A fault in the system operation is deemed to occur when the system practically
experiences an abnormal condition, such as a malfunction in the actuators/sensors. Hence,
detection and isolation of the faulty components is crucial in control applications.
Effective control and monitoring of a system requires accurate information of internal
behaviour of the system. This internal behaviour can be analyzed by system's states.
Practically, in many real systems, state space variables are not fully available for
measurements. The two critical problems stated have motivated significant research work
in the area of robust state and fault estimation. Fault reconstruction and estimation is
regarded as a stronger extension to fault detection and isolation (FDI) since accurate
fault estimation automatically implies fault detection.
It is well known that two promising control strategies to cope with uncertain control
processes are H_infinity Control and Sliding Mode Control. Therefore, in this PhD thesis,
we employ these tools and we propose observer based robust fault reconstruction (RFR) by
integrating H_infinity filtering and Sliding Mode Control. We also employ adaptive
control on the sliding motion to deal with faults with unknown bounds. Another open
problem in the context of FDI and RFR is due to systems with multiple faults at different
system's components since it is often the case where actuators and also sensors suffer
from faults during the course of the system's operation. Both actuators and sensors can
suffer from faults either alone, at separate times or simultaneously. The co-existence of
unknown fault at both sensor(s) and actuator(s) has not been addressed in any earlier
design of fault reconstruction schemes. In this Thesis, inspired by the theory of
singular systems, we aim at solving this problem. A New structure for reduced-order
unknown input observers (UIOs) with application to chaotic communication and sensor fault
reconstruction is also proposed. / Controls
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/877 |
| Date | 06 1900 |
| Creators | Raoufi, Reza |
| Contributors | Horacio J. Marquez, Electrical and Computer Engineering, Qing Zhao, Electrical and Computer Engineering, Mahdi Tavakoli, Electrical and Computer Engineering, Jong Min Lee, Chemical and Materials Engineering, Qiong (Christine)Wu, Mechanical and Manufacturing Engineering, University of Manitoba |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1967578 bytes, application/pdf |
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