FAULT DETECTION AND IDENTIFICATION OF ACTUATOR FAULTS USING LINEAR PARAMETER VARYING MODELS
نویسندگان
چکیده
منابع مشابه
Fault Detection and Estimation based on Closed-loop Subspace Identification for Linear Parameter Varying Systems
This paper presents a data driven solution of the Fault Identification approach Connected to Subspace Identification (FICSI) for Linear Parameter Varying (LPV) systems. The proposed solution links system identification to fault detection and estimation in affine LPV systems. As an extension of the model-based FICSI-LPV, the data driven solution is also formulated based on the affine LPV model s...
متن کاملSystem Identification of Linear Parameter Varying State-space Models
This chapter examines the estimation of multivariable linear models for which the parameters vary in a time-varying manner that depends in an affine fashion on a known or otherwise measured signal. These locally linear models which depend on a measurable operating point are known as linear parameter varying (LPV) models. The contribution here relative to previous work on the topic is that in th...
متن کاملOn Identifiability of Bias-Type Actuator-Sensor Faults in Multiple-Model-Based Fault Detection and Identification
This paper explores a class of multiple-model-based fault detection and identification (FDI) methods for bias-type faults in actuators and sensors. These methods employ banks of Kalman-Bucy filters to detect the faults, determine the fault pattern, and estimate the fault values, wherein each Kalman-Bucy filter is tuned to a different failure pattern. Necessary and sufficient conditions are pres...
متن کاملActuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems
This paper deals with actuator fault estimation for a class of discrete-time Linear Parameter-Varying (LPV) descriptor systems. By considering the fault as an auxiliary state vector, an augmented system is established. Then, a fault estimation observer is designed based on the augmented system. In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI)...
متن کاملActuator Fault Detection and Accommodation in Distributed Parameter Systems
Abstract: This paper presents a general framework for model-based fault detection and accommodation for a class of distributed parameter systems with control actuator faults. A set of dedicated observers, each with its own time-varying threshold is constructed to detect the occurrence of fault in the corresponding actuator and reduce fault detection time. Additionally, an adaptive diagnostic ob...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2005
ISSN: 1474-6670
DOI: 10.3182/20050703-6-cz-1902.01822