Augmented System Observer-based Robust Fault-estimation Scheme for Nonlinear Systems
文献类型：会议论文
| 作者 | Gao S(高升)1,2,3 ; Ma GF(马广富)1; Guo YN(郭延宁)1; Zhang W(张伟)2,3
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| 出版日期 | 2021 |
| 会议日期 | July 26-28, 2021 |
| 会议地点 | Shanghai, China |
| 关键词 | Augmented observer Fault diagnosis Fault estimation Nonlinear system Linear matrix inequality (LMI) |
| 页码 | 4350-4355 |
| 英文摘要 | For the problem of previous fault-estimation studies that the so-called observer-matching condition should be satisfied, as well as the difficulty to estimate actuator and sensor faults simultaneously, an augmented system fault-estimation observer is proposed for a sort of nonlinear systems subject to process and sensor disturbances. The essential idea is to construct an augmented system using a filter and to further create an augmented state vector by considering the system states and simultaneous actuator and sensor faults. The nonlinearity, process, and sensor disturbances and multiple-fault problem of the actuator and sensor are all taken into account. Then, an augmented observer is designed for the augmented system by attenuating the disturbances and simultaneously estimating the system states and actuator and sensor faults. The asymptotic stability is confirmed via the Lyapunov stability theory, and the linear matrix inequality optimization technique is further utilized to solve the designed observer. Numerical simulations of a single-link flexible-joint robot are performed to illustrate the effectiveness of the proposed robust fault-estimation scheme. |
| 源文献作者 | Chinese Association of Automation (CAA) ; Shanghai University ; Systems Engineering Society of China ; Technical Committee on Control Theory, Chinese Association of Automation (TCCT) |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 40th Chinese Control Conference, CCC 2021
 |
| 会议录出版者 | IEEE Computer Society |
| 语种 | 英语 |
| ISSN号 | 1934-1768 |
| ISBN号 | 978-9-8815-6380-4 |
| 源URL | [http://ir.sia.cn/handle/173321/29780]  |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 通讯作者 | Gao S(高升) |
| 作者单位 | 1.Harbin Institute OfTechnology, Department of Control Science and Engineering, Harbin 150001, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 3.Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Gao S,Ma GF,Guo YN,et al. Augmented System Observer-based Robust Fault-estimation Scheme for Nonlinear Systems[C]. 见:. Shanghai, China. July 26-28, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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