Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Online Sensor Bias Estimation & Calibration by Kalman Filtering with Adaptive Lyapunov Redesign Method
Date
2019-01-01
Author
Altintas, Oguz Han
Turgut, Ali Emre
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
91
views
0
downloads
Cite This
Faulty measurements bring faulty controls and the major part of those are the bias in sensor readings. In this paper, the theory of adaptive and online calibration of a sensor with another measurement model is demonstrated by using Lyapunov redesign approach in Kalman filtering framework. In the measurement update step of Kalman filter, the effect of measurement bias is considered as a parametric uncertainty term and it is proven that it can be regressed by a universal approximator and can be eliminated from measurement update step while preserving the asymptotic stability of the estimator. Then, the convergence criteria for online parameter adaptation are obtained. Finally, a case study for estimation-based roll control of a missile is conducted and the results of online calibration is discussed.
Subject Keywords
Bias estimation
,
Sensor calibration
,
Sensor fusion
,
Kalman filter
,
Lyapunov redesign
,
Adaptive control
,
Parameter estimation
URI
https://hdl.handle.net/11511/32727
DOI
https://doi.org/10.1109/rast.2019.8767901
Collections
Department of Mechanical Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Centralized Target Tracking with Propagation Delayed Measurements
MEHMETCIK, Erdal; Orguner, Umut (2013-07-12)
In this paper, we investigate the multisensor target tracking problem in environments where the signal propagation delays between the target and the sensors are not negligible. Based on a previously proposed efficient method to solve the implicit equations imposed by the target motion model and the physics rules governing the signal propagation delays, a particle filter is developed to perform multisensor target tracking while compensating for the propagation delays. As opposed to the existing approach in t...
Robust local parameter estimator based on least absolute value estimator
ÖZDEMİR, VOLKAN; Göl, Murat (2017-01-01)
Changes in weather conditions such as temperature and humidity, miscommunication between the control center and circuit breaker transducers and tap changers, and inaccurate manufacturing data may cause parameter errors. Because of incorrect parameters, the state estimator may provide biased state estimates, which may lead to many serious economic and operational results. In order to prevent that, one must identify and correct those parameter errors. This work proposes a local parameter estimator based on th...
Integrated Temperature Sensor for Temperature Compensation of Inertial Sensors
Kaya, Onurcan; Azgın, Kıvanç (2019-01-01)
This study reports a novel dual-resonator integrated temperature sensor for temperature compensation on inertial sensors. The proposed temperature sensor eliminates the need of a TCXO or OCXO time base for accurate frequency-based temperature determination. Moreover, the sensor structure eliminates the effects of aging related shifts of the nominal frequency of counter reference. In addition, it is capable of short-term error mitigation, improving bias stability of MEMS based inertial sensors.
Low dark current N structure superlattice MWIR photodetectors
Salihoglu, Omer; Muti, Abdullah; Turan, Raşit; ERGÜN, YÜKSEL; AYDINLI, ATİLLA (2014-05-08)
Commercially available read out integrated circuits (ROICs) require the FPA to have high dynamic resistance area product at zero bias (R(0)A) which is directly related to dark current of the detector. Dark current arises from bulk and surface contributions. Recent band structure engineering studies significantly suppressed the bulk contribution of the type-II superlattice infrared photodetectors (N structure, M structure, W structure). In this letter, we will present improved dark current results for unipol...
Direction of arrival estimation in sensor arrays with faulty elements
Külbay, Tayfun; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2020)
During the operational lifetime of a sensor array, certain sensors cease to operate properly. The identification of these sensors is an important problem. Furthermore, the operation of the array is continued even with the faulty sensors. Therefore, new techniques are required in order to ensure that the system estimation performance does not degrade significantly. In this thesis, two different fault types in a sensor array are considered. The first fault type is special to MEMS microphone arrays. MEMS micro...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. H. Altintas and A. E. Turgut, “Online Sensor Bias Estimation & Calibration by Kalman Filtering with Adaptive Lyapunov Redesign Method,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32727.