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Kalman Filtering Applied to Induction Motor State Estimation [chapter]

Yassine Zahraoui, Mohamed Akherraz
2020 Dynamic Data Assimilation - Beating the Uncertainties [Working Title]  
The simulated example concerns an extended Kalman filter applied to machine state and speed estimation.  ...  A full observation of an induction motor state variables and mechanical speed will be presented and discussed in details.  ...  Acknowledgements The authors would like to thank the managers and the members of the "Laboratoire d'électronique de puissance et commande (EPC) de l'Ecole Mohammadia d'Ingénieurs (EMI)" for their precious  ... 
doi:10.5772/intechopen.92871 fatcat:zddf4py5ard4ppvg2mwrkk6vjm

Direct Torque Control of Sensorless Induction Machine Drives: A Two-Stage Kalman Filter Approach

Jinliang Zhang, Longyun Kang, Lingyu Chen, Boyu Yi, Zhihui Xu
2015 Mathematical Problems in Engineering  
To reduce the computational cost, a two-stage extended Kalman filter (TEKF) based solution is presented for closed-loop stator flux, speed, and torque estimation of IM to achieve sensorless DTC-SVM operations  ...  Extended Kalman filter (EKF) has been widely applied for sensorless direct torque control (DTC) in induction machines (IMs).  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2015/609586 fatcat:u44digz72bgshgaoicjvcbezke

Neural Adaptive Kalman Filter for Sensorless Vector Control of Induction Motor

Ghlib Imane, Messlem Youcef, Gouichiche Abdelmadjid, Chedjara Zakaria
2017 International Journal of Power Electronics and Drive Systems  
This paper presents a novel neural adaptive Kalman filter for speed sensorless field oriented vector control of induction motor.  ...  The adaptive observer proposed here is based on MRAS (model reference adaptive system) technique, where the linear Kalman filter calculate the stationary components of stator current and the rotor flux  ...  It consists to separate the estimation of rotor flux and rotor speed in two sequential stages.  ... 
doi:10.11591/ijpeds.v8.i4.pp1841-1851 fatcat:puh4ravpc5aufhtllcl7koa76q

A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive

Boyu Yi, Longyun Kang, Kai Jiang, Yujian Lin
2013 Mathematical Problems in Engineering  
This paper presents an optimal two-stage extended Kalman filter (OTSEKF) for closed-loop flux, torque, and speed estimation of a permanent magnet synchronous motor (PMSM) to achieve sensorless DTC-SVPWM  ...  The OTSEKF is an effective implementation of the extended Kalman filter (EKF) and provides a recursive optimum state estimation for PMSMs using terminal signals that may be polluted by noise.  ...  12 Mathematical Problems in Engineering complexion and allows us to use cheaper DSP in practical application.  ... 
doi:10.1155/2013/768736 fatcat:lmvoa5ozqvgdtmef2ebctptyau

Speed estimation for an induction motor using the extended Kalman filter

S. Chavez Velazquez, R.A. Palomares, A.N. Segura
2004 14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004.  
Higher reliability Increased noise immunity Unaffected machine inertia This article describes the Discretized Extended Kalman Filter for speed estimation of a squirrel-cage induction motor.  ...  Estimators using artificial intelligence (neural network, fuzzy-logic-based systems, fuzzy-neural networks, etc.) Extended Kalman Filter, EKF 2.1 Assumptions about the w and v noises.  ...  Conclusions Estimated speed analysis An extended Kalman Filter was implemented for speed estimation both using simulations and realtime testing.  ... 
doi:10.1109/icecc.2004.1269550 dblp:conf/conielecomp/VelazquezPS04 fatcat:tpoydbhgtjhltj2lyxhvc3dzsy

Sensorless Control of IPMSM Drive using EKF with Electromegnetic Noise Effect

K Narasimhaiah Achari, D V Ashok Kumar, M Vijaya Kumar
2018 International Journal of Power Electronics and Drive Systems  
Normally in rotary condition, rotor position and speed estimation of IPMSM drive are drawn through an Extended Kalman Filter (EKF) algorithm by measuring its voltages and currents of the stator.  ...  The armature current, rotor position, and speed estimation are analyzed under this noise signal effect and the effectiveness of the EKF for sensorless control of IPMSM drive is observed.  ...  EXTENDED KALMAN FILTER FOR PARAMETER ESTIMATION An EKF has been used for broad range speed applications in drive control and on line parameter estimation.  ... 
doi:10.11591/ijpeds.v9.i1.pp157-165 fatcat:2ox3rwdypvhgpdslzfydgv4jta

Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter

M. H. Lazreg, A. Bentaallah
2019 Iranian Journal of Electrical and Electronic Engineering  
In order to reduce the number of sensors used, and thus the cost of installation, Extended Kalman filter is used to estimate the rotor speed.  ...  This article presents a sensorless five level DTC control based on neural networks using Extended Kalman Filter (EKF) applied to Double Star Induction Machine (DSIM).  ...  The authors would like to thank the members of laboratory Intelligent Control and Electrical power Systems (ICEPS) for their precious suggestions.  ... 
doaj:607af18dfd4b4551bbae7347c574685f fatcat:6znzkjdedfcwroglmmols7turm

