Fuzzy Logic - Tool for Getting Accurate Solutions 2015
DOI: 10.5772/59810
|View full text |Cite
|
Sign up to set email alerts
|

Self-Tuning Fuzzy PI Controller (STFPIC)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2017
2017

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 17 publications
0
1
0
Order By: Relevance
“…Ri: if e = E and Δe = ΔE then Δu = ΔU (19) Fuzzy rules are mainly constructed based on information about the control system and operation principles and there is no definite technique for defining the rules. For the control system presented, the output Δu can be computed based on the rules stated on a twodimensional phase plane as shown in Table 2 [29,32]. It is clear from this table that the fuzzy-PI controller has 49 control rules as both inputs (e, Δe) have seven fuzzy sets.…”
Section: Current Controller Based On Fuzzy-pimentioning
confidence: 99%
“…Ri: if e = E and Δe = ΔE then Δu = ΔU (19) Fuzzy rules are mainly constructed based on information about the control system and operation principles and there is no definite technique for defining the rules. For the control system presented, the output Δu can be computed based on the rules stated on a twodimensional phase plane as shown in Table 2 [29,32]. It is clear from this table that the fuzzy-PI controller has 49 control rules as both inputs (e, Δe) have seven fuzzy sets.…”
Section: Current Controller Based On Fuzzy-pimentioning
confidence: 99%