Browsing by Subject "Kalman filters"
Now showing items 1-10 of 10
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A stationary frame current control for inverter-based distributed generation with sensorless active damped LCL filter using Kalman filter
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)Due to the large variety of renewable power sources, power electronics play an important role in energy conversion. Different power converter topologies are used to interface distributed power generation systems (DPGS) ... -
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
( IEEE , 2011 , Conference Paper)Relationships between cortical neural recordings as a representation of functional connectivity between cortical brain regions were quantified using different time-frequency criteria. Among these, Partial Directed Coherence ... -
Assessment of sensorless Kalman filter-based dual-loop control strategies for grid-connected VSIs with LCL filters
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper illustrates the assessment between the multiloop control strategies that aim to damp the resonance hazard of LCL-filters and expanding the available stability margins. The establishment of the multiloop control ... -
Iterated unscented Kalman filter-based maximum power point tracking for photovoltaic applications
(2013 , Conference Paper)One of main challenges in harvesting power from a PV source is maximum power point tracking (MPPT). This is due to the nonlinear behaviour and characteristics of PV arrays. Conventional MPPT techniques usually utilize a ... -
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
( 2013 1st American Control Conference, ACC 2013 , 2013 , Conference Paper)In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ... -
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
( ASME , 2012 , Article)In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables ... -
Robust Hybrid EKF approach for state estimation in multi-scale nonlinear singularly perturbed systems
( IEEE , 2014 , Conference Paper)In this paper a general framework is developed for state estimation in a class of nonlinear continuous-time singularly perturbed systems. Our approach is based on the hybrid extended Kalman filter in which observations are ... -
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
( Academic Press , 2016 , Article)In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ... -
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ... -
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ...