2009
DOI: 10.1016/j.renene.2008.05.039
|View full text |Cite
|
Sign up to set email alerts
|

Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
40
0
1

Year Published

2011
2011
2019
2019

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 136 publications
(41 citation statements)
references
References 12 publications
0
40
0
1
Order By: Relevance
“…Among them, intelligent controllers such as FLC technique is presented as a reliable choice for this mission because since its first appearance in 1965, by Lotfi Zadeh, it witnessed rapid development and replaced almost all conventional techniques a wide range of applications [24].…”
Section: A Fuzzy Logic Control Techniquementioning
confidence: 99%
“…Among them, intelligent controllers such as FLC technique is presented as a reliable choice for this mission because since its first appearance in 1965, by Lotfi Zadeh, it witnessed rapid development and replaced almost all conventional techniques a wide range of applications [24].…”
Section: A Fuzzy Logic Control Techniquementioning
confidence: 99%
“…[19] In this context, we tried to enhance our system by integrating FL controllers, as shown in Figure 8. by upgrading the existing speed control system with an FL controller and adding a controlled DC-DC controller where it's duty cycle is computed by an MPPT algorithm based on FL technique.…”
Section: A General Overview On Applied Fl Controllers On the Systemmentioning
confidence: 99%
“…In this part, we present the different blocks we developed for our controllerFor the Fuzzification phase, based on the work presented in [24], we have divided the first input variable "E", which is the error between the speed reference and the measured one as given in (19), in seven fuzzy variables as shown in Figure 10. The second input variable "dE", which is the variation of the error given by (20), in three fuzzy variables as shown in figure 11.…”
Section: B Improvements Applied On Speed Control Systemmentioning
confidence: 99%
“…So the system cannot be easily controlled through conventional feedback controllers with fixed-gain. In addition, the power converter has important variations on its principal parameters, so, classical feedback controllers cannot compensate variations in the parameters of the system, and cannot be adapted to changes in the environment easily Gounden et al (2009). Therefore, nonlinear controller appears as a possibility to control reactive and active power.…”
Section: Invertermentioning
confidence: 99%