Design of a Single-Input Fuzzy PID Controller Based on Genetic Optimization Scheme for DC-DC Buck Converter

被引:0
作者
Yuan, Yubo [1 ]
Chang, Changyuan [1 ]
Zhou, Zhiqi [1 ]
Huang, Xiaomin [1 ]
Xu, Yang [1 ]
机构
[1] Southeast Univ, Sch Integrated Circuits, Nanjing, Jiangsu, Peoples R China
来源
2015 INTERNATIONAL SYMPOSIUM ON NEXT-GENERATION ELECTRONICS (ISNE) | 2015年
关键词
single-input fuzzy; PID controller; buck converter; genetic algorithm;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 lambda of the parallel diagonal lines in rule table to reduce the computational burden. The genetic algorithm is utilized to optimize the coefficient lambda 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.
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页数:4
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