Rotor Time

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Leon M. Tolbert - One of the best experts on this subject based on the ideXlab platform.

  • An Online Rotor Time Constant Estimator for the Induction Machine
    IEEE Transactions on Control Systems Technology, 2007
    Co-Authors: Kaiyu Wang, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    Indirect field-oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. Here, an online method is presented for estimating the Rotor Time constant and the stator resistance, both of which vary during operation of the machine due to ohmic heating. The method uses measurements of the stator voltages, stator currents, and their derivatives (first derivative of the voltages and both the first and second derivatives of the currents). The problem is formulated as finding those parameter values that best fit (in a least-squares sense) the model of the induction motor to the measured output data of the motor. This method guarantees that the parameter values are found in a finite number of steps. Experimental results of an online implementation are presented

  • Speed Sensorless Identification of the Rotor Time Constant in Induction Machines
    IEEE Transactions on Automatic Control, 2007
    Co-Authors: M.l. Campbell, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    A method is proposed to estimate the Rotor Time constant TR of an induction motor without measurements of the Rotor speed/position. The method consists of solving for the roots of a polynomial equation in TR whose coefficients depend only on the stator currents, stator voltages, and their derivatives. Experimental results are presented

  • Identification of the Rotor Time Constant in Induction Machines without Speed Sensor
    2006 CES IEEE 5th International Power Electronics and Motion Control Conference, 2006
    Co-Authors: John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    A differential-algebraic method is used to estimate the Rotor Time constant T R of an induction motor without measurements of the Rotor speed/position. The method consists of solving for the roots of a polynomial equation in T R whose coefficients depend only on the stator currents, stator voltages, and their derivatives. Experimental results are presented.

  • An online Rotor Time constant estimator for induction machine
    IEEE International Conference on Electric Machines and Drives 2005., 2005
    Co-Authors: Kaiyu Wang, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    Indirect field oriented control for induction machine requires the knowledge of Rotor Time constant to estimate the Rotor flux linkages. Here an online method for estimating the Rotor Time constant and stator resistance is presented. The problem is formulated as a nonlinear least-squares problem and a procedure is presented that guarantees the minimum is found in a finite number of steps. Experimental results are presented. Two different approaches to implementing the algorithm online are discussed. Simulations are also presented to show how the algorithm works online

  • Tracking the Rotor Time constant of an induction motor traction drive for HEVs
    Power Electronics in Transportation (IEEE Cat. No.04TH8756), 1
    Co-Authors: Kaiyu Wang, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    Field-oriented control methodology requires knowledge of the machine parameters, and in particular the Rotor Time constant. The interest here is in tracking the value of T/sub R/ as it changes due to ohmic heating so that an accurate value is available to estimate the Rotor flux for a field oriented controller. The approach presented here is a nonlinear least-squares method that uses only measurements of the stator currents and voltages along with the Rotor speed. The nature of this technique lends itself directly to an online implementation and therefore can be used to track the Rotor Time constant. Experimental results are presented to demonstrate the validity of the approach.

Marc Bodson - One of the best experts on this subject based on the ideXlab platform.

  • ACC - Online identification of the Rotor Time constant of an induction machine
    2009 American Control Conference, 2009
    Co-Authors: Ahmed Oteafy, John Chiasson, Marc Bodson
    Abstract:

    Indirect field oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. An online method is described for estimating the Rotor Time constant and the stator resistance both of which vary during operation of the machine due to ohmic heating. The method formulates the problem using a nonlinear least-squares criterion and is guaranteed to find the minimizing solution (parameter values) in a finite number of steps. In this work the algorithm has been implemented online in simulation with the results demonstrating its application and efficacy.

  • An Online Rotor Time Constant Estimator for the Induction Machine
    IEEE Transactions on Control Systems Technology, 2007
    Co-Authors: Kaiyu Wang, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    Indirect field-oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. Here, an online method is presented for estimating the Rotor Time constant and the stator resistance, both of which vary during operation of the machine due to ohmic heating. The method uses measurements of the stator voltages, stator currents, and their derivatives (first derivative of the voltages and both the first and second derivatives of the currents). The problem is formulated as finding those parameter values that best fit (in a least-squares sense) the model of the induction motor to the measured output data of the motor. This method guarantees that the parameter values are found in a finite number of steps. Experimental results of an online implementation are presented

  • Estimation of the Rotor Time constant of an induction machine at constant speed
    2007 European Control Conference (ECC), 2007
    Co-Authors: John Chiasson, Marc Bodson
    Abstract:

    Indirect field oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. Here an online method is presented for estimating the Rotor Time constant and the stator resistance both of which vary during operation of the machine due to ohmic heating. With the additional assumption of collecting the data while the motor runs at constant speed under load, two different methods are presented to estimate the Rotor Time constant and stator resistance. The first method formulates the problem using a nonlinear least-squares criterion and shows that the parameters that minimize the least-squares error can be found in a finite number of steps. The resulting algorithm requires significantly less computation than a previously reported algorithm by the authors developed under varying-speed conditions. The second method shows the parameters can also be found using a linear least-squares criterion provided that the Rotor flux magnitude is varied with the speed held constant.

