On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Ghanes, Malek; Zheng, Gang

doi:10.1109/tie.2009.2026387

Cited by 112 publications

(48 citation statements)

References 25 publications

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“…However, operating conditions may lead to the unobservability of some variables or parameters. For a stator frequency close to zero, the induced rotor voltage takes very small values and thus the estimation of the speed of an IM [67] or the estimation of the rotor position of a PMSM [68] becomes impossible. In addition, the simultaneous estimation of the rotor speed and the rotor resistance of an IM fails under constant flux operation or at no-load condition in steady state with a very low and zero speed [25], [54].…”

Section: E New Trendsmentioning

confidence: 99%

Industrial Applications of the Kalman Filter: A Review

Auger

Hilairet

Guerrero

et al. 2013

IEEE Trans. Ind. Electron.

498

188

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Abstract-The Kalman filter has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 70s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing and so on. This paper provides a brief overview of the industrial applications and implementation issues of the Kalman filter in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.

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Section: E New Trendsmentioning

confidence: 99%

Industrial Applications of the Kalman Filter: A Review

Auger

Hilairet

Guerrero

et al. 2013

IEEE Trans. Ind. Electron.

498

188

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“…The insensitivity of the controlled system to uncertainties exists in the sliding mode, but not during the reaching phase. Thus, the system dynamic in the reaching phase continues to be influenced by uncertainties (Utkin 1993;Wai 2000;Ghanes and Zheng 2009;Boucheta et al 2012).…”

Section: Sliding Mode Control Designmentioning

confidence: 99%

Contribution to Study Performance of the Induction Motor by Sliding Mode Control and Field Oriented Control

Assia

Toufouti

Dib

2014

Advances and Applications in Sliding Mode Control Systems

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The induction motor squirrel cage that is deemed by its strength, high torque mass, robustness, and its relatively low cost ... etc., meanwhile, it benefited from the support of industry since its invention (invention by Tesla the late nineteenth century). Unfortunately, these advantages are accompanied by a high complexity of the physical interactions between the stator and the rotor. Therefore, dynamic control requires complex control algorithms in contrast to its structural simplicity. In recent decades, many techniques of control of the induction machine, such as technical oriented control or Field Oriented control, have emerged and are currently used to enjoy the benefits of the asynchronous machine for applications where variable speed is essential. The high operating control of the induction machine began with the invention of the oriented vector control in the late 60s flux. Before that time control of the induction machine was limited to scalar commands. This operating control does not provide a decoupling between the flux and torque. To illustrate this, the torque of a cage induction motor has to be increased by increasing the slip, the flux is affected by a decrease; therefore the torque control is dependent of the stream, for this the inherent coupling between these two variables makes conventional techniques less efficient. To solve these problems this paper seeks to analyze dynamical performances and sensitivity to induction motor parameter changes, two techniques are applied Sliding Mode Control and Field Oriented Control. For this, this design on the basis of some simulations results is illustrated with different functions in order to illustrate its efficiency and make comparison between the two techniques; Numerical simulations are presented to validate the proposed methods. The objective of this paper is to guarantee the desired performance of the induction motor, robust to the parameters variations, disturbances, and reach the speed of rotation at the speed desired in a minimum response time. Nomenculturer, s : Subscripts stand for rotor and stator;

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“…The adaptive observer can be expressed by (8) wherex is the vector composed by DQ components of estimated stator current and estimated rotor flux (9), K is a gain matrix defined by (10) and (11). Currentsι Ds andι Qs are estimated and compared with those ones measured to produce an error variable for the sliding observer estimate the rotor flux components and thus the rotor speed.…”

Section: Rotor Flux Estimationmentioning

confidence: 99%

“…References [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] resume some of the research proposed in the last years, together with other techniques as, for example, using high gain observers [19,20]. However, the influence of the constants and motor parameters deviation on the adaptive observer performance has been little considered.…”

Section: Introductionmentioning

confidence: 99%

Influence of Constant Values and Motor Parameters Deviations on the Performance of the Adaptive Slidingmode Observer in a Sensorless Induction Motor Drive

Branco¹,

Ferraz²

2011

PIER B

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Abstract-The adaptive sliding-mode observer has been widely used to estimate the rotor flux and rotor speed in inverter-fed sensorless induction motor drives. However, the technique requires setting a priori the sliding-mode observer constants and also knowledge of the induction motor parameters. This particular aspect can cause significant errors in the estimation of the rotor speed used in sensorless control schemes. Changes in the induction machine parameters due to temperature or different saturation levels will affect the dynamic operation of the observer despite its adaptive nature. In this context, a sensitivity study of the adaptive sliding-mode observer is presented and discussed in this paper. Various experiments are performed on a sensorless indirect vector-controlled induction motor drive under a variety of conditions to verify the observer robustness.

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On Sensorless Induction Motor Drives: Sliding-Mode Observer and Output Feedback Controller

Cited by 112 publications

References 25 publications

Industrial Applications of the Kalman Filter: A Review

Industrial Applications of the Kalman Filter: A Review

Contribution to Study Performance of the Induction Motor by Sliding Mode Control and Field Oriented Control

Influence of Constant Values and Motor Parameters Deviations on the Performance of the Adaptive Slidingmode Observer in a Sensorless Induction Motor Drive

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