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Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation [article]

Junbo Zhao, Marcos Netto, Zhenyu Huang, Samson Shenglong Yu, Antonio Gomez-Exposito, Shaobu Wang, Innocent Kamwa, Shahrokh Akhlaghi, Lamine Mili, Vladimir Terzija, A. P. Sakis Meliopoulos, Bikash Pal (+4 others)
2020 arXiv   pre-print
The important roles of DSE are discussed from modeling, monitoring and operation aspects for today's synchronous machine dominated systems and the future power electronics-interfaced generation systems  ...  Several examples are presented to demonstrate the benefits of DSE on enhancing the operational robustness and resilience of 21st century power system through time critical applications.  ...  Feasibility studies using PMU measurements for DSE are reported in [8] , and subsequently, various Kalman filtering techniques, such as Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) [9]  ... 
arXiv:2005.05380v1 fatcat:jobkpoewpbakzp6afvduvd3msm

Industrial Applications of the Kalman Filter: A Review

Francois Auger, Mickael Hilairet, Josep M. Guerrero, Eric Monmasson, Teresa Orlowska-Kowalska, Seiichiro Katsura
2013 IEEE transactions on industrial electronics (1982. Print)  
estimation, state and parameter estimation for control or diagnosis, data merging, signal processing and so on.  ...  The Kalman filter has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 70s, ranging, without being exhaustive, trajectory  ...  ACKNOWLEDGMENT The authors would like to express their gratitude to the authors from papers [66] , [69] , [80] for sending figures. We would like to thank O. Ondel  ... 
doi:10.1109/tie.2012.2236994 fatcat:fvcjlkritfashfnqr5dkti5eiu

Increasing accuracy of Kalman filter-based sensorless control of wind turbine PM synchronous generator

Tomislav Loncarek, Vinko Lesic, Mario Vasak
2015 2015 IEEE International Conference on Industrial Technology (ICIT)  
Two unscented Kalman filters are used in a dual configuration to ensure both robust and accurate control performance under the variable wind conditions.  ...  This sensor is one of the most critical components for the drive reliability and the calibration greatly increases the time of repair.  ...  ACKNOWLEDGEMENT The research leading to these results has received funding from the "Centre of Excellence for Structural Health" (CEEStructHealth) supported by the European Union under contract IPA2007  ... 
doi:10.1109/icit.2015.7125187 dblp:conf/icit2/LoncarekLV15 fatcat:f7hzhtndhfaxzfdm5nqo37tocm

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
Diesel-Engine SCR Systems via a Dual Time-Scale Unscented Kalman Filter; TIE Jan. 2020 442-450 Jiang, K., Yan, F., and Zhang, H., Data-Driven Modeling and UFIR-Based Out-let NO x Estimation for Diesel-Engine  ...  ., Energy-Efficient Supplemental LED Lighting Control for a Proof-of-Concept Greenhouse System; TIE April 2020 3033-3042 Jiang, J., see Ma, J., TIE July 2020 5687-5695 Jiang, J., see Wang, J., TIE Aug.  ...  Adaptive Kalman filters A Novel Adaptive Kalman Filtering Approach to Human Motion Tracking With Magnetic-Inertial Sensors.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

A Survey on 3D Visual Tracking of Multicopters

Qiang Fu, Xiang-Yang Chen, Wei He
2019 International Journal of Automation and Computing  
This paper firstly gives an overview of the three key technologies of a 3D VTSMs: multi-camera placement, multi-camera calibration and pose estimation for multicopters.  ...  However, it is difficult for many researchers to build a 3D visual tracking system for multicopters (VTSMs) by using cheap and off-the-shelf cameras.  ...  Acknowledgements Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium  ... 
doi:10.1007/s11633-019-1199-2 fatcat:p3mdlodjirg25azril5lwl7b54

2020 Index IEEE/ASME Transactions on Mechatronics Vol. 25

2020 IEEE/ASME transactions on mechatronics  
., Framework for Static and Dynamic Friction Identification for Industrial Manipulators; TMECH June 2020 1589-1599 Inyang-Udoh, U., Guo, Y., Peters, J., Oomen, T., and Mishra, S., Layer-to-Layer Predictive  ...  Control of Inkjet 3-D Printing; TMECH Aug. 2020 1783-1793 Iordachita, I., see He, C., TMECH Dec. 2020 2846-2857 Iqbal, A., Gao, Y., and Gu, Y., Provably Stabilizing Controllers for Quadrupedal Robot  ...  Park, S., +, TMECH Aug. 2020 1990-1999 Machine tools Adaptive Skew Force Free Model-Based Synchronous Control and Tool Center Point Calibration for a Hybrid 6-DoF Gantry-Robot Machine.  ... 
doi:10.1109/tmech.2021.3049586 fatcat:k4ngjuvq7jc6pgfoh6irwtkvfi

2009 Index IEEE Transactions on Automatic Control Vol. 54

2009 IEEE Transactions on Automatic Control  
., +, TAC April 2009 892-897 Adaptive Kalman filters Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Ap- proximations.  ...  Sun, C., +, TAC Aug. 2009 1972-1977 Comments on "Robust Kalman Filter for Descriptor Systems".  ...  State Convergence of Passive Nonlinear Systems With an L Input.  ... 
doi:10.1109/tac.2009.2037798 fatcat:4ilhkzss6jc63ersjzi47hiwgu

