利用细菌智能技术对dc-dc变换器控制器进行优化整定

D. M. Mary Synthia Regis, S. P. Kumar, G. Glan Devadhas
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引用次数: 15

摘要

工业上最常用的控制算法是比例导数积分(PID)控制。控制器的性能取决于控制参数的选择。本文将细菌觅食优化算法(BFOA)应用于dc-dc变换器的控制器参数优化。研究了BFOA调谐PID控制DC-DC变换器在负载扰动下的鲁棒性。最后,通过与传统PID控制的DC-DC变换器进行比较,研究了该控制器的有效性。
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An optimum setting of controller for a dc-dc converter using bacterial intelligence technique
The most commonly used control algorithm in industry is the Proportional-Derivative-Integral (PID) control. The controller's performance is decided by the proper selection of the control parameters. In this paper, Bacterial Foraging Optimization Algorithm (BFOA) is applied for optimizing the controller's parameters of a dc-dc converter. The robustness of the BFOA tuned PID controlled DC-DC converter under load disturbances is studied. Finally, the controller's effectiveness is studied by comparing it with the conventional PID controlled DC-DC converter.
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