控制理论(社会学)
电压
电容器
电感器
转换器
升压变换器
计算机科学
趋同(经济学)
控制器(灌溉)
人工神经网络
观察员(物理)
工程类
控制(管理)
物理
电气工程
量子力学
人工智能
农学
机器学习
经济
生物
经济增长
作者
Yongfu Wang,Yongfu Wang,X. Song,Zhongchao Liang
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2023-07-01
卷期号:70 (7): 3005-3016
被引量:1
标识
DOI:10.1109/tcsi.2023.3264536
摘要
This paper investigates the problem of accurate voltage tracking control for direct current-direct current (DC-DC) boost converter under unknown system parameters and load. Firstly, uncertainties caused by the perturbation of the inductor, capacitor, input voltage and load are approximated by neural networks. Meanwhile, a finite-time observer is proposed to obtain the estimates of lumped uncertainty without any true parameters of the system. Finally, to improve the convergence of output voltage, a finite-time control scheme is proposed for the DC-DC boost converter. It is proven that all signals of the closed-loop system are bounded and both the estimate errors and tracking errors can converge to a small neighborhood of the origin in finite time. Numerical simulations and real-time experiments are presented to demonstrate the effectiveness and superiority of the proposed controller.
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