Design of a single-input fuzzy PID controller based on genetic optimization scheme for DC-DC buck converter

Author

Yubo Yuan ; Changyuan Chang ; Zhiqi Zhou ; Xiaomin Huang ; Yang Xu

Author_Institution

Sch. of Integrated Circuits, Southeast Univ. Nanjing, Nanjing, China

fYear

2015

fDate

4-6 May 2015

Firstpage

1

Lastpage

4

Abstract

A single-input fuzzy PID (SIF-PID) controller is proposed in this paper to improve the dynamic performance of dc-dc buck converter. The fuzzy logic adjusts the three parameters of PID controller adaptively by detecting the output voltage. Establishment of double-input rule table with Toeplitz structure is presented by analysising the system response curve. One-dimension rule vectors are derived based on the slope λ of the parallel diagonal lines in rule table to reduce the computational burden. The genetic algorithm is utilized to optimize the coefficient λ to guarantee the simplified rule vectors are equivalent to the original rule table in terms of control performance. Effectiveness of the proposed controller is validated by simulation results.

Keywords

DC-DC power convertors; Toeplitz matrices; adaptive control; fuzzy control; genetic algorithms; three-term control; DC-DC buck converter; SIF-PID controller; Toeplitz structure; double-input rule table; fuzzy logic; genetic algorithm; genetic optimization scheme; one-dimension rule vectors; parallel diagonal lines; simplified rule vectors; single-input fuzzy PID controller; system response curve; Fuzzy logic; Genetic algorithms; Genetics; Niobium; Optimization; Simulation; Voltage control; PID controller; buck converter; genetic algorithm; single-input fuzzy;

fLanguage

English

Publisher

ieee

Conference_Titel

Next-Generation Electronics (ISNE), 2015 International Symposium on

Conference_Location

Taipei

Type

conf

DOI

10.1109/ISNE.2015.7131965

Filename

7131965