Input Forces Estimation for Nonlinear Systems by Applying a Square-Root Cubature Kalman Filter. [PDF]
Materials (Basel), 2017 This work presents a novel inverse algorithm to estimate time-varying input forces in nonlinear beam systems. With the system parameters determined, the input forces can be estimated in real-time from dynamic responses, which can be used for structural health monitoring.
Song X, Zhang Y, Liang D.
europepmc +4 more sources
Accurate Real-Time Estimation of Power System Transients Using Constrained Symmetric Strong Tracking Square-Root Cubature Kalman Filter [PDF]
IEEE Access, 2019 The paper presents a fast and accurate algorithm for estimating four significant parameters (i.e., amplitude, frequency, phase angle, and damping factor) of a typical transient signal.
Meghabriti Pramanik +2 more
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Derivative‐free square‐root cubature Kalman filter for non‐linear brushless DC motors [PDF]
IET Electric Power Applications, 2016 This paper presents a non‐linear square‐root estimation scheme for brushless DC (BLDC) motors. The cubature Kalman filter (CKF) is the main estimation tool for the presented approach. The CKF is a recently proposed estimator for highly non‐linear systems and its efficacy has been verified on several applications.
Devendra Potnuru +5 more
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Research on Landmarks of SLAM Based on Square Root Cubature Kalman Filter
Journal of Physics: Conference Series, 2018 Under the large noise, the system's observability is weak, which leads to the instability of the filtering algorithm and the slow convergence speed. The algorithm of simultaneous localization and mapping based on the square-root Cubature Kalman filter (SRCKF) with Spherical Simplex(SS) was proposed in this paper.
Dandan Wang +3 more
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Energies, 2018 State of charge (SOC) is a key parameter for lithium-ion battery management systems. The square root cubature Kalman filter (SRCKF) algorithm has been developed to estimate the SOC of batteries.
Xiangyu Cui +4 more
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Lithium Battery SOC Estimation Based on Multi-Innovation Unscented and Fractional Order Square Root Cubature Kalman Filter [PDF]
Applied Sciences, 2022 Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root cubature ...
Likun Xing +4 more
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Sensorless control of PMSM using an adaptively tuned SCKF
The Journal of Engineering, 2019 This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath +1 more
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Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device [PDF]
Scientific ReportsEffective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance ...
Egas Jose Armando +4 more
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Vehicle State Joint Estimation Based on Lateral Stiffness [PDF]
Sensors, 2023 In this study, a vehicle state joint estimation method based on lateral stiffness was applied to estimate the running states of electric vehicles driven by rear-drive, in-wheel motors.
Lingxiao Quan +3 more
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State estimation of voltage and frequency stability in solar wind integrated grids using multiple filtering techniques [PDF]
Scientific ReportsThe increasing integration of solar and wind energy into modern power grids introduces challenges in maintaining voltage and frequency stability due to their intermittent and uncertain nature.
Abdulelah Alharbi
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