Citation

BibTex format

@article{Zhang:2001:10.1109/63.974373,
author = {Zhang, J and Chung, HSH and Lo, WL and Hui, SY and Wu, AKM},
doi = {10.1109/63.974373},
journal = {IEEE Transactions on Power Electronics},
pages = {752--763},
title = {Implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms},
url = {http://dx.doi.org/10.1109/63.974373},
volume = {16},
year = {2001}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper presents an implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms (GAs). The optimization process entails the selection of component values in a switching regulator, in order to meet the static and dynamic requirements. Although the proposed method inherits characteristics of evolutionary computations that involve randomness, recombination, and survival of the fittest, it does not perform a whole-circuit optimization. Thus, intensive computations that are usually found in stochastic optimization techniques can be avoided. Similar to many design approaches for power electronics circuits, a regulator is decoupled into two components, namely the power conversion stage (PCS) and the feedback network (FN). The PCS is optimized with the required static characteristics, whilst the FN is optimized with the required static and dynamic behaviors of the whole system. Systematic optimization procedures will be described and the technique is illustrated with the design of a buck regulator with overcurrent protection. The predicted results are compared with the published results available in the literature and are verified with experimental measurements.
AU - Zhang,J
AU - Chung,HSH
AU - Lo,WL
AU - Hui,SY
AU - Wu,AKM
DO - 10.1109/63.974373
EP - 763
PY - 2001///
SN - 0885-8993
SP - 752
TI - Implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms
T2 - IEEE Transactions on Power Electronics
UR - http://dx.doi.org/10.1109/63.974373
VL - 16
ER -