Results 51 to 60 of about 41,493 (218)

PSO-Based EKF Estimator Design for PMBLDC Motor [PDF]

open access: yesEngineering and Technology Journal, 2016
The estimation of motor state variables is an important criterion in the drive performance, especially for high accuracy required, for that reason it’s-necessary to estimate rotor-position-continuously not for sixty-electrical-degrees as in most existing
Ahmed Hammood Abed   +1 more
doaj   +1 more source

Cross-coupled doa trackers [PDF]

open access: yes, 1997
A new robust, low complexity algorithm for multiuser tracking is proposed, modifying the two-stage parallel architecture of the estimate-maximize (EM) algorithm.
Kirlin, R L   +2 more
core   +2 more sources

Sun-Direction Estimation Under the Effect of Lunar Albedo

open access: yesHavacılık ve Uzay Teknolojileri Dergisi, 2022
Spacecraft or the instruments are directed to certain directions or points in order to successfully complete their mission. Solar sensors are commonly used as they are capable of being used in planetary or interplanetary space missions in the solar ...
Demet Çilden Güler
doaj  

Development of an EKF Based Gyro Calibration Method for High-Precision Attitude Estimation [PDF]

open access: yesفصلنامه علوم و فناوری فضایی
In high-resolution remote sensing satellites, achieving stability and meeting stringent pointing requirements are crucial for mission success. Accurate gyroscopes are employed as primary attitude sensors to ensure this stability.
Amir Labibian
doaj   +1 more source

A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models [PDF]

open access: yes, 2012
This is the post-print version of the Article. The official published can be accessed from the link below - Copyright @ 2012 IEEEIn this paper, a hybrid extended Kalman filter (EKF) and switching particle swarm optimization (SPSO) algorithm is proposed ...
Du, M, Li, Y, Liu, X, Wang, Z, Zeng, N
core   +2 more sources

EKF-based state estimation for train localization [PDF]

open access: yes2016 IEEE SENSORS, 2016
Determination of longitudinal acceleration of a land-vehicle regardless its inclination is a common problem for systems of localization. This paper addresses a solution for railway applications by combining a low-cost MEMS IMU (Inertial Measurement Unit) equipped with a 3-axis accelerometer and a 3-axis gyrometer and an algorithm for data fusion.
Veillard, Damien   +2 more
openaire   +2 more sources

An Extended Kalman Filter Design for State-of-Charge Estimation Based on Variational Approach

open access: yesBatteries, 2023
State of charge (SOC) is a very important variable for using batteries safely and reliably. To improve the accuracy of SOC estimation, a novel variational extended Kalman filter (EKF) technique based on least square error method is herein provided by ...
Ziheng Zhou, Chaolong Zhang
doaj   +1 more source

Smart Power Grid Synchronization With Fault Tolerant Nonlinear Estimation [PDF]

open access: yes, 2016
Effective real-time state estimation is essential for smart grid synchronization, as electricity demand continues to grow, and renewable energy resources increase their penetration into the grid.
Wang, Xin, Yaz, Edwin E
core   +2 more sources

Short-term Prediction Method for Passenger Density in Urban Rail Transit Based on Non-linear Kalman Filter

open access: yesChengshi guidao jiaotong yanjiu
Objective In order to cope with massive passenger flow incidents, it is necessary to identify accurately the spatial and temporal distribution state and the evolution law of massive passenger flow in urban rail transit, making short-term prediction of ...
WANG Hefei   +3 more
doaj   +1 more source

Processing and filtering analysis of navigation data of underground strapdown inertial navigation system

open access: yesGong-kuang zidonghua, 2014
In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
doaj   +1 more source

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