Results 21 to 30 of about 18,908 (211)

State-of-Charge Estimation of Lithium-Ion Batteries Based on Dual-Coefficient Tracking Improved Square-Root Unscented Kalman Filter

Batteries, 2023
Accurate state of charge (SOC) estimation is helpful for battery management systems to extend batteries’ lifespan and ensure the safety of batteries. However, due to the pseudo-positive definiteness of the covariance matrix and noise statistics error ...
Simin Peng, Ao Zhang, Dandan Liu, Mengzeng Cheng, Jiarong Kan, Michael Pecht   +5 more
doaj   +1 more source

Results of the attitude reconstruction for the UniSat-6 microsatellite using in-orbit data [PDF]

, 2016
UniSat-6 is a civilian microsatellite that was launched in orbit on the 19th of June, 2014. Its main mission consisted in the in-orbit release of a number of on-board carried Cubesats and in the transmission to the UniSat-6 ground station of telemetry ...
Chantal Cappelletti, Crassidis, Crassidis, Farrell, Farrenkopf, Filippo Graziani, Kim, Lefferts, Markley, Nascetti, Simone Battistini, Vilán   +11 more
core   +3 more sources

Iterative Truncated Unscented Particle Filter

Information, 2020
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems.
Yanbo Wang, Fasheng Wang, Jianjun He, Fuming Sun   +3 more
doaj   +1 more source

Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]

Xibei Gongye Daxue Xuebao, 2018
Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...

doaj   +1 more source

State of Charge Estimation of Lithium-Ion Batteries Based on Fuzzy Fractional-Order Unscented Kalman Filter

Fractal and Fractional, 2021
The covariance matrix of measurement noise is fixed in the Kalman filter algorithm. However, in the process of battery operation, the measurement noise is affected by different charging and discharging conditions and the external environment ...
Liping Chen, Yu Chen, António M. Lopes, Huifang Kong, Ranchao Wu   +4 more
doaj   +1 more source

A New Adaptive High-Order Unscented Kalman Filter for Improving the Accuracy and Robustness of Target Tracking

IEEE Access, 2019
In target tracking, the tracking process needs to constantly update the data information. For maneuvering target, model mismatch and loss of high-order moment information disrupt the accuracy of the state estimation. In this paper, an adaptive high-order
Weidong Zhou, Jiaxin Hou
doaj   +1 more source

Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics, 2015
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
doaj   +1 more source

Two-Step Adaptive Augmented Unscented Kalman Filter for Roll Angles of Spinning Missiles Based on Magnetometer Measurements

Measurement + Control, 2018
It is critical to measure the roll angle of a spinning missile quickly and accurately. Magnetometers are commonly used to implement these measurements.
Xiaolong Yan, Guoguang Chen, Xiaoli Tian
doaj   +1 more source

UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor

Frontiers in Energy Research, 2022
The accuracy of rotor position estimation determines the performance of the sensorless control system of a permanent magnet synchronous motor. In order to realize the accurate control of rotor position and speed, it is necessary to identify the motor ...
Zhiwei Wang, Xin Liu, Wenzhuo Wang, Yunling Lv, Bo Yuan, Wujing Li, Qiufang Li, Shijie Wang, Qianchang Chen, Yi Zhang   +9 more
doaj   +1 more source

Unscented Kalman filtering on Lie groups [PDF]

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
In this paper, we first consider a simple Bayesian fusion problem in a matrix Lie group, and propose to tackle it using the unscented transform. The method is then leveraged to derive two simple alternative unscented Kalman filters on Lie groups, for both cases of noisy partial measurements of the state, and full state noisy measurements of the state ...
Martin Brossard, Silvere Bonnabel, Jean-Philippe Condomines   +2 more
openaire   +1 more source