  • Speed Sensorless Identification of the Rotor Time Constant in Induction Machines
    IEEE Transactions on Automatic Control, 2007
    Co-Authors: M.l. Campbell, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    A method is proposed to estimate the Rotor Time constant TR of an induction motor without measurements of the Rotor speed/position. The method consists of solving for the roots of a polynomial equation in TR whose coefficients depend only on the stator currents, stator voltages, and their derivatives. Experimental results are presented

  • Identification of the Rotor Time Constant in Induction Machines without Speed Sensor
    2006 CES IEEE 5th International Power Electronics and Motion Control Conference, 2006
    Co-Authors: John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    A differential-algebraic method is used to estimate the Rotor Time constant T R of an induction motor without measurements of the Rotor speed/position. The method consists of solving for the roots of a polynomial equation in T R whose coefficients depend only on the stator currents, stator voltages, and their derivatives. Experimental results are presented.

Mihai Comanescu - One of the best experts on this subject based on the ideXlab platform.

  • Design and implementation of a MRAS sliding mode observer for the inverse of the Rotor Time constant of the induction motor
    International Journal of Power Electronics, 2018
    Co-Authors: Mihai Comanescu
    Abstract:

    The paper presents an estimator for the inverse of the Rotor Time constant of the induction motor. Estimation is done using a sliding mode observer under the assumption that the stationary frame fluxes are known. With measured voltages, currents, and with known fluxes and speed, the paper develops an MRAS-type sliding mode observer. This works well under ideal conditions; however, if the speed is inaccurate or if the magnetising inductance saturates, the accuracy suffers. The paper develops a model for the saturated induction motor and attempts to also estimate the saturation level. In the second part, an observer with only a single set of feedback terms is developed. This is transformed into a sensorless observer by feeding it with a speed estimate (assumed inaccurate). The error in the estimated Rotor Time constant can be reduced by operating the motor drive with a low ratio of id to iq.

  • ICIT - Development of a robust sliding mode observer for the Rotor Time constant inverse of the induction motor
    2018 IEEE International Conference on Industrial Technology (ICIT), 2018
    Co-Authors: Mihai Comanescu
    Abstract:

    The paper presents a method to estimate the inverse of the Rotor Time constant of the induction motor. Estimation is done using a sliding mode observer which is developed based on the model of the motor in the synchronous reference frame. The method considers that the flux magnitude is known — this is estimated using a voltage model observer. In addition, the field-orientation angle is available; with this, the currents i d and i q are used to generate the feedback terms of the observer. The observer needs a speed signal and, since speed should not be measured, it is fed with a speed estimate (which is assumed inaccurate). Under these conditions, it is normal to have an inaccurate output; however, the paper proposes a gains design that allows to reduce the error in the estimated Rotor Time constant. Simulations and experiments validate the design.

  • Development of a flux, speed and Rotor Time constant estimation scheme for the sensorless induction motor drive
    2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED), 2017
    Co-Authors: Mihai Comanescu
    Abstract:

    The paper presents a control scheme for the sensorless induction motor that yields the estimates of the fluxes, motor speed and inverse of the Rotor Time constant. The motor is field-oriented using Direct Field Orientation — the stationary frame fluxes are obtained from a combined Current and Voltage Model Observer. The speed is obtained from a flux-based MRAS sliding mode observer. More importantly, the Rotor Time constant inverse is estimated from a sliding mode observer using a simple dynamic model. The availability of the Rotor Time constant improves the speed estimation accuracy and allows implementation of a more robust sensorless control scheme.

  • Design of estimators for the inverse of the Rotor Time constant of the induction motor with known flux
    2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED), 2017
    Co-Authors: Mihai Comanescu
    Abstract:

    The paper discusses two observer designs for estimation of the inverse of the Rotor Time constant of the induction motor. The paper presents the model and develops a linear and a sliding-mode observer. Estimation is based on the dynamic equation of the flux magnitude in the rotating reference frame. The stationary-frame fluxes are obtained using a voltage model observer — they are used for field orientation and also to compute the flux magnitude. Based on the measured voltages, currents, and with known flux, the paper estimates the Rotor Time constant inverse using a Pseudo-MRAS sliding mode observer. The paper also presents a linear observer, however, it is shown that this design does not perform. The method proposed is simple and is not highly computational. The sensitivity of the observer to the input quantities and motor parameters is studied. The theory is validated by computer simulations and experimental tests.

