Title :
High-order sliding-mode observation and fault detection
Author :
Fridman, Leonid ; Davila, Jorge ; Levant, Arie
Author_Institution :
Nat. Autonomous Univ. of Mexico, Mexico
Abstract :
A high-order sliding-mode observer is designed for linear time invariant systems with bounded unknown inputs. It provides the global observation of the state under sufficient and necessary conditions of strong observability or strong detectability. The observation is finite-time-convergent and exact in the strongly observable case and asymptotically exact in the strongly detectable case. An unknown input identification algorithm is proposed with finite time convergence for the strongly observable case, and asymptotic convergence for the strongly detectable case. Necessary and sufficient conditions for unknown input identification are given. The unknown input identification algorithm is applied for fault detection. The case of sensor-faults detection is considered without filtration.
Keywords :
control system synthesis; fault diagnosis; observers; variable structure systems; asymptotic convergence; fault detection; finite-time-convergent; global observation; high-order sliding-mode observation; linear time invariant systems; Control systems; Convergence; Fault detection; Filtration; Observers; Robustness; Sliding mode control; State estimation; USA Councils; Vectors;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434709