An Integrated Robust Design and Robust Control Strategy Using the Genetic Algorithm

被引：6

作者：

Gao, Yue ^{[1
]}

Wang, Junwei ^{[1
]}

Gao, Shuang ^{[1
]}

Cheng, Yao ^{[1
]}

机构：

[1] Univ Hong Kong, Dept Ind & Mfg Syst Engn, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2021年 / 17卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Optimization; Uncertainty; Indexes; Robustness; Robust control; Rockets; Genetic algorithms; Genetic algorithm (GA); integrated robust design and robust control (IRDRC); system decomposition; uncertainty; IMPLEMENTATION; OPTIMIZATION; SYSTEMS;

D O I：

10.1109/TII.2021.3056417

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Sequential strategies and integrated design and control (IDC) strategies have been developed to optimize engineering systems. Nevertheless, neither of them considers the impact of uncertainty when optimizing system performance. To improve the robustness of the system performance and ensure the systematic optimality, this article proposes an integrated robust design and robust control (IRDRC) strategy for a general engineering system using the genetic algorithm. The proposed IRDRC strategy is applied to a rocket flight attitude control system to test its effectiveness. The results show that the IRDRC strategy outperforms existing sequential strategies and IDC strategies, concerning system-level optimization and system robustness.

引用

页码：8378 / 8386

页数：9

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