Adjustable dimension descriptor observer based fault estimation of nonlinear system with unknown input
作者：
Highlights：
• A novel adjustable dimension augmented descriptor observer is designed, and the system state, process and sensor faults can be estimated simultaneously.
• Both disturbance decoupling and disturbance attenuation have been considered. one of disturbance, which is name unknown input in this paper, can be decoupled from the estimation results, and the other part can be attenuated.
• The observer order can be selected in a certain range. Thus, we can select different observer orders for different conditions, which can obtain the tradeoff between estimation cost and precision.
摘要
•A novel adjustable dimension augmented descriptor observer is designed, and the system state, process and sensor faults can be estimated simultaneously.•Both disturbance decoupling and disturbance attenuation have been considered. one of disturbance, which is name unknown input in this paper, can be decoupled from the estimation results, and the other part can be attenuated.•The observer order can be selected in a certain range. Thus, we can select different observer orders for different conditions, which can obtain the tradeoff between estimation cost and precision.
论文关键词：Fault estimation,Adjustable dimension,Disturbance decoupling,Disturbance attenuation
论文评审过程：Received 18 June 2020, Revised 30 November 2020, Accepted 13 December 2020, Available online 26 December 2020, Version of Record 26 December 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125899
