Lyapunov-function-based flux and speed observer for AC induction motor sensorless control and parameters estimation

Václavek, Pavel; Blaha, P.

doi:10.1109/tie.2005.862305

Cited by 72 publications

(22 citation statements)

References 12 publications

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“…The observers based on Lyapunov theory give sufficient conditions for the existence of the observer for nonlinear systems [7,8,9]. It may be possible for the low order nonlinear systems to satisfy the conditions presented in the theorems based on Lyapunov theory but it is very difficult to find higher order nonlinear systems that can satisfy those conditions [10].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear robust observer design using an invariant manifold approach

Khan

Wagg

Sims

2016

Control Engineering Practice

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Section: Introductionmentioning

confidence: 99%

Nonlinear robust observer design using an invariant manifold approach

Khan

Wagg

Sims

2016

Control Engineering Practice

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“…Several DFO methods have been presented: some treat the IM as a time-invariant plant and use linear design methods [17]; other consider the IM a time-varying plant (since the speed varies) and use nonlinear design methods to design state or state-speed estimators [18]. The complexity of the estimation mathematics increases even more when, along with the IM state and speed, parameter estimation is also attempted [19] [20].…”

Section: Introductionmentioning

confidence: 99%

A speed adaptive sensorless flux observer for the induction motor drive using Sylvester criterion design

Comanescu

2016

2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

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The paper presents the design of a speed and flux observer for the sensorless induction motor (IM) drive. The design is based on the full-order model of the IM in the stationary reference frame. The proposed method consists of an observer with linear feedback that yields the motor fluxes and also estimates the speed using an adaptive law. Convergence conditions are formulated based on Lyapunov's nonlinear stability theory -the design of the feedback gains is done using Sylvester criterion. While this observer structure was discussed in the literature previously, the novelty of the method is given by the Sylvester criterion formulation -this uncovers interesting inequalities and offers insight into the design choices and stability margins of the observer. The method can be used to obtain the field orientation angle and speed needed in a sensorless IM drive. The theory is supported by simulations and experiments.

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“…Once these are found, the flux angle and magnitude can be calculated directly. Several DFO methods are available: depending on assumptions, there are two main approaches: some authors treat the IM as a timeinvariant plant and use linear (eigenvalue-based) design methods [14]; others consider that the IM is a time-varying plant (since the speed varies) and design estimators using nonlinear methods (Lyapunov-based) [15]. Some observers involve adaptation [17] [19][21] [26] while others combine state and parameter estimation [27] [28].…”

Section: Introductionmentioning

confidence: 99%

A double-manifold sliding mode observer for the speed and flux of the induction motor using an alternative state-space model

Comanescu

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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The paper presents a sensorless double-manifold sliding mode observer for the induction motor (IM) drive. The observer is designed using an alternative state-space model of the IM -it estimates the speed and the stationary frame fluxes of the motor. These are typically needed in an IM direct field orientation control scheme. First, the paper presents the alternative state-space model of the IM that is obtained from the traditional one using a change of variable. Based on this model, a Sliding Mode (SM) observer is designed. Sliding mode existence, observer convergence and gain design are discussed. The estimate of the speed is obtained by filtering one of the switching manifolds of the observer. Simulations show that the speed and flux estimates are fairly accurate. A sensitivity analysis with respect to the rotor and stator resistances and the magnetizing inductance is presented.

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Lyapunov-function-based flux and speed observer for AC induction motor sensorless control and parameters estimation

Cited by 72 publications

References 12 publications

Nonlinear robust observer design using an invariant manifold approach

Nonlinear robust observer design using an invariant manifold approach

A speed adaptive sensorless flux observer for the induction motor drive using Sylvester criterion design

A double-manifold sliding mode observer for the speed and flux of the induction motor using an alternative state-space model

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