Modified Fuzzy Based Multi Input Converter for DC/AC Conversation with Buck/Boost Capabilities

Authors:-Yelisetti Ganesh Kumar, Dr.T Srinivasa Rao, P Varahala Dora

Abstract:- The proposal a new family of multi-input and multiple-output converters based on three switches leg is introduced. Inputs of the proposed converters are similar and they are topologically interchangeable and have boost or buck operation modes. The proposed converter has multiple output which operates as an inverter. A multiple-input multiple output dc–dc converter topology is proposed. This converter is able to accommodate an arbitrary number of sources and loads. The steady-state and dynamic characteristics of the proposed converter are analyzed. A controller scheme is proposed that enables budgeting the input powers coming from different energy sources, in addition to regulating the output voltages. Loss and efficiency modeling and sensitivity analysis to the underlying parameters are performed. Several case studies are presented to verify the analytical models and evaluate the performance of the proposed converter. Multi terminal converters eliminate using several single-input-single output converters and simplify their topologies and reduce their cost. In this paper, a new family of multi-input converters based on three switches leg is introduced. Inputs of the proposed converters are similar and they are topologically interchangeable and have boost or buck operation modes. The proposed converter has one output which operates as an inverter. Here, all operating modes of the proposed converters and their effects on each other are investigated, in details. Also, an appropriate switching technique for the converters is given. A detailed comparison between conventional and proposed two-input converters is also presented. A two-input, one-output prototype converter has been implemented to validate the given analyses and to verify the proposed converter’s performance. The experimental results are in good agreement with the theoretical and simulated analyses.