A Novel Data-Driven Fault-Tolerant Control Method Based on Convex Optimization

被引：0
|
作者：
Wang, Siqing [1 ]
Fan, Quan-Yong [2 ]
Li, Jiaxuan [2 ]
Zhang, Naizong [2 ]
机构：
[1] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
来源：
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
关键词：
Discrete linear system; Data-driven; Passive fault-tolerant control; Convex optimization; Semi-definite programing; LQR;
D O I：
10.1109/DDCLS58216.2023.10166342
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, for discrete-time linear systems, a data-driven and passive fault-tolerant control design is delivered. This design starts from a novel expression of the classical linear-quadratic regulator (LQR) problem, modifies it into a semi-definite programming (SDP) optimization problem method, expands the constraint conditions by using the properties of convex functions, and obtains the fault-tolerant control method of actuator failure based on data. Finally, a discrete time system is simulated to show the feasibility and effectiveness of this design.
引用
收藏
页码：374 / 379
页数：6
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