论文信息 - Robust Controller Identification for a Boost Type DC-DC Converter Using Genetic Algorithm

Robust Controller Identification for a Boost Type DC-DC Converter Using Genetic Algorithm

In this paper, we present a novel method of feedback controller design for a boost type dc-dc converter. The controller design is perceived as an optimization process of dynamic response enhancement and solution is sought through genetic algorithm. The use of exact model of boost converter in conjunction with evolutionary search results in a robust controller structure which guarantees excellent dynamic response at all operating points. Computed and measured results are given to illustrate the new dispensation.

K. Sundareswaran | K.V.S.M.K. Vadali | S.K. Nadeem | H.N. Shyam

[1] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[2] Nathan O. Sokal,et al. Current-mode control, five different types, used with the three basic classes of power converters: Small-signal AC and large-signal DC characterization, stability requirements, and implementation of practical circuits , 1985, 1985 IEEE Power Electronics Specialists Conference.

[3] S.M. Smith,et al. Automated calibration of a fuzzy logic controller using a cell state space algorithm , 1991, IEEE Control Systems.

[4] K. Tang,et al. Comparing fuzzy logic with classical controller designs , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[5] Javier Calvente,et al. Large-signal modeling and simulation of switching DC-DC converters , 1997 .

[6] Dorin O. Neacsu,et al. Power-switching converters , 2006 .

[7] Jun Zhang,et al. Implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms , 2001 .

[8] Paolo Tenti,et al. General-purpose sliding-mode controller for DC/DC converter applications , 1993, Proceedings of IEEE Power Electronics Specialist Conference - PESC '93.

[9] P. Mattavelli,et al. SLIDING MODE CONTROL OF DC-DC CONVERTERS , 2022 .

[10] Dan Boneh,et al. On genetic algorithms , 1995, COLT '95.