A survey on sliding mode control strategies for induction motors

Panchade, V. M.; Chile, R. H.; Patre, B. M.

doi:10.1016/j.arcontrol.2013.09.008

Cited by 63 publications

(31 citation statements)

References 94 publications

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“…However, the use of speed sensor is associated with some drawbacks, such as, requirement of shaft extension, reduction of mechanical robustness of the motor drive, and nonsuitabality for hostile environments and also it is of high cost [4][5][6][7]. This drawback has made speed sensorless DTFC of IMD very attractive over the conventional speed sensored DTFC of IM drive [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Over the past years, several methods have been proposed for rotor speed estimation of an IMD [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. They are: (i) signal injection method [7], (ii) state observer method [8][9] and (iii) MRAS method [10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…However, the PIC scheme unable to provide the satisfactory performance under sudden change in speed and various load torque disturbance conditions, respectively. Therefore, adaptive control based adaptation mechanism schemes are highly desirable to get high performance sensorless drive, such as sliding mode controller (SMC) [12] [16][17][18], T1FLC [19][20][21][22][23][24][25][26][27] and T2FLC [28][29][30][31][32][33][34][35][36][37][38][39][40]. The SMC is a nonlinear control and offers good steady state as well as transient performance.…”

Section: Introductionmentioning

confidence: 99%

“…They are: (i) signal injection method [7], (ii) state observer method [8][9] and (iii) MRAS method [10][11][12][13][14][15][16][17]. The signal injection method suffers from computational complexity and requirement of external hardware for the signal injection.…”

Section: Introductionmentioning

confidence: 99%

“…However, it has the demerit of chattering phenomenon. Among these methods, the MRAS based speed estimation seems the most common employed strategy due to their attractive features and simple compared to signal injection method [10][11][12][13][14][15][16][17]. The popular MRAS schemes are: Back-emf [11], rotor-flux [12], reactive power [13] and active power [14].…”

Section: Introductionmentioning

confidence: 99%

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Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive

2015

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive

2015

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Experimental Investigation of Passive Fault Tolerant Control for Induction Machine Using Sliding Mode Approach

Guezmil

Berriri

Pusca

et al. 2018

Asian Journal of Control

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This paper presents a passive fault tolerant control approach dedicated to stator inter-turn short-circuit fault of an induction machine. This control is based on sliding mode strategy and is implemented for validation on real-time data acquisition and control platform. The proposed work highlights the integral sliding mode controller benefits during healthy and faulty operations. It can make the induction machine outputs to track their desired reference signals in finite-time and allows to obtain a better dynamic response performances even in presence of fault. Moreover to avoid the use of a flux sensor, a second order sliding mode observer is used to estimate the rotor flux. Since the used observer converges in finite time, the closed-loop stability of the proposed system (controller+observer) is proved using the Lyapunov stability theorem. Experimental results are conducted for squirrel cage induction machine to highlight the efficiency and applicability of the proposed fault tolerant control.

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Rotor-flux-based MRAS speed estimator for DTFC-SVM of a speed sensorless induction motor drive using Type-1 and Type-2 fuzzy logic controllers over a wide speed range

Panda

Ramesh

Kumar

2016

Int. Trans. Electr. Energ. Syst.

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Summary In this research study, Type‐1 and Type‐2 fuzzy logic controller‐based model reference adaptive system speed estimator for direct torque and flux control with space vector modulation of a speed sensorless induction motor drive is proposed to replace the conventional proportional‐integral controller. Initially, Type‐1 fuzzy logic controller is developed, which is used to achieve high performance sensorless drive in both transient as well as steady state conditions. However, the Type‐1 fuzzy sets are certain and unable to work effectively when higher degree of uncertainties in the system which can be caused by sudden change in speed or different load torque disturbances, process noise, etc. Therefore, a new Type‐2 fuzzy logic controller‐based adaptation scheme is proposed to better handle the higher degree of uncertainties along with enhancing the performance and also robust to various load torque and sudden change in speed conditions respectively. The detailed performances of various control schemes are carried out in MATLAB/SIMULINK with speed sensor and sensorless modes of operation when an induction motor drive is operating under different conditions, such as no‐load, load, sudden change in speed and low speed respectively. To validate the different control approaches, an experimental prototype is developed and adequate results are reported for its validation. Superior performance has been obtained using the Type‐2 fuzzy logic controller scheme in speed sensor and sensorless modes of operation compared with Type‐1 fuzzy logic controller and proportional‐integral controller based adaptation schemes respectively. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

A survey on sliding mode control strategies for induction motors

Cited by 63 publications

References 94 publications

Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive

Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive

Experimental Investigation of Passive Fault Tolerant Control for Induction Machine Using Sliding Mode Approach

Rotor-flux-based MRAS speed estimator for DTFC-SVM of a speed sensorless induction motor drive using Type-1 and Type-2 fuzzy logic controllers over a wide speed range

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