Results 61 to 70 of about 984 (126)

Research on Temperature Estimation Model of Planar Solid Oxide Fuel Cell Stack

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT The solid oxide fuel cell (SOFC) is an innovation power generation device in the form of an electric stack. The temperature distribution is crucial for the stable and safe operation of the system. Considering the difficulty of accurately measuring the internal temperature of the device, this paper proposes a temperature estimation method based
Anan Zhang, Qin Xiao, Chuan Liu, Huang Huang, Qian Li, Wei Yang   +5 more
wiley   +1 more source

Time‐Varying Inertia Estimation for Grid‐Connected DFIG‐Based Wind Farms Using Sensitivity‐Guided Clustering and Aggregation

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a time‐varying inertia estimation framework based on sensitivity‐guided clustering and aggregation. It can achieve high‐accuracy inertia estimation with limited measurements, reducing the relative error by nearly 10% compared with existing methods, and exhibit strong robustness to noise and disturbances.
Yulong Li, Wei Yao, Yongxin Xiong, Hongyu Zhou, Shanyang Wei, Wei Huang, Jinyu Wen   +6 more
wiley   +1 more source

Dynamic Error Suppression of Inertial Measurement Unit Based on Improved Unscented Kalman Filter

Transactions of Nanjing University of Aeronautics and Astronautics
In this paper， an algorithm on measurement noise with adaptive strong tracking unscented Kalman filter （ASTUKF） is advanced to improve the precision of pose estimation and the stability for data computation.
LI Na, LI Kun, HE Haiyu, JING Min
doaj   +1 more source

Physics‐Informed LSTM for Degradation Prediction of Metallised Film Capacitors Under Dynamic Stress

IET Power Electronics, Volume 19, Issue 1, January/December 2026.
A PI‐LSTM model is proposed for degradation prediction of metallized film capacitors under dynamic temperature stress. By integrating degradation mechanisms into a data‐driven framework, the model enhances physical consistency and mitigates non‐physical prediction jumps during stress switching.
Yigang Lin, Huiyu Chen, Shihao Guo, Bokai Zheng, Ziran Wu, Liang Shu   +5 more
wiley   +1 more source

On Accurate Discrete-Time Dynamic Models of an Induction Machine

Mathematics
Induction machines have become the standard for highly demanding industrial applications. This has led to the utilization of modern discrete-time control techniques (such as model predictive control) that require the estimation of internal variables that
Ramón Herrera Hernández, Carlos Reusser, María Coronel, Rodrigo Carvajal   +3 more
doaj   +1 more source

State Estimation of Permanent Magnet Synchronous Motor Using Improved Square Root UKF

Energies, 2016
This paper focuses on an improved square root unscented Kalman filter (SRUKF) and its application for rotor speed and position estimation of permanent magnet synchronous motor (PMSM).
Bo Xu, Fangqiang Mu, Guoding Shi, Wei Ji, Huangqiu Zhu   +4 more
doaj   +1 more source

Performance Enhancement and Evaluation of a Vector Tracking Receiver Using Adaptive Tracking Loops

Remote Sensing
The traditional receiver employs scalar tracking loops, resulting in degraded navigation performance in weak signal and high dynamic scenarios. An innovative design of a vector tracking receiver based on nonlinear Kalman filter (KF) tracking loops is ...
Ning Gao, Xiyuan Chen, Zhe Yan, Zhiyuan Jiao   +3 more
doaj   +1 more source

Apple Trajectory Prediction in Orchards: A YOLOv8-EK-IPF Approach

Agriculture
To address the challenge of accurate apple harvesting by orchard robots, which is hindered by dynamic changes in apple position due to wind interference and branch swaying, this study proposes an optimized prediction algorithm based on an integration of ...
Jinxing Niu, Zhengyi Liu, Shuo Wang, Jiaxi Huang, Junlong Zhao   +4 more
doaj   +1 more source

An adaptive particle filter based on PSO and fuzzy inference system for nonlinear state systems

Automatika, 2018
Particle filters have been widely used in nonlinear/non-Gaussian Bayesian state estimation problems. However, the particle filter (PF) is inconsistent over time. The inconsistency of PF mainly results from the particle depletion in resampling step and an
Ramazan Havangi
doaj   +1 more source

State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network

IEEE Access, 2019
Accurate state-of-charge (SOC) estimation is critical for driving range prediction of electric vehicles and optimal charge control of batteries. In this paper, a stacked long short-term memory network is proposed to model the complex dynamics of lithium ...
Fangfang Yang, Xiangbao Song, Fan Xu, Kwok-Leung Tsui   +3 more
doaj   +1 more source