Constant-Power and Maximum Efficiency Tracking Control of Fuzzy IPT Systems With Communication Delays

被引:1
|
作者
Xu, Donghui [1 ]
Tian, Engang [1 ]
Xie, Xiangpeng [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Inductive power transfer (IPT); event-triggered control; Takagi-Sugeno (T-S) fuzzy model; H(infinity )control; maximum efficiency tracking (MET); WIRELESS CHARGING SYSTEM; INDUCTIVE POWER; CONVERTER; SIDE;
D O I
10.1109/TASE.2023.3345480
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The inductive power transfer (IPT) technology, as one of the main wireless power transfer methods, has been prevalent in both industrial and commercial applications. However, the circuit parameter perturbations and communication delays will deteriorate the transfer performance, including output fluctuation and efficiency drop. To deal with the above mentioned issues and maximize the transfer efficiency, a boost converter is first cascaded after series-series IPT topology, then a novel control strategy is proposed to fulfill the constant power output with maximum efficiency tracking (MET). In the proposed strategy, the MET condition can be derived regardless of coupling coefficient and load resistance through elaborate design. Next, the stability of nonlinear IPT systems subjected to communication delays is modeled and described based on the concept of Takagi-Sugeno (T-S) fuzzy models. Furthermore, an event-triggered H-infinity fuzzy controller is designed to improve the robustness (against perturbations of coupling coefficient, loads and communication delay), and reduce the computation and transmission burden. Finally, the effectiveness of the suggested strategy is shown using the simulation results.
引用
收藏
页码:1 / 11
页数:11
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