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In this paper, we present a new quick response digital control dc-dc converter based on a dynamic unstable gain to improve transient response. In the proposed method, the proportional gain is set to the small value in the steady state and the large value over the stability limit for only a short time in the transient state. Compared with the conventional PID, the undershoot, the overshoot and convergence...
The purpose of this paper is to propose a digitally proportional gain varying method for dc-dc converter. In the proposed method, the proportional gain is set to a small value in the steady state and is changed to a large value over stability limit for only a short time in the transient state. Using the proposed method, the transient response can be improved while the dc-dc converter system is kept...
The aim of this paper is to give a comparative study on the effect of neural network based reference modification method for a digitally controlled dc-dc converter when circuit parameters and PID control parameters are changed. In general, the parameters of PID control are selected to satisfy both stable regulation of static state and followability of transient state. The selection of parameter values...
This paper presents a neural network based PID parameter selection control to improve the transient response of dc-dc converters. In the conventional PID control, parameters of it such as proportional, integral, and differential coefficients are selected as fixed parameters to regulate both transient and steady-state characteristics simultaneously as much as possible. The parameter setting of PID...
This study presents a novel adaptive control based on a neural network for dc -- dc converters. The control method is required to adapt to changes of conditions to obtain high performance dc -- dc converters. In this study, the neural network control is adopted to improve the transient response of dc -- dc converters. It woks in coordination with a conventional PID control to realize a high adaptive...
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