High-performance motion control of an induction motor by input-output linearization

Bodson, Marc; Chiasson, John; Novotnak, R.T.

doi:10.1109/cdc.1993.325840

Cited by 50 publications

(80 citation statements)

References 15 publications

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“…The group of modern nonlinear methods developed in the last decade, like exact linearization [12][13][14], passivity based and backstepping designs [15] are not included in the book. There is no doubt that they will offer a new, interesting perspective for future research.…”

Section: Discussionmentioning

confidence: 99%

Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice‐Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0‐13‐0910147

Kaźmierkowski

2004

Intl J Robust & Nonlinear

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Section: Discussionmentioning

confidence: 99%

Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice‐Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0‐13‐0910147

Kaźmierkowski

2004

Intl J Robust & Nonlinear

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“…Consider a state-space model of the system given by (cf. [2], [17], [18]) (1) where with as the position of the rotor, is the number of pole pairs, are the (two-phase equivalent) stator currents, are the (two-phase equivalent) rotor flux linkages, and are the (two-phase equivalent) stator voltages.…”

Section: Induction Motor Modelmentioning

confidence: 99%

“…That is, small changes in the data , lead to large changes in the value computed for . To get around this problem, a nonlinear least-squares approach is taken which involves minimizing (18) subject to the constraints (13), where On physical grounds, the parameters are constrained to the region (19) Also, based on physical grounds, the squared error will be minimized in the interior of this region. Define the new error function as…”

Section: Least-squares Identification [19]-[21]mentioning

confidence: 99%

An online rotor time constant estimator for induction machine

Wang

Chiasson

Bodson

et al. 2005

IEEE International Conference on Electric Machines and Drives, 2005.

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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.

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“…This is the basis for field-oriented control in general. More information about input-output linearization of an induction motor via field-oriented control may be found in [48].…”

Section: Basic Control Scheme Overviewmentioning

confidence: 99%

Robust Adaptive Control

Kosut¹

1989

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In this thesis, a robust adaptive control scheme is proposed in order to drive an induction motor with high performance, even in the presence of unknown machine electrical parameters. Magnetic saturation within an induction motor results in nonlinear, changing flux dynamics. Also, rotor resistance changes with temperature as the machine is heated due to normal use, resulting in more parametric uncertainty. The proposed control scheme will cause the motor to track a desired reference model behavior, even in the presence of these unknown parameters. An adaptive control scheme known as L 1 adaptive control is used to ensure that this reference model behavior is realistic, so that robustness may be maintained even with very fast adaptation. This controller is limited by the flux observer used to provide information about flux magnitude and direction.ii

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High-performance motion control of an induction motor by input-output linearization

Cited by 50 publications

References 15 publications

Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice‐Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0‐13‐0910147

Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice‐Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0‐13‐0910147

An online rotor time constant estimator for induction machine

Robust Adaptive Control

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