Results 61 to 70 of about 1,039 (167)
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 +4 more
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On Accurate Discrete-Time Dynamic Models of an Induction Machine
MathematicsInduction 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 +3 more
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Performance Enhancement and Evaluation of a Vector Tracking Receiver Using Adaptive Tracking Loops
Remote SensingThe 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 +3 more
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Apple Trajectory Prediction in Orchards: A YOLOv8-EK-IPF Approach
AgricultureTo 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 +4 more
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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
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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 +3 more
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Journal of Hydrology: Regional StudiesStudy region: Permafrost region in Northeast China. Study focus: This study aims to improve soil moisture (SM) simulation in the Northeast China permafrost region by integrating the Noah-MP land surface model with several Kalman filter–based data ...
Xianju Yuan +6 more
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Energy Science & EngineeringAiming at the matter of poor precision in predicting the charge of lithium battery by applying conventional integer‐order models and offline parameter identification, this paper proposes a joint fractional‐order multi‐innovations unscented Kalman filter (
Likun Xing +4 more
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Research on SOC Estimation of Lithium-Ion Battery Based on CA-SVDUKF Algorithm
BatteriesBecause of the problem that the traditional unscented Kalman filter algorithm (UKF) may terminate the iteration due to the non-positive definite error covariance matrix during state of charge (SOC) estimation of lithium-ion battery, considering the ...
Jinrun Cheng, Kuo Yang, Xing Hu
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Future BatteriesAccurate estimation of supercapacitor state-of-charge (SOC) is vital for optimal energy management in electric vehicles (EVs), particularly within hybrid energy storage systems (HESS). Challenges arise from nonlinear dynamics, self-discharge, temperature
Islam A. Sayed, Yousef Mahmoud
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