Investigation of FPGA-based SPWM generator as a control mechanism for a PV/Battery full-bridge inverter The unipolar SPWM technique produces less harmonic distortion than the Bipolar method, with THD 45% lower The system implementation of SPWM Pulse generation has been validated on Xilinx Spartan 6 FPGA (XC6SLX45) board using VHDL code. The study presents circuitry modeling and methodology to integrate solar photovoltaic (PV) energy with grid (AC) sources to supplement household appliances during a power cut-off or restricted supply period and alternating charge deep cycle batteries. This paper discusses an FPGA-based Sinusoidal Pulse Width Modulation (SPWM) generator as a control mechanism for a PV/Battery full-bridge inverter. The inverter's efficacy is expressed as the Total Harmonic Distortion (THD) ratio, which must be as low as possible. Various schemes are proposed to reduce THD to generate a more sinusoidal output wave. SPWM is mostly used in industrial inverters. Two SPWM techniques, Bipolar and unipolar, are compared under a variety of Modulation Index (MI) conditions and Carrier Frequency (fc) to analyze the best performance of the full-bridge inverter with less (THD) and smoother output sinewave. The present paper discusses the results of a simulation for a single-phase full-bridge inverter employing bipolar and unipolar SPWM techniques. The output waveform demonstrates that the Unipolar SPWM technique produces less Total harmonic Distortion than the Bipolar method, with THD 45% lower. ISE 14.7 and Matlab 2019 are used to present, simulate SPWM generating code, and implement the design on a field-programmable gate array (FPGA), which acts as a controller for the Mosfet gates in the full-bridge inverter to constitute a sine wave without changing any hardware configuration in the circuit design. The system implementation of SPWM Pulse generation has been validated on Xilinx Spartan 6 FPGA (XC6SLX45) board using VHDL code. The final test on the system design for the SPWM generation program, after synthesis and compilation were finalized and verified on a prototype system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.