Model Predictive Current Control of Switched Reluctance Motors With Inductance Auto-Calibration

Xin Li, Pourya Shamsi
2016 IEEE transactions on industrial electronics (1982. Print)  
The Kalman filter is employed to reduce the variance of measurement noises. Based on Recursive Linear-Square (RLS) estimation, the inductance profile is calibrated dynamically.  ...  A direct adaptive estimator is incorporated to follow the inductance variations in a DSSRM.  ...  Fig. 6 . 6 Distributions of MPC objective function values, (a) without Kalman filter and auto-calibration, (b) with Kalman filter and auto-calibration.  ... 
doi:10.1109/tie.2015.2497301 fatcat:ekwh4iczkzgpheua6carknc77i

2015 Index IEEE Transactions on Automatic Control Vol. 60

2015 IEEE Transactions on Automatic Control  
., +, TAC Jan. 2015 199-204 Nonlinear filters A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter.  ...  ., +, TAC Aug. 2015 2072-2085 + Check author entry for coauthors Adaptation and Optimization of Synchronization Gains in the Regulation Control of Networked Distributed Parameter Systems.  ... 
doi:10.1109/tac.2015.2512305 fatcat:5gut6qeomfh73fwfvehzujbr5q

An Accurate and Generic Testing Approach to Vehicle Stability Parameters Based on GPS and INS

Zhibin Miao, Hongtian Zhang, Jinzhu Zhang
2015 Sensors  
Although prior model parameters should be recognized in a Kalman filter, it is usually used to fuse data from multi-sensors.  ...  Second, a two-stage Kalman filter, which fuses the data from GPS and INS, is established. Next, this approach is applied to a case study vehicle to measure yaw rate and sideslip angle.  ...  If INS and GPS data processing time is not synchronized, time difference will happen in Kalman filter.  ... 
doi:10.3390/s151229812 pmid:26690154 pmcid:PMC4721732 fatcat:wsibgudduzdtxhntdukfzvhmey

Guest Editorial: Position Sensorless AC Motor Drives

M. I. Valla, G. Wang, J. A. Solsona
2020 IEEE transactions on industrial electronics (1982. Print)  
To achieve sensorless control of LFSPMs with better stability, robustness, and low requirements for working environment, an extended Kalman filter is adopted in item 13) of the Appendix.  ...  synchronous machine (PMSM) drives.  ... 
doi:10.1109/tie.2020.2969754 fatcat:vm5axy7ltjf4hl744an2nxxw3y

Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems

Hui Liu, Fei Hu, Jinshuo Su, Xiaowei Wei, Risheng Qin
2020 IEEE Access  
The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state estimation of power systems have been extensively used to provide accurate data for power system applications.  ...  In this paper, four Kalmanfilter-based algorithms (i.e., extended Kalman filter, unscented Kalman filter, cubature Kalman filter, and ensemble Kalman filter) are compared to show their differences from  ...  The EKF algorithm achieves nonlinear state estimation by approximating nonlinear function, while the other KF-based algorithms, such as UKF, cubature Kalman filter (CKF), and ensemble Kalman filter (EnKF  ... 
doi:10.1109/access.2020.2979735 fatcat:3t3uzywhuvabbdcpmbqzazrm7y

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

Cesar Jose Volpato Filho, Dianxun Xiao, Rodrigo Padilha Vieira, Ali Emadi
2021 IEEE Access  
A general control diagram of motor-parameter-adaptive position-sensorless control is depicted in Fig. 15 . 2) Adaptive Filters Adaptive filters are commonly adopted in parameter estimation for robust  ...  Motor-Parameter- Adaptive Position Observers Parameter Estimation Methods Convergence Rate Robustness to Noises Computational Complexity Advantages Disadvantages Adaptive Filters RLS  ... 
doi:10.1109/access.2021.3072360 fatcat:bbyc5xehijghjhiswi5cijdeey

Estimators for Time Synchronization—Survey, Analysis, and Outlook

Henning Puttnies, Peter Danielis, Ali Rehan Sharif, Dirk Timmermann
2020 IoT  
Time (or clock) synchronization is a large and vital field of research, as synchronization is a precondition for many applications.  ...  First, this survey paper introduces the research area of time synchronization and emphasizes its relation to other research areas.  ...  An IMM consists of several Kalman filters. Each filter uses a different system model to estimate skew. The IMM then adaptively selects the filter that best fits the skew measurements.  ... 
doi:10.3390/iot1020023 fatcat:4zk4myewhzcy5lja532dptwswy

2020 Index IEEE Signal Processing Letters Vol. 27

2020 IEEE Signal Processing Letters  
., +, LSP 2020 995-999 A New Robust Kalman Filter With Adaptive Estimate of Time-Varying Mea- surement Bias.  ...  Chou, G., +, LSP 2020 1230-1234 Bayes methods A New Robust Kalman Filter With Adaptive Estimate of Time-Varying Mea- surement Bias.  ... 
doi:10.1109/lsp.2021.3055468 fatcat:wfdtkv6fmngihjdqultujzv4by
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