Implementation of DSP Based Voltage Source Inverter (VSI) by using Sinusoidal Pulse Width Modulation Technique
Baireddy Ekanath Reddy1, J Praveen2, Vinay Kumar A3
1BaiReddy Ekanath Reddy, Student EEE, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India.
2J Praveen, Principal and Professor, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India.
3Vinay Kumar A, Associate Professor, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India.
Manuscript received on 08 March 2019 | Revised Manuscript received on 14 March 2019 | Manuscript published on 30 July 2019 | PP: 4176-4180 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3262078219/19©BEIESP | DOI: 10.35940/ijrte.B3262.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with theoretical and practical outlook related to implementation of a Digital signal processor (DSP) based on Sinusoidal Pulse Width Modulation (SPWM). For single phase inverter, sine wave is taken as reference signal and saw tooth is taken as carrier signal. It is developed by TMS320F28027 piccolo TM microcontroller with the help of simulink model. TI Texas instrument TMS320 is a blanket name for a series of DSP from Texas instrument. Through the TMS32010 processor which was faster in the DSP market and we use C2000 series microcontroller family with performance integrated peripherals designed for real – time control applications like motor drive control, industrial automation, solar and other renewable energy sources. The voltage source inverter is used in motor speed control and in solar, wind power grids. The system is verified by experimenting in simulation.
Index Terms: Digital Signal Processor (DSP), Sinusoidal Pulse Width Modulation (SPWM), Total Harmonic Distortion (THD), Voltage Source Inverter (VSI).
Scope of the Article: Digital Signal Processing Theory