Proceedings ArticleDOI
Implementation of a speed sensor-less vector control of induction motor by reduced-order extended Kalman filter
Young-Seok Kim,Sang-Uk Kim,Lee-Woo Yang +2 more
- Vol. 1, pp 197-203
TLDR
In this paper, a reduced-order extended Kalman filter (EKF) was proposed to estimate rotor speed and flux estimation only by measuring stator currents, which has some advantages of saving computation time in comparison with the full-order EKF.Abstract:
The extended Kalman filter (EKF) has been known to be correctly capable of estimating system parameters and state variables by eliminating virtually all influences of structural noise in the field-oriented control scheme for induction motors. This paper presents a design method of a reduced-order extended Kalman filter which consists of rotor speed and flux estimation only by measuring stator currents. The proposed method has some advantages of saving computation time in comparison with the full-order extended Kalman filter. For the noise reduction, robust speed sensorless vector control is realized in the thesis. Experimental results show the effectiveness of the control strategy proposed here for induction motor drives. >read more
Citations
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Journal ArticleDOI
A new current model flux observer for wide speed range sensorless control of an induction machine
TL;DR: In this paper, a new closed loop current model flux observer is designed to estimate the rotor flux, position and velocity of an induction machine, and the rotor speed can then be derived from the sliding mode functions and the estimated flux.
Proceedings ArticleDOI
Reduced-Order Linear Kalman Filter (RLKF) Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor(PMSM)
TL;DR: In this article, a sensorless technique for PMSM based on reduced-order linear Kalman filter (RLKF) or LKF was proposed to obtain higher precision, faster tuning on parameters than EKF and excellent dynamic speed response.
Journal ArticleDOI
Variable Speed Drive Characterization: Review of Measurement Techniques and Future Trends
TL;DR: In this paper, the state and the trends of measurement techniques and instruments applied for the experimental characterization of variable speed drives are reviewed, and a survey of the state-of-the-art is presented.
Adaptive sliding mode observer and loss minimization for sensorless field orientation control of induction machine
TL;DR: The author’s aim has been to provide a chronology of the events leading up to and including the publication of this book.
Journal Article
Leqg/ltr controller design with extended kalman filter for sensorless induction motor servo drive
TL;DR: In this paper, the authors employed the Linear Exponential Quadratic Gaussian with Loop Transfer Recovery (LEQG/LTR) methodology for the design of high performance induction motor servo systems.
References
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Journal ArticleDOI
An extended Kalman filter approach to rotor time constant measurement in PWM induction motor drives
TL;DR: In this paper, an extended Kalman filter is employed to estimate the inverse rotor time constant online only using measurements of the stator voltages and currents and rotor speed of an induction motor.
Journal ArticleDOI
Observers for induction motor state and parameter estimation
TL;DR: In this article, an extended Kalman filter is applied to the problem of estimating induction motor rotor currents in a vector control scheme, which combines information from the plant model with output measurements to produce an optimal estimate of the unmeasured states.
Proceedings ArticleDOI
Speed sensorless vector control of an induction motor using an extended Kalman filter
TL;DR: In this article, the vector control of an induction motor by speed estimation using an extended Kalman filter (EKF) is described, where the rotor speed is regarded as a parameter, and the composite state is composed of the original state and the speed.
Proceedings ArticleDOI
Reduced-order observers for linear discrete-time systems
TL;DR: Luenberger's observer is considered as an alternate to the Kalman filter for obtaining state estimates in linear discrete-time stochastic systems in this article, and an interesting new solution to the problem of constructing optimal and suboptimal reduced-order observers is presented.
Journal ArticleDOI
Direct Field Oriented Control of Induction Motor without Speed Sensors using Adaptive Flux Observer
TL;DR: In this paper, a new method of estimating the induction motor speed based on the adaptive control theory is proposed, which can be applied to not only the indirect field oriented control but also the direct field-oriented control.
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