Sensorless SVM-Direct Torque Control for Induction Motor Drive Using Sliding Mode Observers

Ammar, Abdelkarim; Bourek, Amor; Benakcha, Abdelhamid

doi:10.1007/s40313-016-0294-7

Cited by 31 publications

(12 citation statements)

References 28 publications

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“…Stator field situated IM Model: This methodology utilizes the dynamic model of the acceptance machine in the synchronous reference outline (d,q). The voltages model can be communicated in Eq (1) and ( 2 (3) It's widely realized that the d-pivot is the charging hub and q-hub is the torque hub [4]. The voltages conditions in synchronous edge can be communicated as:…”

Section: Sfo Svm-dtc Control Strategymentioning

confidence: 99%

See 1 more Smart Citation

Sensorless stator field oriented-direct torque control with svm for induction motor drive

2018

IJLTET

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This paper manages change of Direct Torque Control technique for induction motor (IM) drive. Since the primary drawbacks of the established DTC are high torque/flux ripples and current contortion, this paper embeds the space vector modulation keeping in mind the end goal to decrease the ripples by keeping up a consistent switching frequency. Furthermore, the fuzzy logic controllers will supplant the conventional proportional integral (PI) controllers for stator motion and torque direction and to guarantee a precise reference following and a strong reaction against various vulnerabilities, for example, outer aggravation and parameters variety. Moreover, a stator flux based Model Reference Adaptive System (SF-MRAS) is planned as a sensorless calculation for the estimation of rotor speed. This estimator can enhance the execution of the controlled framework by expanding its unwavering quality and diminishing the cost of the speed sensor. The worldwide control calculation has been explored by means of numerical reenactment and continuous experimentation utilizing Matlab/ Simulink with dSpace 1104 flag card.

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Section: Sfo Svm-dtc Control Strategymentioning

confidence: 99%

“…By saving a steady exchanging recurrence, it can lessen essentially the motion and torque ripples [3]. In this specific situation, the SFOC based SVM-DTC will take our enthusiasm for this paper [4]. Lamentably, the utilization of PI controllers requires a particular information of control framework displaying.…”

Section: Introductionmentioning

confidence: 99%

Sensorless stator field oriented-direct torque control with svm for induction motor drive

2018

IJLTET

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“…An observer was designed in [18] to estimate system disturbances for improved control of permanent magnet synchronous motors (PMSMs). Ammar et al [19] used an SM approach to design dual SMOs to estimate load torque, speed, and flux for space-vector-modulation-based DTC of the IMs. Wang et al [20] proposed an SMO for linear IMs to estimate their online resistance, flux, and speed, while Kubota et al [21] theoretically showed that rotor resistance and speed can only be estimated simultaneously when the magnitude of the flux varies periodically, and not on a permanent basis.…”

Section: Introductionmentioning

confidence: 99%

Integral Super Twisting Sliding Mode Based Sensorless Predictive Torque Control of Induction Motor

et al. 2020

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In the direct torque control (DTC) of induction motor (IM) drive systems utilizing model predictive torque control (MPTC) in the inner loop and classical proportional integral (PI) control in the outer loop is prone to weaknesses, such as uncertainties, external disturbances, parameter variations, and nonlinear dynamics. A high-performance control system for speed and torque is required to guarantee a smooth and robust control architecture that can withstand such unpredictable effects. In this study, we propose an integral super twisting sliding mode control (ISTSMC) to address the shortcomings of the classical PI used in the outer loop of DTC drive systems. A sliding mode speed observer is also designed and utilized to overcome problems associated with mechanical sensors. The robustness of the proposed control strategy and fast dynamic speed response are compared favorably with a benchmark PI controller and conventional sliding mode control (SMC). The ability of the proposed system to regulate both speed and torque was evaluated through simulations, under various fault perturbations, parameter variations, and load disturbances, conducted in MATLAB/ Simulink. Various performance indices were used to demonstrate the superior performance of the proposed strategy compared to a benchmark PI system and conventional SMC-based MPTC approaches.

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“…Besides the conventional direct torque control drive, various other solutions have been also proposed to minimise the chattering phenomena such as in [29]. Additionally, in [30], a direct torque and flux control with support vector machine technique was used, whereas in [31] another technique has been presented based on a direct torque control with loss minimisation for EVs.…”

Section: Introductionmentioning

confidence: 99%

Hardware implementation of an improved control strategy for battery–supercapacitor hybrid system in electric vehicles

Sellali

Betka

Drid

et al. 2020

IET Electrical Systems in Transportation

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This study deals with the implementation of an efficient control strategy using battery-supercapacitor for an electric vehicle driven by a permanent-magnet synchronous motor. The whole system consists of two parts: the energy management system and the traction system. The energy management system is mainly composed of a fuzzy-Lyapunov controller used to regulate both the current sources and the DC-bus voltage. For the traction system, direct torque control based on 12 sectors drive is used for the control of the motor to ensure both decoupled flux and torque with low ripple compared with the conventional Direct Torque Control (DTC). To make a comparative study for the energy management system, two strategies of energy management have been implemented. The first strategy does not include the regulation of the supercapacitor voltage, whereas the second one is based on the regulation of the supercapacitor voltage to protect it from deep discharge and avoid short circuit. The experimental tests were implemented using two dSPACE 1104 implementation boards. The results show that the system under the second energy control strategy works perfectly and verifies the effectiveness of the proposed control technique.

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Sensorless SVM-Direct Torque Control for Induction Motor Drive Using Sliding Mode Observers

Cited by 31 publications

References 28 publications

Sensorless stator field oriented-direct torque control with svm for induction motor drive

Sensorless stator field oriented-direct torque control with svm for induction motor drive

Integral Super Twisting Sliding Mode Based Sensorless Predictive Torque Control of Induction Motor

Hardware implementation of an improved control strategy for battery–supercapacitor hybrid system in electric vehicles

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