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Artificial Intelligence-Based Real-Time Control of Induction Motor Using dSPACE Controller

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Advances in Automation, Signal Processing, Instrumentation, and Control (i-CASIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 700))

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Abstract

Robustness, cost, reliability and effectiveness are the important characteristics of the induction motor (IM). IM is generally controlled by v/f-based SVPWM voltage source inverter (VSI). In industry, PI controllers are the best choice due to simple and robust performance at wide range of operation. This paper tends to show simulation of PI, FLC, ANN and ANFIS using MATLAB/Simulink and their real-time implementation using dSPACE controller. Simulation results are analyzed with the practical results, thereby confirming the performance of AI-based induction motor drive (IMD).

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References

  1. Dyck Derek N, Gilbert Geoff, Lowther David A (2010) A performance model of an induction motor for transient simulation with a PWM drive. IEEE Trans Magn 46(8):3093–3096

    Article  Google Scholar 

  2. Mishra RN, Mohanty KB (2016) Real time implementation of An ANFIS-based induction motor drive via feedback linearization for performance enhancement. Elsevier Int J Eng Sci Technol 19:1714–1730

    Google Scholar 

  3. Abdesh Khan M, Nasir Uddin M, Rahman MA (2011) Real time performance investigation of an intelligent controller based speed control of induction motor drives. In: IEEE international conference electric machines & drives, 2011, pp 164–169

    Google Scholar 

  4. Saad N, Arrofiq M (2012) A PLC-based modified-fuzzy controller for PWM-driven induction motor drive with constant V/Hz ratio control. Elsevier J Rob Comput-Int Manuf 28:95–112

    Google Scholar 

  5. Mohan N (2001) Advanced electric drives: analysis, control modeling using simulink, 1st edn. MNPERE Publication

    Google Scholar 

  6. Krause PC (2000) Analysis of electrical machinery and drives system. IEEE Willey Press

    Google Scholar 

  7. Menghal PM, Jaya Laxmi A (2013) Adaptive neuro fuzzy based dynamic simulation of induction motor drives. In: International conference on fuzzy system, (FUZZ 2013),7th–10th July 2013, pp 1–8

    Google Scholar 

  8. Abbou A, Nasser T, Mahmoudi H, Akherraz M, Essadki A (2012) Induction motor/controls and Implementation using dSPACE. WSEAS Trans on Syst An//d Control 1(7):26–35

    Google Scholar 

  9. Suetake M, da Silva IN, Goedtel A (2011) Embedded DSP-based compact fuzzy system and its application for induction-motor V/f speed control. IEEE Trans Ind Electron 58(3):750–760

    Google Scholar 

  10. Arulmozhiyal R, Baskaran K, Devarajan N, Kanagaraj J (2010) Real time MATLAB Interface for speed control of Induction motor drive using dsPIC 30F4011. Int J Comput Appl 1(5):85–90

    Google Scholar 

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Correspondence to P. M. Menghal .

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Appendix A

Appendix A

Parameters of induction motor:

1 HP, 3-phase, 415 V, 50 Hz, 1440 rpm, star connected induction machine

Stator resistance Rs = 10.1 Ω,

Stator reactance Xs = 15.81 Ω,

Rotor resistance Rr’ = 9.8546 Ω,

Rotor reactance Xr’ = 15.81 Ω

Mutual reactance Xm = 245.8954 Ω.

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Menghal, P.M., Jaya Laxmi, A. (2021). Artificial Intelligence-Based Real-Time Control of Induction Motor Using dSPACE Controller. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_75

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  • DOI: https://doi.org/10.1007/978-981-15-8221-9_75

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8220-2

  • Online ISBN: 978-981-15-8221-9

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