Abstract
This paper proposes a parameter-dependent approach to robust fault detection and estimation problem for linear time-invariant (LTI) systems. The unknown input, actuator faults, sensor faults and disturbances are considered in our design. Through Projection lemma, we provide a sufficient affine matrix inequality for the integrated system in order to achieve robust performance criterion. In stead of obtaining the optimal solution by quadratic approach, we have used a parameter-dependent lyapunov approach which aimed at eliminating the involved coupling between system matrices and the lyapunov matrices; hence the conservativeness due to quadratic approach can be dramatically reduced. We present a design example in which we apply our method to a helicopter model.
| Original language | English |
|---|---|
| Title of host publication | 2008 Chinese Control and Decision Conference (CCDC 2008) |
| Subtitle of host publication | proceedings |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 3353-3357 |
| Number of pages | 5 |
| ISBN (Print) | 9781424417346 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | Chinese Control and Decision Conference (20th : 2008) - Yantai, China Duration: 2 Jul 2008 → 4 Jul 2008 |
Conference
| Conference | Chinese Control and Decision Conference (20th : 2008) |
|---|---|
| City | Yantai, China |
| Period | 2/07/08 → 4/07/08 |
Keywords
- robust control
- fault detection filter
- Linear Matrix Inequality (LMI)
Fingerprint
Dive into the research topics of 'An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver