A Multilevel Inverter for Photovoltaic Systems With Fuzzy Logic Control

By Carlo Cecati, F. Ciancetta, Pierluigi Siano. IEEE transactions on industrial electronics (1982. Print), 2010

458 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/24ab79f38cb17dc0a62b98ed23122a4062f8f682

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

A Selective Harmonic Elimination Method for Five-Level Converters for Distributed Generation (2017, background): “[5] proposed a single phase nine-level inverter with full fuzzy logic control and power-sharing algorithm;”
Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching (2014, background): “TYPE-1 fuzzy control approach has been successfully applied to a wide range of domestic and industrial control applications, which demonstrate that it is a promising control approach for complex nonlinear plants [1]–[4].”
A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition (2013, methodology): “technique, in particular the fuzzy logic control (FLC) for MPPT [16]–[18].”
Energy-Balance Control of PV Cascaded Multilevel Grid-Connected Inverters Under Level-Shifted and Phase-Shifted PWMs (2013, background): “[12], which suggests a fuzzy control approach to implement an extended version of this strategy allowing reactive power control, the aforementioned controllers have been typically designed by continuous-time linear control techniques.”
Design and Implementation of a New Multilevel Inverter Topology (2012, background): “Therefore, the number of switches in the proposed topology that conduct the circuit current is lower than that of the cascade [33] inverter, and hence, it has a better efficiency.”
Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method (2015, methodology): “Artificial intelligence techniques, such as fuzzy logic control (FLC) and artificial neural network (ANN) methods, have been popular among researchers [22]–[25].”