Sensorless fuzzy direct torque control of induction motor with sliding mode speed controller

Daoudi, Soukaina El; Lazrak, Loubna; Ouanjli, Najib El; Lafkih, Mustapha Ait

doi:10.1016/j.compeleceng.2021.107490

Cited by 30 publications

(13 citation statements)

References 14 publications

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“…This design lead to a configuration similar to a DC machine control. Vector controlled machines need two constants as input references: the torque cureent component represented by rotor speed 𝜔 0 and the flux current component represented by 𝐼 𝑚 [26], [27].…”

Section: The Modeling Dfoc Of Induction Motormentioning

confidence: 99%

“…From the nonlinear equations with five state variables: 𝑖 𝑆𝛼 , 𝑖 𝑆𝛽 , 𝜓 𝑅𝛼 , 𝜓 𝑅𝛽 , 𝜔 0 [26], [27], to be able to use the EKF recursively, They need to be transformed from the continuous state equations of the motor into a discrete form, and for each small cycle, these equations are considered linear. Then they are added into the system noise 𝑊 and the measured noise 𝑉, so the EKF algorithm shown below [14]- [16] can be applied.…”

Section: Using Ekf To Estimate the Speed Of Immentioning

confidence: 99%

“…The linearization of nonlinear equation [26], [27] inplemented around the estimated value 𝑥 ̂𝑖 is as following…”

Section: Using Ekf To Estimate the Speed Of Immentioning

confidence: 99%

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Comparison of the speedy estimate methods of the induction motors

Tran

Brandštetter

et al. 2022

TELKOMNIKA

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This paper deals with a novel method to achieve the effective performance of the extended Kalman filter (EKF) for the speedy estimate of an induction motor. The real coding genetic algorithm (GA) is used to optimize the components of the covariance matrix in the EKF, thus ensuring the stability and accuracy of the filter in the speed estimation. The advantage of the proposed method is less dependent on the parameters of the induction motor. The content includes the vector control model for induction motor, the speed estimation by modeling the reference frame-model reference adaptive system (RF-MRAS), the current based-model reference adaptive system (CB-MRAS), and the speed estimation with the EKF optimized by genetic algorithm. Simulative studies on the field-oriented controller (FOC) with different operating conditions are performed in Matlab Simulink when the rotor resistance changes in the current speed estimation methods. The simulation results demonstrate the efficiency of the proposed GA-EKF filter compared with other speed estimation methods of induction motors.

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Section: The Modeling Dfoc Of Induction Motormentioning

confidence: 99%

Section: Using Ekf To Estimate the Speed Of Immentioning

confidence: 99%

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Comparison of the speedy estimate methods of the induction motors

Tran

Brandštetter

et al. 2022

TELKOMNIKA

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“…The implementation of Kalman filter for speed estimation of three phase induction motor is presented in [11], [12]. The authors of the publications [13]− [15] have utilized fuzzy logic observer to estimate the speed of three phase induction motor drive. The use of sliding mode observer for speed estimation has been considered in [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Low cost high performance self-starting sensorless single phase induction motor drive

Anagreh

Al-Ibbini

2023

IJPEDS

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<p><span lang="EN-US">The present paper is directed to achieve a low-cost high-performance self-starting single phase induction motor (SPIM) drive system. A phase shifted pulse width modulation (PWM) trains feeding the motor will replace the starting and running capacitors. Adaptive sliding mode control, enhance with model reference adaptive control (MRAC), is implemented to achieve high performance sensorless SPIM drive. The obtained results confirm the feasibility of the proposed system in starting and fast tracking the reference speed with nearly zero percentage overshoot and zero steady-state error. Moreover, the proposed SPIM drive system is robust to external load torque disturbances and insensitive to system parameter variations. Extensive simulations have been conducted to confirm the validity of the proposed system.</span></p>

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“…An attempt was made to overcome the complexity of the VOC structure by replacing the PI regulators with hysteresis torque and rotor flux comparators, which formulated the DTC of DFIGs [26][27][28]. DTC offers the advantage of a fast response, but the ripples issue remains the main challenge [29]. Recently, researchers have tried to think about a new control method which obviates the defects of VOC and DTC, so predictive control (PC) came to light [30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Improving the Dynamic Performance of a Variable Speed DFIG for Energy Conversion Purposes Using an Effective Control System

2022

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The present paper aims to introduce an effective control system which enhances the dynamics of a doubly fed induction generator (DFIG) operating at fixed and variable speeds. To visualize the effectiveness of the formulated control algorithm, the performance of the DFIG is evaluated using other control techniques as well. Each control algorithm is primarily described by showing its operation principles and how it is adapted to manage the DFIG’s operation. The main used control strategies are stator voltage-oriented control (SVOC), model predictive current control (MPCC), model predictive direct torque control (MPDTC), and the formulated predictive voltage control (PVC) algorithm. A detailed comparison is performed between the controllers’ performances, through which the advantages and shortcomings of each method are outlined, and finally, the most effective technique is identified amongst them. The obtained results reveal that the proposed PVC approach possesses multiple advantages such as a faster dynamic response and simpler control structure when compared with SVOC and a faster dynamic response, reduced ripples, and reduced computational burdens when compared with the MPCC and MPDTC approaches. In addition, the robustness of the proposed PVC scheme is confirmed by performing extensive performance evaluation tests considering the parameters’ variation.

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Sensorless fuzzy direct torque control of induction motor with sliding mode speed controller

Cited by 30 publications

References 14 publications

Comparison of the speedy estimate methods of the induction motors

Comparison of the speedy estimate methods of the induction motors

Low cost high performance self-starting sensorless single phase induction motor drive

Improving the Dynamic Performance of a Variable Speed DFIG for Energy Conversion Purposes Using an Effective Control System

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