Article
Engineering, Civil
Salman Akhtar, Saeid Habibi
Summary: An algorithm based on the Interacting Multiple Model (IMM) estimation strategy is proposed to predict trajectories involving lane-changing, lane-keeping, and turning motion of vehicles. The algorithm uses curvi-linear coordinates and road geometry to predict the trajectory based on prior behavioral maneuvers. It is compared with a Kalman Filter based formulation and machine learning-based strategies for trajectory prediction.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Energy & Fuels
Lu Wang, Jian Ma, Xuan Zhao, Xuebo Li, Kai Zhang
Summary: This paper proposes a method combining adaptive robust unscented Kalman filter and smooth variable structure filter with time-varying smoothing boundary layer (SVSF-VBL) to accurately estimate the state-of-charge (SOC) inconsistency of cells with different performance parameters and working states. The method effectively identifies the parameters of the dual polarization (DP) model and estimates the SOC using unscented Kalman filter. It also estimates the SOC difference between each cell and module using SVSF-VBL based on the Rint model for improving estimation accuracy and robustness.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Environmental Sciences
Yu Chen, Luping Xu, Guangmin Wang, Bo Yan, Jingrong Sun
Summary: SVSF is a new-style filter that is more robust compared to the Kalman filter, while ISVSF combines Bayesian theory to improve estimation accuracy and shows high robustness in dealing with modeling uncertainties and noise. The proposed ISVSF can deliver satisfying performance even in the presence of sudden changes in system state, outperforming existing filters in target tracking simulations.
Article
Engineering, Aerospace
Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian
Summary: This article presents a new algorithm for adaptive explicit nonlinear model predictive control (eNMPC) with applications to fault tolerance. The controller's explicit solution is designed with multiple dynamic models to address plant-model mismatch, with each model weighted by a parameter variable determined by mode probabilities. The developed strategy is validated on attitude maneuvers for a nonlinear spacecraft system, showing that eNMPC benefits from weighted system models and achieves similar levels of tracking error to standard controllers.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Automation & Control Systems
Abdelatif Oussar, Abdelmoumen Ferrag, Mohamed Guiatni, Mustapha Hamerlain
Summary: This paper presents a robust architecture design for tracking an unmanned ground vehicle by an unmanned aerial vehicle, including integral sliding mode controller and integral-backstepping solution. Two approaches, Kalman filter and smooth variable structure filter, are used to estimate the relative position between the two agents. Simulation results based on the full non-linear model evaluate the performance and robustness of the proposed tracking architecture.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2021)
Review
Engineering, Electrical & Electronic
Mohammad Avzayesh, Mamoun Abdel-Hafez, M. AlShabi, S. A. Gadsden
Summary: The smooth variable structure filter (SVSF) is a type of sliding mode filter formulated in a predictor-corrector format and has seen significant development over the last 15 years. This paper provides a comprehensive review of the SVSF and its variants, investigating the developments, applications, and improvements in terms of robustness and optimality. It also considers the combination of SVSF with different filtering strategies to improve estimation accuracy and maintain robustness to model uncertainty.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Civil
Yaowen Li, Gang Li, Yu Liu, Xiao-Ping Zhang, You He
Summary: This paper proposes a novel hybrid SVSF algorithm based on a nonlinear generalized variable smoothing boundary layer to address model uncertainty and undesired chattering. By utilizing an adaptive two-module switching strategy and improving the correction gain, the algorithm improves estimation performance and maintains robustness.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Ali Namdar, Haidar Samet, Mehdi Allahbakhshi, Mohsen Tajdinian, Teymoor Ghanbari
Summary: This paper presents an algorithm for detecting stator inter-turn faults in induction motors based on Kalman Filter, which shows robust performance, promising accuracy, and good speed of convergence, making it computationally efficient in various scenarios.
Article
Engineering, Electrical & Electronic
Zhenbing Qiu, Lei Guo
Summary: In this article, a new, adaptive and robust nonlinear Kalman filter is proposed to address the challenges in spacecraft attitude estimation. The filter is derived by minimizing the constrained cost function to achieve optimal filter gain, showing better performance in terms of robustness and estimation accuracy in comparison to state-of-the-art algorithms for low-orbiting spacecraft attitude estimation.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Petr Lukes, Milan Riha
Summary: This study investigates the tracking of aircraft using passive sensors with poor measurement precision and a variable update rate. By comparing the Interacting Multiple Model (IMM) and the Variable Structure Interacting Multiple Model (VS-IMM), it is found that the VS-IMM performs the best in areas of both high and low measurement precision.
IET RADAR SONAR AND NAVIGATION
(2021)
Article
Engineering, Electrical & Electronic
Wei Ren, Huizi Han, Shaoqiang Chang, Quanhua Liu
Summary: Recently, there has been significant interest in using microwave radars for noninvasive and noncontact human respiration detection. Previous research mainly focused on stationary or randomly moving subjects. However, there have been few studies on detecting subjects in large-scale body movement. This article presents a tracking-aided method that combines the Kalman filter-based tracking method with a range-spread human subject model to detect subjects moving across multiple range bins. Experimental results validate the accuracy of the range-spread model and the effectiveness of the proposed method.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Kaushik Gajula, Luis Herrera
Summary: DC networks are increasingly popular, but detecting and locating high-impedance series arc faults remains a major challenge. A Kalman filter-based algorithm is introduced in this article to monitor DC microgrid operation by estimating line admittances and detecting/localizing series arc faults. The algorithm uses voltage and current samples to estimate line admittances, isolate faulted sections, and reconfigure the network quickly after a fault. Simulation and control hardware-in-the-loop results demonstrate the feasibility of implementation.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Miaoxin Ji, Xiangbo Xu, Yuyang Guo
Summary: The pedestrian navigation system using inertial and magnetic sensors can determine the pedestrian's attitude and position, but magnetic interference can lead to heading errors. This study proposes the GLRT method to suppress magnetic interference and improve the accuracy of the navigation system.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Information Systems
Yongchao Wang, Dawei Meng, Ran Li, Yongqin Zhou, Xiaoyu Zhang
Summary: A LN-IMM algorithm based on low inertia noise reduction was proposed in this paper to address the declined estimation and diagnostic accuracy issues in fault diagnosis algorithms. By combining with STKF, the algorithm successfully achieved multi-fault diagnosis of lithium-ion batteries, demonstrating improved diagnostic accuracy through transition probability correction and model jump threshold introduction.
Article
Nanoscience & Nanotechnology
Weiyi Chen, Fan He, Haidi Dong
Summary: A new adaptive variable structure IMM filtering and smoothing (AVSIMMFS) algorithm is proposed in this paper, and simulation results show that the tracking performance of the AVSIMMFS algorithm is better than that of other methods.
