Dynamic state estimation for synchronous generator with communication constraints: An improved regularized particle filter approach

X Bai, F Qin, L Ge, L Zeng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate acquisition of real-time electromechanical dynamic states of synchronous
generators plays an essential role in power systems. The phasor measurement units (PMUs) …

A Customized Extended Kalman Filter for Removing the Impact of the Magnetometer's Measurements on Inclination Determination

Y Chen, H Rong - Sensors, 2023 - mdpi.com
Normally, a three-dimensional orientation determination algorithm that is used in a magnetic
and inertial measurement unit calculates the inclination (including both the pitch and roll) of …

An EKF-based attitude estimator for eliminating the effect of magnetometer measurements on pitch and roll angles

H Rong, C Peng, Y Chen, J Lv… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, magnetic and inertial measurement units (MIMUs) have become useful tools for
determining the attitude of moving objects. An attitude calculation algorithm (ACA) is …

A Decoupled-DCM Orientation Estimator for Eliminating Influence of Magnetic Interference on Roll Angle and Pitch Angle

N Yi, W Sun, X Zhou, L Chen, J Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
For mobile robots, attitude information plays a crucial role in mobile robot applications.
However, the real-time positioning of robots is often hindered by issues such as robot …

Jet transport particle filter for attitude estimation of tumbling space objects

C Ma, Z Zheng, J Chen, J Yuan - Aerospace Science and Technology, 2020 - Elsevier
The particle filter (PF) is one of the most potential methods for nonlinear state estimation of
spacecraft on account of its accuracy and stability. However, the heavy computational …

[HTML][HTML] A novel TS fuzzy particle filtering algorithm based on fuzzy C-regression clustering

X Wang, L Li, W Xie - International Journal of Approximate Reasoning, 2020 - Elsevier
In this paper, a novel Takagi-Sugeno (TS) fuzzy model particle filtering algorithm (TSF-PF)
based on fuzzy C-regression clustering is proposed for uncertainty modeling of the target …

A novel FEM based TS fuzzy particle filtering for bearings-only maneuvering target tracking

X Wang, L Li, W Xie - Sensors, 2019 - mdpi.com
In this paper, we propose a novel fuzzy expectation maximization (FEM) based Takagi-
Sugeno (TS) fuzzy particle filtering (FEMTS-PF) algorithm for a passive sensor system. In …

Jet Transport Application to Particle Filter for Attitude Estimation of Tumbling Space Objects

J Yuan, J Chen, C Gao, C Ma, JJ Masdemont… - Jet Transport Technique …, 2024 - Springer
The particle filter is one of the most powerful methods for nonlinear state estimation of
spacecraft on account of its accuracy and stability. However, its heavy computational burden …

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

A Labibian - Journal of Space Science and Technology, 2024 - jsstpub.com
In high-resolution remote sensing satellites, achieving stability and meeting stringent
pointing requirements are crucial for mission success. Accurate gyroscopes are employed …

توسعه روش کالیبراسیون ژایروسکوپ مبتنی بر فیلتر کالمن توسعه یافته جهت تخمین وضعیت دقیق

لبیبیان امیر - 2024‎ - sid.ir
در ماهواره های سنجشی با تفکیک مکانی بالا, حفظ الزامات پایداری و نشانه روی برای موفقیت
ماموریت حیاتی است. بدین جهت, معمولاً از ژایروسکوپ های بسیار دقیق به عنوان یکی از سنسورهای …