syst. Res. 89, 23–30 (2012)

    Article  Google Scholar 

  6. C. Saravanan, J. Sathiswar, S. Raja, Performance of three phase induction motor using modified stator winding. Int. J. Comput. Appl. 46, 1–4 (2012)

    Google Scholar 

  7. R. Trabelsi, A. Khedher, M.F. Mimouni, M’sahli, F. , Backstepping control for an induction motor using an adaptive sliding rotor-flux observer. Electr. Power Syst. Res. 93, 1–15 (2012)

    Article  Google Scholar 

  8. I.M. Alsofyani, N.R.N. Idris, A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors. Renew. Sustain. Energy Rev. 24, 111–121 (2013)

    Article  Google Scholar 

  9. A. Derouich, A. Lagrioui, Real-time simulation and analysis of the induction machine performances operating at flux constant. Int. J. Adv. Comput. Sci. Appl. 5, 59–64 (2014)

    Google Scholar 

  10. L. Amezquita-Brooks, E. Liceaga-Castro, J. Liceaga-Castro, C.E. Ugalde-Loo, Flux-torque cross-coupling analysis of FOC schemes: Novel perturbation rejection characteristics. ISA Trans. 52, 446–461 (2015)

    Article  Google Scholar 

  11. N. Goel, R.N. Patel, S. Chacko, Torque ripple reduction of DTC IM drive using artificial intelligence, in International Conference on Electrical Power and Energy Systems (2016)

    Google Scholar 

  12. H.M.D. Habbi, H.J. Ajeel, I.A. Inaam, Speed Control of induction motor using PI and V/F scalar vector controllers. Int. J. Comput. Appl. 151, 36–43 (2016)

    Google Scholar 

  13. B.P. Ganthia, P.K. Rana, S.A. Pattanai, Space vector pulse width modulation fed direct torque control of induction motor drive using matlab-simulink, in Proceedings of the 3rd International Conference on Electrical, Electronics, Engineering Trends, Communication, Optimization and Sciences (EEECOS), Tadepalligudem, India (2016), pp. 1–2

    Google Scholar 

  14. N. El Ouanjli, A. Derouich, A. El Ghzizal, A. Chebabhi, M. Taoussi, A comparative study between FOC and DTC controls of the doubly fed induction motor (DFIM), in International Conference on Electrical and Information Technologies (IEEE, 2017)

    Google Scholar 

  15. N. El Ouanjli, A. Derouich, A. El Gzizal, Y. El Mourabet, B. Bossoufi, M. Taoussi, Contribution to the performance improvement of doubly fed induction machine functioning in motor mode by the DTC control. Int. J. Power Electron. Drive Syst. 8, 1117–1127 (2017)

    Google Scholar 

  16. A. Ammarn, A. Bourek, A. Benakcha, Nonlinear SVM-DTC for induction motor drive using input-output feedback linearization and high order sliding mode control. ISA Trans. 67, 428–442 (2017)

    Article  Google Scholar 

  17. S. Boubzizi, H. Abid, M. Chaabane, Comparative study of three types of controllers for DFIG in wind energy conversion system. Prot. Control Mod. Power Syst. 3(1), 21 (2018)

    Article  Google Scholar 

  18. F. Wang, Z. Zhang, X. Mei, J. Rodríguez, R. Kennel, Advanced control strategies of induction machine: Field oriented control, direct torque control and model predictive control. Energies 11(1), 120 (2018)

    Article  Google Scholar 

  19. B. Ganthia, S. Sahu, S. Biswal, A. Abhisekh, S. Kumar Barik, Genetic algorithm based direct torque control of VSI fed induction motor drive using MATLAB simulation. Int. J. Adv. Trends Comput. Sci. Eng. 8(5), 2359–2369 (2019)

    Google Scholar 

  20. M.M. Ali, W. Xu, M.F. Elmorshedy, Y. Liu, S.M. Allam, M. Dong, Sliding mode speed regulation of linear induction motors based on direct thrust control with space-vector modulation strategy, in 2019 22nd International Conference on Electrical Machines and Systems (ICEMS) (Harbin, China, 2019), pp. 1–6

    Google Scholar 

  21. S. Jnayah, A. Khedher, Sensorless direct torque control of induction motor using sliding mode flux observer, in 2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) (Sousse, Tunisia, 2019), pp. 536–541

    Google Scholar 

  22. S. Krim, S. Gdaim, A. Mtibaa, M. Faouzi Mimouni, FPGA-based real-time implementation of a direct torque control with second-order sliding mode control and input–output feedback linearisation for an induction motor drive. IET Electr. Power Appl. 14(3), 480–491 (2020)

    Google Scholar 

  23. W. Wang, H. Lin, H. Yang, W. Liu, S. Lyu, Second-order sliding mode-based direct torque control of variable-flux memory machine. IEEE Access 8, 34981–34992 (2020)

    Article  Google Scholar 

  24. B.P. Ganthia, A. Pritam, K. Rout, S. Singhsamant, J. Nayak, Study of AGC in two-area hydro-thermal power system, in Advances in Power Systems and Energy Management ed. by A. Garg, A. Bhoi, P. Sanjeevikumar, K. Kamani, Lecture Notes in Electrical Engineering, vol. 436 (Springer, Singapore, 2018)

    Google Scholar 

  25. B.P. Ganthia, R. Pradhan, S. Das, S. Ganthia, Analytical study of MPPT based PV system using fuzzy logic controller, in 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (Chennai, India, 2017), pp. 3266–3269

    Google Scholar 

  26. B.P. Ganthia, P.K. Rana, T. Patra, R. Pradhan, R. Sahu, Design and analysis of gravitational search algorithm based TCSC controller in power system. Mater. Today: Proc. 5(1), pp. 841–847 (2018). Part 1, ISSN 2214–7853. https://doi.org/10.1016/j.matpr.2017.11.155

  27. B.P. Ganthia, A. Abhisikta, D. Pradhan, A. Pradhan, A variable structured TCSC controller for power system stability enhancement. Mater. Today: Proc. 5(1), 665–672 (2018). Part 1, ISSN 2214–7853. https://doi.org/10.1016/j.matpr.2017.11.131

  28. B.P. Ganthia, S. Mohanty, P.K. Rana, P.K. Sahu, Compensation of voltage sag using DVR with PI controller, in Electrical Electronics and Optimization Techniques (ICEEOT) International Conference (2016), pp. 2138–2142

    Google Scholar 

  29. B.P. Ganthia, K. Rout, Deregulated power system based study of agc using pid and fuzzy logic controller Int. J. of Adv. Res. 4, 847–855. www.journalijar.co

  30. I. Takahashi, T. Noguchi, A new quick-response and high-efficiency control strategy of an induction motor. IEEE Trans. Ind. Appl. IA-22(5) (1986)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abha Pragati .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pragati, A., Ganthia, B.P., Panigrahi, B.P. (2021). Genetic Algorithm Optimized Direct Torque Control of Mathematically Modeled Induction Motor Drive Using PI and Sliding Mode Controller. In: Kumar, J., Jena, P. (eds) Recent Advances in Power Electronics and Drives. Lecture Notes in Electrical Engineering, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-15-8586-9_32

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-8586-9_32

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8585-2

  • Online ISBN: 978-981-15-8586-9

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics