Proceedings ArticleDOI
Recursive speed and parameter estimation for induction machines
Miguel Velez-Reyes,K. Minami,George C. Verghese +2 more
- pp 607-611
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TLDR
A hierarchical recursive algorithm is presented to estimate the rotor speed and parameters of the induction machine on the basis of measurements of the stator voltages and currents, which shows that this is a promising approach for online speed and parameter estimation.Abstract:
A hierarchical recursive algorithm is presented to estimate the rotor speed and parameters of the induction machine on the basis of measurements of the stator voltages and currents. Due to its recursive structure, this algorithm has the potential to be used for online estimation and adaptive control. The algorithm is designed using two linear regression models derived from the machine electrical equations. These models are valid when there is a time-scale separation between the electrical and mechanical subsystems of the machine. The resulting two-stage estimator has a fast stage which only estimates the rotor speed, and a slow stage in charge of parameter estimation. The performance of the algorithm is illustrated by means of simulations. The results obtained show that this is a promising approach for online speed and parameter estimation. >read more
Citations
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Proceedings ArticleDOI
Robust speed identification for speed sensorless vector control of induction motors
Fang-Zheng Peng,Tadashi Fukao +1 more
TL;DR: In this article, a new approach to estimate induction motor speed from measured terminal voltages and currents for speed-sensorless vector control is described. But this approach is not dependent upon the knowledge of the value of the stator resistance, nor is it affected by stator resist thermal variations.
Journal ArticleDOI
Speed sensorless field orientation control of the induction machine
H. Tajima,Yoichi Hori +1 more
TL;DR: In this paper, a speed estimation method for an induction machine and its application to a flux observer-based field orientation (FOFO) control system is presented, where the motor speed is estimated on the basis of the difference between two flux estimators.
Proceedings ArticleDOI
Real-time estimation of the parameters and fluxes of induction motors
TL;DR: In this paper, a method for real-time estimation of the parameters and fluxes of induction motors is presented, based on a standard model of the induction motor, expressed in rotor coordinates.
Journal ArticleDOI
Motion control with induction motors
TL;DR: An up-to-date summary of the status of induction motor motion control technology is the subject of this paper as discussed by the authors, which includes basic motion control system requirements, field orientation instantaneous torque control principles for induction motors (FO-IM), current regulators for induction motor MOT, flux and torque regulators for inductive motor MOT control; self commissioning and continuous self-tuning for field orientation.
Proceedings ArticleDOI
Adaptive-speed identification scheme for a vector-controlled speed sensorless inverter-induction motor drive
Geng Yang,Tung Hai Chin +1 more
TL;DR: In this article, a model reference adaptive control system for speed control of the vector-controlled inverter induction motor drive without a speed sensor is described, where the rotor speed is estimated with a full-order adaptive observer and is used as the feedback signal for the vector and speed controls.
References
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Book
Analysis of Electric Machinery
TL;DR: In this paper, the authors focus on the areas of electric power and electric drives and emphasize analysis and formulation for control applications and computer simulation, and present an industry reference for these areas.
Book
Adaptive Control: The Model Reference Approach
TL;DR: Taking a realistic approach, the author presents techniques for applying the theory to solving practical problems and shows how the designer of adaptive- control systems can draw on his knowledge of classical methods to better understand the adaptive-control problem.
Dissertation
Speed and parameter estimation for induction machines
TL;DR: Thesis (M.S. and Elec. E.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1988 as discussed by the authors, was the first work to address the problem of the nonlinearity of the spectrum.