Self- tuning Fuzzy PID controller on DC/DC Converter based on SA-GA
Jiancheng Zhou, Qingyong Zhang, Yihao Wan
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.139How to use a DOI?
- DC/DC Converter, Simulated Annealing, Genetic Algorithm, Fuzzy PID, MATLAB Simulation
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icmmct-16.2016.139 ID - Zhou2016/03 ER -