ANN-based DTC Scheme to Improve the Dynamic Performance of an IM Drive

Bouhoune, Kenza; Yazid, Krim; Boucherit, Mohamed Seghir

doi:10.1049/cp.2014.0307

Cited by 9 publications

(4 citation statements)

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“…Thus, the predicted values of the stator current and stator flux given by (9) and 14, respectively, can be used to predict the torque as follows:…”

Section: ) Predictive Model For Stator Current and Fluxmentioning

confidence: 99%

“…Several techniques have been proposed to overcome the VOLUME 4, 2016 stated DTC drawbacks, such as artificial intelligence and extended switching tables [9], [10]. Among these emerging control strategies, model predictive torque control (MPTC) achieved by introducing model predictive control (MPC) in the inner loop is the most attractive for both industrial and academic communities, owing to its quick dynamic response, intuitive concepts, multi-variable control, low torque and flux ripples, and nonlinear capabilities [11]- [13] for the inner loop.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Thus, the predicted values of the stator current and stator flux given by (9) and 14, respectively, can be used to predict the torque as follows:…”

Section: ) Predictive Model For Stator Current and Fluxmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…Based on the neural network technic and fuzzy logic controller, some of these solutions have better performances in the low-speed control regions and others have a better performance for high speeds. If concentrating on the neural network solution, Many problems were encountered in the learning steps, and this method requires big database information and a high-speed processor tool [21]. Even the database has more information and more cases about the system in its function mode, and the controller will be perfectly built and be more robust.…”

Section: Introductionmentioning

confidence: 99%

An Improved Direct Torque Control Topology of a Double Stator Machine Using the Fuzzy Logic Controller

et al. 2021

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In this paper, a dual stator induction machine is studied. This nonlinear system is built on the Matlab Simulink tool to test the efficiency of the direct torque control loop for controlling this complicated system. It makes the speed and torque tracking more comfortable. On the other side, it is mandatory to assure the independence of the electrical alimentation of the dual stator. All these goals are guaranteed with this direct torque control technic. The conventional Direct torque control loop is based on the switches' controllers. This method makes many fluctuations in the speed performances, the flux evolution, and the electromagnet torque progress. The conventional direct torque control drawbacks are resolved by improving this control loop by using the fuzzy control topology. Then, an improved direct torque control loop using the intelligent controllers is presented to control the torque and speed of a dual stator induction machine and supervise the two stator fluxes and currents. Matlab Simulink tool was used for implanting this innovation and showing the behavior of the results.

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“…In [8] authors presented a novel space vector modulation based on twelve 30° sectors of flux and voltage vectors within a circular locus of space vector for Induction motor control based DTC. The reference [9] detailed an improved DTC which is based on a Sliding Mode Direct Torque Control (SM-DTC) of IM drive and in [10] the Artificial Neural Networks ANNbased DTC of an IM was developed. While authors in [11] investigate the application of both ANN to Conventional DTC and SVM_ DTC to improve the performances of conventional DTC.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Direct Torque Control of Induction Motor for FPGA Implementation

Bchir¹,

Gdaim²,

Mtibaa³

2016

ijeei

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This paper resumes a Direct Torque Fuzzy Control (DTFC) of an Induction Motor (IM). The novel approach aims to ameliorate the performances of the conventional Direct Torque Control (DTC) by considerably reducing electromagnetic torque and stator flux ripples and improving the form of stator current. The proposed controller is based on fuzzy logic technique and it is developed in order to be implemented on Field Programmable Gate Array chip (FPGA) by using Matlab/Simullink package and Xilinx System Generator (XSG) toolbox. The efficiency of proposed technique is evaluated through simulative results that show its performance compared to conventional one.

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ANN-based DTC Scheme to Improve the Dynamic Performance of an IM Drive

Cited by 9 publications

References 0 publications

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

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

An Improved Direct Torque Control Topology of a Double Stator Machine Using the Fuzzy Logic Controller

A Fuzzy Direct Torque Control of Induction Motor for FPGA Implementation

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