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元数据
名   称 Actuator fault estimation design for DC motor using unknown input observer
科技资源标识 CSTR:11738.14.NCDC.XDA14.PP6330.2024
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摘   要 This study investigates the problem of robust fault estimation for direct current (DC) motor control systems subjected to actuator faults and unknown input disturbances. An augmented descriptor system is first built by creating an augmented state consisting of system states and actuator faults. Then, a novel unknown input observer (UIO) based on the augmented descriptor system is proposed to estimate actuator faults by decoupling the unknown input disturbances. Furthermore, the design conditions of the observer are transformed into linear matrix inequalities (LMIs). Finally, the effectiveness of the developed UIO is validated through simulations.
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关键词
作者 Shen-Hua Wu,Sheng-Xuan Yang,Lei Xiao,Min-Hui Wu
数据量 1.4 MiB
论文类型: conference
论文网址: https://doi.org/10.1145/3548608.3561143
期刊名称: 2022第二届控制与智能机器人国际会议
出版时间: 2022-09-01
引用和标注
数据引用
Shen-Hua Wu,Sheng-Xuan Yang,Lei Xiao,Min-Hui Wu. Actuator fault estimation design for DC motor using unknown input observer. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP6330.2024.
许可协议
知识共享许可协议   本作品采用 知识共享署名 4.0 国际许可协议进行许可。

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