Performance optimization for LDO regulator based on the differential evolution
Authors:
- 1 October 2019
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-4
Abstract
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.Keywords
This publication has 6 references indexed in Scilit:
- Performance optimization for the CMOS voltage reference circuit based on NSGA-II2018
- Parallel evolutionary algorithm for single and multi-objective optimisation: Differential evolution and constraints handlingApplied Soft Computing, 2017
- Design of low dropout regulator using artificial bee colony evolutionary algorithm2015
- An output-capacitor-free low-dropout regulator with subthreshold slew-rate enhancement techniqueMicroelectronics Journal, 2014
- An Empirical Study of Control Parameters for The Third Version of Generalized Differential Evolution (GDE3)2006
- Parameter optimization of an on-chip voltage reference circuit using evolutionary programmingIEEE Transactions on Evolutionary Computation, 2001