Author(s): B.Achiammal | Dr. R.Kayalvizhi
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 3;
Issue: 5;
Start page: 235;
Date: 2013;
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Keywords: PID controller | DC-DC converter | positive elementary Luo converter | Bacterial Foraging Algorithm | Modified Bacterial Foraging Algorithm.
ABSTRACT
DC-DC converters are widely used in application such as computer peripheral power supplies, car auxiliary power supplies and medical equipments. Positive output element Luo converter performs the conversion from positive source voltage to positive load voltage. Due to the time- varying and switching nature of the power electronic converters, their dynamic behaviour is highly non-linear. Conventional controllers are incapable of providing good dynamic performance and hence optimized techniques have been developed to tune the PI parameter. In this work, Bacterial Foraging (BF) algorithm and Modified Bacterial Foraging (MBF) algorithm are developed for PI optimization. Simulation results show that the performances of BF-PI and MBF-PI controllers are better than those obtained by the classical ZN-PI controller.
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 3;
Issue: 5;
Start page: 235;
Date: 2013;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: PID controller | DC-DC converter | positive elementary Luo converter | Bacterial Foraging Algorithm | Modified Bacterial Foraging Algorithm.
ABSTRACT
DC-DC converters are widely used in application such as computer peripheral power supplies, car auxiliary power supplies and medical equipments. Positive output element Luo converter performs the conversion from positive source voltage to positive load voltage. Due to the time- varying and switching nature of the power electronic converters, their dynamic behaviour is highly non-linear. Conventional controllers are incapable of providing good dynamic performance and hence optimized techniques have been developed to tune the PI parameter. In this work, Bacterial Foraging (BF) algorithm and Modified Bacterial Foraging (MBF) algorithm are developed for PI optimization. Simulation results show that the performances of BF-PI and MBF-PI controllers are better than those obtained by the classical ZN-PI controller.
