Design of intelligent power controller for DC–DC converters using CMAC neural network
作者： Chun-Fei Hsu
DOI: 10.1007/S00521-007-0161-3
关键词: Open-loop controller 、 Converters 、 Voltage 、 Adaptive control 、 Control theory 、 Computer science 、 Transient response 、 Power control 、 Control theory 、 Robust control 、 Artificial neural network
摘要: DC–DC converters are the devices which can convert a certain electrical voltage to another level of voltage. They very popularly used because high efficiency and small size. This paper proposes an intelligent power controller for via cerebella model articulation (CMAC) neural network approach. The proposed is composed CMAC robust controller. uses online mimic ideal controller, designed achieve L 2 tracking performance with desired attenuation level. Finally, comparison among PI control, adaptive control made. experimental results provided demonstrate cope input load resistance variations ensure stability while providing fast transient response simple computation.
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