Field programmable gate array implementation of a single-input fuzzy proportional–integral–derivative controller for DC–DC buck converters

The design and field programmable gate array implementation of a single-input fuzzy (SIF) proportional–integral–derivative (PID) control scheme applied to DC–DC buck converters are presented. The SIF logic reduces the number of fuzzy rules and therefore the hardware resource occupancy without contro...

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Veröffentlicht in:IET power electronics Jg. 9; H. 6; S. 1259 - 1266
Hauptverfasser: Chang, Changyuan, Yuan, Yubo, Jiang, Tianlin, Zhou, Zhongjie
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 18.05.2016
Schlagworte:
Buck converters
control performance
Controllers
dc‐dc buck converters
DC‐DC power convertors
DIF controller
double‐input fuzzy controller
field programmable gate array implementation
Field programmable gate arrays
FPGA
Fuzzy control
Fuzzy logic
fuzzy rules
fuzzy set theory
genetic algorithm
genetic algorithms
hardware resource occupancy
inference rules
one‐dimension rule vectors
PID control scheme
Proportional integral derivative
SIF logic
signed distance method
single‐input fuzzy proportional‐integral‐derivative controller
system response curve
Tables
three‐term control
Toeplitz structure
Two dimensional
two‐dimension rule tables
vectors
field programmable gate array implementation
field programmable gate arrays
FPGA
fuzzy set theory
signed distance method
fuzzy control
genetic algorithm
hardware resource occupancy
DIF controller
system response curve
PID control scheme
dc-dc buck converters
one-dimension rule vectors
three-term control
inference rules
fuzzy rules
genetic algorithms
two-dimension rule tables
DC-DC power convertors
vectors
double-input fuzzy controller
SIF logic
single-input fuzzy proportional-integral-derivative controller
control performance
Toeplitz structure
ISSN:1755-4535, 1755-4543
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Beschreibung
Zusammenfassung:The design and field programmable gate array implementation of a single-input fuzzy (SIF) proportional–integral–derivative (PID) control scheme applied to DC–DC buck converters are presented. The SIF logic reduces the number of fuzzy rules and therefore the hardware resource occupancy without control property degradation compared with the double-input fuzzy (DIF) controller, which is realised by transforming the two-dimension rule tables into one-dimension rule vectors using signed distance method and genetic algorithm. The adopted signed distance method requires the two-dimension rule tables to be of Toeplitz structure, which is realised by establishing the inference rules through analysing the system response curve. The fuzzy logic regulates the PID parameters based on the conditions of the power converters. As a result, the SIF-PID controller is superior to the conventional PID controller and is similar to DIF-PID controller in terms of the control performance. The proposed controller has been validated with simulation and experimental results.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1755-4535
1755-4543
DOI:10.1049/iet-pel.2015.0688