Self- tuning Fuzzy PID controller on DC/DC Converter based on SA-GA

DOI

10.2991/icmmct-16.2016.139How to use a DOI?

Keywords

DC/DC Converter, Simulated Annealing, Genetic Algorithm, Fuzzy PID, MATLAB Simulation

Abstract

Modern DC/DC Converter has characteristics of high efficiency, good output noise and low voltage ripple. It is wildly used in communication, computer, industry automation, military and aerospace. However, due to its strong nonlinear, time dependent and uncertain system, to some extent, conventional PID control method can improve the performance of DC/DC converters, the parameter turning is rather complex and hard to get the best performance of DC/DC converter. This paper presents a method of combining simulated annealing genetic algorithm and fuzzy PID in DC/DC converter, giving fully play to the robustness and self-adaptive ability of PID, with simultaneous intelligent parameter search. Simulated annealing genetic algorithm overcome the defects of local optimization and premature convergence. The proposed self-optimizing fuzzy PID controller is implemented by simulating BUCK circuit on matlab. It is shown that the system achieves good self-adaptiveness, fast response, low overshoot and strong robustness.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiancheng Zhou
AU  - Qingyong Zhang
AU  - Yihao Wan
PY  - 2016/03
DA  - 2016/03
TI  - Self- tuning Fuzzy PID controller on DC/DC Converter based on SA-GA
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 718
EP  - 724
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.139
DO  - 10.2991/icmmct-16.2016.139
ID  - Zhou2016/03
ER  -