Parameter optimization for operator-based robust nonlinear control of uncertain wireless power transfer systems by using ant colony optimization

被引：0

作者：

Gao, Xudong ^{[1
]}

Zhang, Jun ^{[2
]}

Deng, Mingcong ^{[3
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Artificial Intelligence, Nanjing, Peoples R China

[2] Victoria Univ, Melbourne, Vic, Australia

[3] Tokyo Univ Agr & Technol, Grad Sch Engn, Tokyo, Japan

来源：

2019 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS) | 2019年

关键词：

Improved tracking performance; ant colony optimization; robust stability; wireless power transfer systems;

D O I：

10.1109/icamechs.2019.8861663

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, by using ant colony optimization algorithm, a parameter optimization method for operator-based robust control of wireless power transfer systems is proposed. There are two advantages by using the proposed control design scheme, first, the improved tracking performance could be achieved by adopting the optimal parameter. Moreover, since the control topology has not be changed, the robust stability can be guaranteed without complex mathematical verification. Finally, simulation results are presented to confirm the effectiveness of this proposed method.

引用

页码：368 / 371

页数：4

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