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Proceedings ArticleDOI

Adaptive partial feedback linearization of induction motors

Riccardo Marino, +2 more
- pp 3313-3318
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TLDR
In this paper, a nonlinear adaptive state feedback input-output linearizing control is designed for a fifth-order model of an induction motor which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits.
Abstract
A nonlinear adaptive state feedback input-output linearizing control is designed for a fifth-order model of an induction motor which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits. The control algorithm contains a nonlinear identification scheme which asymptotically tracks the true values of the load torque and rotor resistance, which are assumed to be constant but unknown. Once those parameters are identified, the two control goals of regulating rotor speed and rotor flux amplitude are decoupled. Full state measurements are required. Preliminary simulations show that a good performance is maintained when flux signals are provided to the adaptive control algorithm. >

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Citations
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Journal ArticleDOI

Adaptive input-output linearizing control of induction motors

TL;DR: A nonlinear adaptive state feedback input-output linearizing control is designed for a fifth-order model of an induction motor which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits.
Journal ArticleDOI

High-performance nonlinear feedback control of a permanent magnet stepper motor

TL;DR: The permanent magnet stepper motor is considered for use in high-performance positioning systems and a model-based control law is developed using the exact linearization methodology and implemented on an industrial setup.
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

High-performance induction motor control via input-output linearization

TL;DR: In this article, a current-command input-output linearization controller was proposed to achieve high performance motion control, that is, the precise tracking of a fast point-to-point position reference.
Journal ArticleDOI

On speed control of induction motors

TL;DR: It is shown that if the inverter can be modelled as a current source and the desired speed is constant, the passivity-based scheme exactly reduces to the wellknown indirect field-oriented control scheme, hence providing a solid theoretical foundation to this popular control strategy.
References
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Book

Control of Electrical Drives

TL;DR: In this paper, the authors describe the motion of a drive with Lumped Inertia and two Axes Drive in Polar Coordinates, and the integration of the simplified Equation of Motion.
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.
Journal ArticleDOI

Adaptive control of linearizable systems

TL;DR: In this paper, the adaptive control of minimum-phase nonlinear systems which are exactly input-output linearizable by state feedback is discussed. But the application of the adaptive technique to control of robot manipulators is discussed only in the continuous-time case.
Journal ArticleDOI

Simulation of Symmetrical Induction Machinery

TL;DR: The effectiveness of an analog computer in studying the performance of induction machinery is demonstrated with computer results which show the dynamic behavior of 2-phase and 3-phase machines during balanced and unbalanced operation.