Neuro Fuzzy Type-2 Based Space Vector Modulation for Inverter Fed Induction Motor Drive
Srinivas Gadde1 , G .Durga Sukumar2

1Srinivas Gadde, Electrical & Electronics Engineering,Vignan’s Foundation for Science, Technology & Research, Guntur, India.
2G Durga Sukumar , Electrical & Electronics Engineering, Vignan Institute of technology and science Yadadri (D),T.S, India.

Manuscript received on 01 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 5803-5810 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4955098319/2019©BEIESP | DOI: 10.35940/ijrte.C4955.098319
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Abstract: In indirect vector control the conventional speed and current controllers operate satisfactory when the operating point is constant. But the operating point is always dynamic, the reference voltages obtained in a closed loop system feding to the inverter contains more harmonics. Due to this the pulses which are going to produce are uneven. Which intern produces the inverter output voltages which are more harmonics contained. In order to produce the better output voltage from the inverter, this paper presents neuro-fuzzy type-2 space vector modulation (NFT2) technique .A performance comparison of the inverter is done with conventional space vector modulation(SVM) and neuro fuzzy type- 1(NFT1) system using matlab simulation & experimental validation. The performance parameters of the induction motor based on current, torque and speed with neuro-fuzzy type-2 space vector modulation is compared with conventional and type-1neuro fuzzy SVM. The % THD of inverter output voltages are also compared .The experimental validation a dspace-1104 is used to analyze performance of induction motor which is obtained by the simulation. The experimental validations are carried out considering 2HP Induction motor in the lab
Keywords: Indirect Vector Control, Neuro Fuzzy type-2 Controller (NFT2), Neuro Fuzzy type-1 Controller (NFT1),Space Vector Modulation (SVM), Induction Motor (IM), Third Harmonic Distortion (THD).

Scope of the Article:
Fuzzy Logics