Fault Tolerant Control Using Artificial Neural Network

F. Mekhalfia, D.E. Khodja, S. Chakroune
2019 Advances in Modelling and Analysis C  
In this article, a fault tolerance control based on a neural network for an induction machine is proposed, and a fault-tolerant command via backstepping control and based on an extended Kalman filter is  ...  Using the residual signal generated from some calculation passing through the filter, a fault compensation loop of the neural network is introduced.  ...  EKF : Extended kalman filter.  ... 
doi:10.18280/ama_c.742-402 fatcat:24fgda3rezdgtcx4ztlc232e2i

Dynamic Performance of Estimator-based Speed Sensorless Control of Induction Machines Using Extended and Unscented Kalman Filters

Krisztián Horváth, Márton Kuslits
2018 Power Electronics and Drives  
In this work, two different variants of the control algorithm are developed based on the extended and the unscented Kalman filters (EKF, UKF) as state estimators.  ...  This paper presents an estimator-based speed sensorless field-oriented control (FOC) method for induction machines, where the state estimator is based on a self-contained, non-linear model.  ...  In the work of Kumar et al. (2011) , two components of stator current, two components of rotor flux and the mechanical speed of the rotor are estimated by UKF.  ... 
doi:10.2478/pead-2018-0003 fatcat:myfs3yzg5ncmdhvajytgbwnuim

Full Predictive Cascaded Speed and Current Control of an Induction Machine

Cristian Garcia, Jose Rodriguez, Cesar Silva, Christian Rojas, Pericle Zanchetta, Haitham Abu-Rub
2016 IEEE transactions on energy conversion  
Rub, Haitham (2016) Full predictive cascaded speed and current control of an induction machine. IEEE Transactions on Energy Conversion, 31 (3).  ...  ACKNOWLEDGMENT The authors acknowledge the support provided by Universidad Tecnica Federico Santa Maria, by CCTVal (FB0821) and the Chilean National Fund of Scientific and Technological Development (FONDECYT  ...  ) under Grants 1120683 and 1150829.  ... 
doi:10.1109/tec.2016.2559940 fatcat:3gcxhzjqxvcm7l25zeo5chpvrq

Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor Drive using Extended Kalman Filter

Mini R, Saranya C, B. Hariram Satheesh, Dinesh M.N.
2015 International Journal of Power Electronics and Drive Systems  
Low speed estimation is a great challenge because of the presence of transient offset, drift and domination of ohmic voltage drop.Extended Kalman filter (EKF) is a non linear adaptive filter which performs  ...  The performance of the DTC drive depends greatly on the accuracy of the estimated flux components, torque and speed, using monitored stator voltages and currents.  ...  State space representation of IM with current, flux and speed as state variables involve nonlinear differential equations; hence an extended version of the Kalman filter known as Extended Kalman Filter  ... 
doi:10.11591/ijpeds.v6.i4.pp819-830 fatcat:vddu6so4sbdzpimsxg42tzymsa

EV Propulsion with torque estimation on permanent magnet synchronous motor PMSM and Induction machine IM

ESSAM ARIFI
2022 Zenodo  
They can be engineered to work over a wide torque speed range whereas delivering greater torque and power density.  ...  Mostly with rising electrification of transportation, a thorough grasp of the parameters utilized in motor selection is becoming increasingly crucial for electric vehicles.  ...  HAMIDA for their support and opportunity to complete their comparative lecture review for their Master researches field for next education. [1]. [2] - [26] ,  ... 
doi:10.5281/zenodo.5813958 fatcat:rva7gl4r5rcexmw2yms4fx4s7m

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)  
This paper provides a brief overview of the industrial applications and implementation issues of the Kalman filter in six topics of the industrial electronics community, highlighting some relevant reference  ...  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  ...  Thus, in [56] , the authors have reached a cost reduction of 2.7 compared to the standard solution for a 5th-order Extended Kalman filter used to estimate the speed and flux vector components of an induction  ... 
doi:10.1109/tie.2012.2236994 fatcat:fvcjlkritfashfnqr5dkti5eiu

Adaptive Two-Stage Extended Kalman Filter Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor

Boyu Yi, Longyun Kang, Sinian Tao, Xianxian Zhao, Zhaoxia Jing
2013 Mathematical Problems in Engineering  
Combining the advantages of both AFEKF and TSEKF, this paper presents an adaptive two-stage extended Kalman filter (ATEKF) for closed-loop position and speed estimation of a PMSM to achieve sensorless  ...  The two-stage extended Kalman filter (TSEKF) with respect to this problem has been extensively studied in the past.  ...  Acknowledgment This work is supported by the National Natural Science Foundation of China under Grant no. 51377058.  ... 
doi:10.1155/2013/974974 fatcat:vmlolmsrpre6djpavotmf2dsfe

Machine model based Speed Estimation Schemes for Speed Encoderless Induction Motor Drives: A Survey

Mohan Krishna.S, Febin Daya.J.L
2015 Bulletin of Electrical Engineering and Informatics  
There are several approaches to speed estimation of an induction motor.  ...  This paper, through a brief literature survey, attempts to give an overview of the fundamentals and the current trends in various machine model based speed estimation techniques which have occupied and  ...  As we already know, Extended Kalman Filters make use of a linearised model of a non linear dynamic system.  ... 
doi:10.11591/eei.v4i1.303 fatcat:vy6ayrm6unbfteoi3k4vacaoh4
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