doi:10.16186/j.cnki.1673-9787.2020.5.16

Received:2019/12/08

Revised:2020/03/19

Published:2020/09/15

Variable-domain fuzzy neural PI control for LLC resonant converter

HU Zhiguo1, HU Hongwei1, AI Yongle1, CHU Yanwei2

1.School of Electrical Engineering and Automation， Henan Polytechnic University， Jiaozuo  454000 ， Henan， China;2.Gree Electric Appliances Inc. of Zhuhai， Zhuhai  519000 ， Guangdong，China

Abstract:LLC resonant converter has many advantages such as high power density， high efficiency， easy to realize soft switch in full load range， etc. ， and has been widely used. However， due to the characteristics of LLC resonant converter such as strong nonlinearity and difficulty in obtaining accurate mathematical model， the traditional PI control cannot get good control performance. To improve the control performance of LLC resonant converter， a fuzzy neural PI controller was designed based on the theory of fuzzy control， neural network control and variable domain. On the basis of fuzzy control， the distribution of fuzzy membership function was optimized by introducing neural network， and the utilization rate of fuzzy rules was improved by introducing scaling factor of variable domain theory. Finally， the performance of the designed variable -domain fuzzy neural PI controller in the closed-loop control of LLC resonant converter was studied. The results showed that the variable-domain fuzzy neural PI controller designed in this paper had the advantages of small overshoot and fast dynamic response ，and its control performance was better than that of conventional PI control and fuzzy PI control.

Key words:LLC resonant converter;fuzzy control;artificial neural network;variable domain theory;scaling factor

LLC谐振变换器变论域模糊神经PI控制研究_胡治国.pdf