• MITHUN GOWDA B
• Arpitha Raju B

This paper represents the implementation of ANN based on Space Vector Pulse Width Modulation (SVPWM) which is a good PWM technique for an inverter used in variable frequency drive applications. It is estimated for accurate control of the inverter switching frequency. The advantage of an artificial neural network is it has quick time response of an SVPWM algorithmic rule which will increase the inverter switching frequency. This paper proposes a neural Network based SVPWM technique for a three-phase voltage supply inverter under modulation technique. Even Motor drive system also suffers 2nd harmonic ripple issue. This problem is solved by Power decoupling control technique. The main aim is to maintain power factor at unity of the converter and inverter and which is designed with 12 switches. The proposed work has been simulated and implemented with the MATLAB/Simulink R2015.

SVPWM, ANN, Switching Frequency, harmonic ripple, motor drive, power de-coupling control

"Implementation of Bi-Directional Power Flow Motor Drive Controlled by Intelligent Modulation Controller", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.926-931, June 2019, Available :http://www.jetir.org/papers/JETIR1906U25.pdf

"Implementation of Bi-Directional Power Flow Motor Drive Controlled by Intelligent Modulation Controller", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp926-931, June 2019, Available at : http://www.jetir.org/papers/JETIR1906U25.pdf