  • ICIT - Design of a pseudo-MRAS sliding mode observer with double feedback for estimation of the Rotor Time constant of the induction motor
    2017 IEEE International Conference on Industrial Technology (ICIT), 2017
    Co-Authors: Mihai Comanescu
    Abstract:

    The paper presents a method to estimate the inverse of the Rotor Time constant of the induction motor. The estimation is done using a sliding mode observer under the assumption that the stationary frame fluxes are known. These fluxes are first obtained using a voltage model observer; they are also used for field orientation. With measured voltages, currents, known fluxes and speed, the Rotor Time constant is estimated using a pseudo-MRAS sliding mode observer with dual feedback terms. The paper shows the design of this observer — this works well under ideal conditions. However, if the speed is inaccurate or if the magnetizing inductance saturates, the estimation accuracy suffers. The paper develops a model for the saturated induction motor and, using the equivalent controls that correspond to the sliding mode terms, attempts to estimate the saturation level — however, it is found that this is not possible.

John Chiasson - One of the best experts on this subject based on the ideXlab platform.

  • ACC - Online identification of the Rotor Time constant of an induction machine
    2009 American Control Conference, 2009
    Co-Authors: Ahmed Oteafy, John Chiasson, Marc Bodson
    Abstract:

    Indirect field oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. An online method is described for estimating the Rotor Time constant and the stator resistance both of which vary during operation of the machine due to ohmic heating. The method formulates the problem using a nonlinear least-squares criterion and is guaranteed to find the minimizing solution (parameter values) in a finite number of steps. In this work the algorithm has been implemented online in simulation with the results demonstrating its application and efficacy.

  • An Online Rotor Time Constant Estimator for the Induction Machine
    IEEE Transactions on Control Systems Technology, 2007
    Co-Authors: Kaiyu Wang, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    Indirect field-oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. Here, an online method is presented for estimating the Rotor Time constant and the stator resistance, both of which vary during operation of the machine due to ohmic heating. The method uses measurements of the stator voltages, stator currents, and their derivatives (first derivative of the voltages and both the first and second derivatives of the currents). The problem is formulated as finding those parameter values that best fit (in a least-squares sense) the model of the induction motor to the measured output data of the motor. This method guarantees that the parameter values are found in a finite number of steps. Experimental results of an online implementation are presented

  • Estimation of the Rotor Time constant of an induction machine at constant speed
    2007 European Control Conference (ECC), 2007
    Co-Authors: John Chiasson, Marc Bodson
    Abstract:

    Indirect field oriented control of an induction machine requires knowledge of the Rotor Time constant to estimate the Rotor flux linkages. Here an online method is presented for estimating the Rotor Time constant and the stator resistance both of which vary during operation of the machine due to ohmic heating. With the additional assumption of collecting the data while the motor runs at constant speed under load, two different methods are presented to estimate the Rotor Time constant and stator resistance. The first method formulates the problem using a nonlinear least-squares criterion and shows that the parameters that minimize the least-squares error can be found in a finite number of steps. The resulting algorithm requires significantly less computation than a previously reported algorithm by the authors developed under varying-speed conditions. The second method shows the parameters can also be found using a linear least-squares criterion provided that the Rotor flux magnitude is varied with the speed held constant.

  • Speed Sensorless Identification of the Rotor Time Constant in Induction Machines
    IEEE Transactions on Automatic Control, 2007
    Co-Authors: M.l. Campbell, John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    A method is proposed to estimate the Rotor Time constant TR of an induction motor without measurements of the Rotor speed/position. The method consists of solving for the roots of a polynomial equation in TR whose coefficients depend only on the stator currents, stator voltages, and their derivatives. Experimental results are presented

  • Identification of the Rotor Time Constant in Induction Machines without Speed Sensor
    2006 CES IEEE 5th International Power Electronics and Motion Control Conference, 2006
    Co-Authors: John Chiasson, Marc Bodson, Leon M. Tolbert
    Abstract:

    A differential-algebraic method is used to estimate the Rotor Time constant T R of an induction motor without measurements of the Rotor speed/position. The method consists of solving for the roots of a polynomial equation in T R whose coefficients depend only on the stator currents, stator voltages, and their derivatives. Experimental results are presented.

Faa-jeng Lin - One of the best experts on this subject based on the ideXlab platform.

  • Rotor Time-constant estimation approaches based on energy function and sliding mode for induction motor drive
    Electric Power Systems Research, 1999
    Co-Authors: Rong-jong Wai, Da-chung Liu, Faa-jeng Lin
    Abstract:

    Abstract To solve the problem of detuning due to parameter variations in the current decoupled control of a direct stator-flux-oriented induction motor (IM) drive, two approaches for the Rotor Time-constant estimation are presented in this study. The first approach is based on the model reference adaptive system (MRAS) using an energy function, and the second approach is based on the sliding mode technique. The estimated Rotor Time-constant is used in the current decoupled controller, which is designed to decouple the torque and flux in the stator flux field-oriented control. To increase the accuracy of the estimated Rotor Time-constant, the estimation methods are implemented using a digital signal processor (DSP). The effectiveness of the proposed estimation methods are demonstrated by some simulation and experimental results.

  • Induction motor servo drive with adaptive Rotor Time-constant estimation
    IEEE Transactions on Aerospace and Electronic Systems, 1998
    Co-Authors: Faa-jeng Lin, Ho-ming Su, Hong Pong Chen
    Abstract:

    An indirect filed-oriented induction motor (IM) position servo drive with adaptive Rotor Time-constant estimation and an on-line trained neural network controller is presented. First, the Rotor Time-constant is estimated real-Time on the basis of the model reference adaptive system (MRAS) theory. Next, a linear model-following controller (LMFC) is designed according to the estimated plant model to allow the state responses of the plant to follow the reference model. Then an augmented signal generated from the proposed neural network controller, whose connective weights are trained on-line according to the model-following error of the states, is added to the LMFC system to preserve a favorable model-following characteristic under various operating conditions

  • Robust control of induction motor drive with Rotor Time-constant adaptation
    Electric Power Systems Research, 1998
    Co-Authors: Faa-jeng Lin, Rong-jong Wai, Hsin-jang Shieh
    Abstract:

    In this paper, an indirect field-oriented induction motor drive with a Rotor Time-constant adaptation is presented. Since the deviated Rotor Time-constant of an induction motor makes the indirect field-orientation inaccurate, an adaptation mechanism is proposed to tune the Rotor Time-constant to establish a complete indirect field-oriented control for an induction motor drive. With the Rotor Time-constant adaptation, the indirect field-oriented control has the robustness property for decoupling torque and flux components. In order to further insure the robustness of the servo control, a novel variable-structure speed controller is proposed under the adaptive field-orientation operation. A novel sliding surface with an integral component for the variable structure speed controller is designed, and exponential convergence in speed-tracking control is obtained. Using the proposed variable-structure speed controller, the insensitivity for parameter uncertainty and disturbance load is provided. Finally, a simulation and experimental results are demonstrated.

  • Adaptive estimation of Rotor Time constant for indirect field-oriented induction motor drive
    IEE Proceedings - Electric Power Applications, 1998
    Co-Authors: Hsin-jang Shieh, Kuo-kai Shyu, Faa-jeng Lin
    Abstract:

    A novel estimation model based adaptive control for indirect field-oriented induction motor drive is presented. A new coordinate reference frame is utilised to describe the dynamical model of an induction motor. Then, the new reference frame based estimator is proposed to adaptively estimate the redefined state variables and the Rotor Time constant, necessarily used in indirect field-oriented control. Moreover, a modified estimation model also based on the same reference frame is further presented to simplify the estimation and adaptation computation. By utilisation of the estimation approach, robust indirect-field-oriented control with respect to Rotor Time constant variation due to the effect of thermal changes is obtained. Finally, simulation and experimental results demonstrate the validity of the approach for practical applications.

  • A high-performance induction motor drive with on-line Rotor Time-constant estimation
    IEEE Transactions on Energy Conversion, 1997
    Co-Authors: Faa-jeng Lin
    Abstract:

    A high-performance induction motor (IM) speed drive with online adaptive Rotor Time-constant estimation and a proposed recursive least square (RLS) estimator is introduced in this paper. The estimation of the Rotor Time-constant is on the basis of the model reference adaptive system (MRAS) theory; and the Rotor inertia constant, the damping constant and the disturbed load torque of the IM are estimated by the proposed RLS estimator, which is composed of an RLS estimator and a torque observer. Moreover, an integral proportional (IP) speed controller is designed online according to the estimated Rotor parameters; and the observed disturbance torque is fed forward to increase the robustness of the induction motor speed drive.

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