控制理论与应用2017，Vol.34Issue(4)：483-490,8.DOI:10.7641/CTA.2017.60744
自适应广义滑模观测器之状态估计和故障重构
State estimation and fault reconstruction from an adaptive descriptor sliding mode observer
穆凌霞 1余翔 2李平 1王新民1
作者信息
- 1. 西北工业大学自动化学院,陕西西安710072
- 2. 湖南大学机械与运载工程学院,湖南长沙410082
- 折叠
摘要
Abstract
An adaptive descriptor sliding mode observer (SMO) is proposed to estimate system states and reconstruct actuator fault for a class of uncertain system with both actuator fault and output disturbance. The system model is firstly transformed and augmented to be a descriptor system model. In this way, the actuator fault and output disturbance are decoupled, and the output disturbance turns into new states of the transformed system. Secondly, inspired by the idea of unknown input observer and sliding mode observer, an adaptive descriptor SMO is developed where the strict constraint in the dimension of outputs is relaxed. Meanwhile, with the help of adaptive technique, the requirements of known boundary in disturbance and fault are liberalized. At last, actuator fault is reconstructed based on the idea of equivalent output error injection. Case studies of a reusable launch vehicle during re-entry flights are conducted to demonstrate the effectiveness of the proposed approach.关键词
自适应技术/广义滑模观测器/故障重构/可重复使用运载器Key words
adaptive technique/descriptor sliding mode observer/fault reconstruction/reusable launch vehicle (RLV)分类
航空航天引用本文复制引用
穆凌霞,余翔,李平,王新民..自适应广义滑模观测器之状态估计和故障重构[J].控制理论与应用,2017,34(4):483-490,8.
