Real-time sliding-mode observer and control of an induction motor

Benchaib, Abdelkrim; Rachid, A.; Audrezet, E.; Tadjine, Mohamed

doi:10.1109/41.744404

Cited by 144 publications

(56 citation statements)

References 11 publications

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“…By structure, observer based on sliding mode approach is very similar to the standard full order observer with replacement of the linear corrective terms by a discontinuous function [8].…”

Section: Sliding Mode Observer Designmentioning

confidence: 99%

“…This control technique allows good steady state and good dynamic behavior in the presence of system parameters variation and disturbances [4][5][6]. Several methods of applying sliding mode control to induction motor drives have been presented [4][5][6][7][8]. All of these methods have a common feature: the analysis and design of the sliding mode controller are based on the mathematical model of the induction motor as used in indirect vector control.…”

Section: Introductionmentioning

confidence: 98%

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Adaptive sliding mode observer for induction motor using two-time-scale approach

Mezouar

Fellah

Hadjeri

2007

Electric Power Systems Research

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“…By structure, observer based on sliding mode approach is very similar to the standard full order observer with replacement of the linear corrective terms by a discontinuous function [8].…”

Section: Sliding Mode Observer Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Adaptive sliding mode observer for induction motor using two-time-scale approach

Mezouar

Fellah

Hadjeri

2007

Electric Power Systems Research

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“…Secondly, state estimation is also useful to keep the affordable cost of the system if the available sensors are too expensive to implement in mass production. Various state estimation techniques have been proposed, such as Luenberger observer (1) , sliding mode observer (2) , Kalman filter (3) , extended Kalman filter (4) , and unscented Kalman filter (5) . An important issue is that in various motion control applications, it is required to deal with the delayed measurement in state estimation design (Fig.…”

Section: Introductionmentioning

confidence: 99%

Upper-Bound-Based State Estimation with Large-Time-Delay Measurement and Its Applications to Motion Control

2016

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In many motion control applications, it is essential to handle a delayed measurement to estimate the unknown states correctly. However, a literature review shows that difficulties still remain if the delay time is quite large in comparison with the period of the control input. For instance, some methods need to increase the size of the original system considerably. This paper describes a novel filter for a linear system with a large-time-delay measurement. By utilizing the norm-bound scheme based on a matrix inequality, the upper-bound of the estimation error covariance is obtained, and the filter gain can be computed easily. The proposed algorithm is almost similar to the standard Kalman filter without any increase in the dimension of the system. The algorithm is developed for two cases: Case 1: considering only a delayed measurement and Case 2: considering the fusion of delayed and nondelayed measurements. Two motion control applications are performed to verify the algorithm: sideslip angle estimation for vehicle motion control and target position estimation for visual servo control.

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“…The sliding mode control and estimation algorithms have been combined together in [27], also to create the so-called sensorless algorithms [28][29].…”

Section: Introductionmentioning

confidence: 99%

Unified approach to the sliding-mode control and state estimation – application to the induction motor drive

Orłowska-Kowalska¹,

Tarchała²

2013

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. In this paper a generalized design procedure of the sliding mode systems is described. A unified approach is applied to control and state variables estimation algorithms. Selected solutions are then applied in the induction motor drive system. An identical design procedure is used to design the speed control and MRAS-type speed estimator. Presented algorithms are verified using experimental tests performed on the 3 kW laboratory setup.

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Real-time sliding-mode observer and control of an induction motor

Cited by 144 publications

References 11 publications

Adaptive sliding mode observer for induction motor using two-time-scale approach

Adaptive sliding mode observer for induction motor using two-time-scale approach

Upper-Bound-Based State Estimation with Large-Time-Delay Measurement and Its Applications to Motion Control

Unified approach to the sliding-mode control and state estimation – application to the induction motor drive

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