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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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