Performance optimization for LDO regulator based on the differential evolution

被引：0

作者：

Li, Jintao ^{[1
]}

Zeng, Yanhan ^{[1
]}

Wu, Hailong ^{[1
]}

Li, Ruguo ^{[1
]}

Zhang, Jun ^{[2
]}

Tan, Hong-Zhou ^{[3
]}

机构：

[1] Guangzhou Univ, Sch Phys & Elect Engn, Guangzhou, Peoples R China

[2] Guangdong Univ Technol, Sch Informat Engn, Guangzhou, Peoples R China

[3] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou, Peoples R China

来源：

2019 IEEE 13TH INTERNATIONAL CONFERENCE ON ASIC (ASICON) | 2019年

基金：

中国国家自然科学基金;

关键词：

LDO; Differential Evolution; Multiobjective optimization algorithm; Circuit optimization; PARAMETER OPTIMIZATION;

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：

An application of differential evolution for parameter optimization in the low dropout regulator (LDO) is presented in this paper. The parameters optimization by manual work for the analog integrated circuit, such as LDO, is laborious and time-consuming, and it is uncertain to find the relatively good result. In this paper, the differential evolution is used to optimize the parameters and find the relatively good performance of LDO. In order to improve the convergence speed and optimization effect, a new constraint solution and a fast weight-based non-dominated sorting method are proposed. Simulation results show that the gain-bandwidth product,load regulation and line regulation are improved by 206.5%, 58.1% and 87.6%, respectively, compared with the manual solution.

引用

页数：4

共 7 条

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