用于电动汽车无线充电的双向AC/DC图腾杆PFC转换器的自适应输出反馈控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Abdellah Lassioui, Hassan El Fadil, Ahmed Mohamed Hamed, El Jeilani Sidina
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引用次数: 0

摘要

本文研究了一种用于电动汽车无线充电的单相双向交流/直流(AC/DC)图腾极功率因数校正(PFC)转换器的控制问题。该转换器在电网到车辆(G2V)模式下作为无桥升压整流器,具有PFC功能,在车辆到电网(V2G)模式下作为PFC逆变器。首先介绍了其工作原理。其次,阐述了控制变换器所有工作模式的整体数学模型。第三,由于所研究系统的非线性,设计了一种基于非线性控制器的Lyapunov技术,以实现以下控制目标:(i) G2V和V2G两种功率传输模式下的单位功率因数(UPF), (ii)直流链路电压的调节,(iii)闭环系统的渐近稳定性。此外,由于所开发的控制律需要测量所有电压和电流,因此设计了一种基于自适应观测器的类卡尔曼技术来估计所有所需的信号和参数。通过多个仿真场景验证了所提出的输出反馈控制技术的性能,表明所有控制目标都达到了。应该注意的是,卡尔曼观测器的使用降低了系统的复杂性,因为它只需要两次测量(电网电压和电流),这使得它比通常使用三次测量的现有解决方案更有优势。此外,由于观测器的低通滤波特性及其对变换器参数估计的敏感性,大大提高了控制器的鲁棒性和对参数不确定性的不敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive output feedback control of a bidirectional AC/DC totem-pole PFC converter for wireless charging of electric vehicles

This paper deals with the control problem of a single-phase bidirectional alternating current/direct current (AC/DC) totem-pole power factor correction (PFC) converter intended to be used in wireless power transfer (WPT) chargers for electric vehicles (EVs). The converter is operating as a bridgeless boost rectifier with the PFC functionality during grid to vehicle (G2V) mode and as a PFC inverter during vehicle to grid (V2G) mode. Firstly, the operating principle is presented. Secondly, an overall mathematical model governing all the operating modes of the converter is elaborated. Thirdly, due to the nonlinearity of the studied system, a nonlinear controller–based Lyapunov technique is designed to achieve the following control objectives: (i) unity power factor (UPF) during both power transfer modes G2V and V2G, (ii) regulation of the DC-link voltage, and (iii) asymptotic stability of the closed-loop system. Further, as the developed control law requires the measurement of all voltages and currents, an adaptive observer–based Kalman-like technique is designed to estimate all the required signals and parameters. The performances of the proposed output feedback control technique are validated through several simulation scenarios showing that all control objectives are achieved. It should be noted that the use of the Kalman observer reduces the complexity of the systems as it requires only two measurements (grid voltage and current) making it an advantageous solution over existing solutions where three measurements are generally used. Furthermore, due to the low-pass filtering behavior of the observer and its susceptibility to estimate the converter's parameters, the robustness of the controller and its insensitivity to the parameter uncertainties are greatly improved.

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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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