2018
DOI: 10.1109/tie.2018.2811362
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Adaptive Speed Control of Induction Motor Drive With Inaccurate Model

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Cited by 76 publications
(46 citation statements)
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“…The most used control strategies for IM motor are Field Oriented Control (FOC) [11][12][13][14] and Direct Torque Control (DTC) [15][16][17]. Compared to FOC, DTC provides many advantages such as (i) simple implementation (ii) absence of current controllers, (iii) quick response control, (iv) less machine parameter dependence [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…The most used control strategies for IM motor are Field Oriented Control (FOC) [11][12][13][14] and Direct Torque Control (DTC) [15][16][17]. Compared to FOC, DTC provides many advantages such as (i) simple implementation (ii) absence of current controllers, (iii) quick response control, (iv) less machine parameter dependence [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…The latter is vector control based on a dynamic mathematical model of the motor [15], [16]. Vector control theories and methods mainly include adaptive control [17][18][19][20], inverse dynamics control [21][22][23], fuzzy control [24], [25], back-stepping control [26], and sliding mode control [27][28][29]. However, these energy-saving methods and measures aimed at regulating the motor speed have no significant energysaving effects, and the designs of these controllers are more complex.…”
Section: Introductionmentioning
confidence: 99%
“…However, it requires dealing with problems related to the non-linearity in the mathematical model, which is mainly due to the internal coupling between the states variables, and the parametric variations affected by thermal and magnetic factors. Several nonlinear techniques have been developed to achieve high-performance control such as neural and fuzzy control [1,2], Backstepping techniques [3][4][5], adaptive methods [6,7], strategies based on DTC [8] and so on. On the other hand, the Sliding Mode Control (SMC) has become a very interesting method, thanks to its simplicity and its robustness against various disturbances and parametric uncertainties.…”
Section: Introductionmentioning
confidence: 99%