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Journal articles on the topic 'MRAS TECHNIQUE'

Author: Grafiati

Published: 11 September 2023

Last updated: 19 July 2025

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1

M., A. Abdel Ghany, and A. Shamseldin Mohamed. "Model reference self-tuning fractional order PID control based on for a power system stabilizer." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 3 (2020): 1333–43. https://doi.org/10.11591/ijpeds.v11.i3.pp1333-1343.

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This paper presents a novel approach of self-tuning for a Modified Fractional Order PID (MFOPID) depends on the Model Reference Adaptive System (MRAS). The proposed self-tuning controller is applied to Power System Stabilizer (PSS). Takaji-Sugeno (TS) fuzzy logic technique is used to construct the MFOPID controller. The objective of MRAS is to update the five parameters of Takaji-Sugeno Modified FOPID (TSMFOPID) controller online. For different operating points of PSS, MRAS is applied to investigate the effectiveness of proposed controllers. The harmony optimization technique used to obtain th

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Ghany, M. A. Abdel, and Mohamed A. Shamseldin. "Model reference self-tuning fractional order PID control based on for a power system stabilizer." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (2020): 1333. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1333-1343.

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<p><span lang="EN-US">This paper presents a novel approach of self-tuning for a Modified Fractional Order PID (MFOPID) depends on the Model Reference Adaptive System (MRAS). The proposed self-tuning controller is applied to Power System Stabilizer (PSS). Takaji-Sugeno (TS) fuzzy logic technique is used to construct the MFOPID controller. The objective of MRAS is to update the five parameters of Takaji-Sugeno Modified FOPID (TSMFOPID) controller online. For different operating points of PSS, MRAS is applied to investigate the effectiveness of proposed controllers. The harmony optimi

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Qu, Zhi Yong, and Zheng Mao Ye. "Speed Regulation of a Permanent Magnet Synchronous Motor via Model Reference Adaptive Control." Advanced Materials Research 268-270 (July 2011): 513–16. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.513.

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A speed estimation technique for the permanent magnet synchronous motor drive is presented in this paper A Model Reference Adaptive System (MRAS) has been formed using the voltage and current to estimate the speed. It has been shown that such unique MRAS offers several desirable features. The proposed technique is completely independent of stator resistance and is less parameter sensitive, as the estimation-algorithm is only dependent on q-axis stator inductance. Also, the method requires less computational effort as the simplified expressions are used in the MRAS. The stability of the propose

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R, Mini, Shabana Backer P., B. Hariram Satheesh, and Dinesh M. N. "Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 2691. http://dx.doi.org/10.11591/ijece.v8i5.pp2691-2702.

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<p>This paper presents a closed loop Model Reference Adaptive system (MRAS) observer with artificial intelligent Nuero fuzzy controller (NFC) as the adaptation technique to mitigate the low speed estimation issues and to improvise the performance of the Sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Rotor flux MRAS and reactive power MRAS with NFC is explored and detailed analysis is carried out for low speed estimation. Comparative analysis between rotor flux MRAS and reactive power MRAS with PI as well as NFC as adaptive controller is performed and results are

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Mini, R., Backer P. Shabana, Hariram Satheesh B., and M. N. Dinesh. "Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 2691–702. https://doi.org/10.11591/ijece.v8i5.pp2691-2702.

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This paper presents a closed loop Model Reference Adaptive system (MRAS) observer with artificial intelligent Nuero fuzzy controller (NFC) as the adaptation technique to mitigate the low speed estimation issues and to improvise the performance of the Sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Rotor flux MRAS and reactive power MRAS with NFC is explored and detailed analysis is carried out for low speed estimation. Comparative analysis between rotor flux MRAS and reactive power MRAS with PI as well as NFC as adaptive controller is performed and results are presented

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Yang, Li Yong, and Liu Shuo. "Parameter Tuning for Sensorless Induction-Motor Drive Use Stator-Current-Based MRAS Estimator." Advanced Materials Research 383-390 (November 2011): 352–57. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.352.

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This paper proposes an analysis of the vector-controlled induction-motor (IM) drive with a novel modelreference adaptive system (MRAS)-type rotor speed estimator .In this scheme which stator-current-error-based MRAS is used instead of the rotor-ﬂux-error-based MRAS scheme,an stator-current-error-based MRAS is used for estimate the IM rotor speed ,and this is used as feedback signals for the indirect field oriented control technique (IFOC),which is a widely used control method for Induction Motor drive (IM). For improving the dynamic characteristic of the system, it is very improtant for vector

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Kader, Ali Ibrahim, Yan-Xoa Shen, and Omar Hoche Hoch. "Research in Sensorless Vector Control of Induction Motor based on MRAS Technique." International Journal of Engineering Works 5, no. 2 (2018): 21–31. https://doi.org/10.5281/zenodo.1170539.

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Model Reference Adaptive System (MRAS) represents one of the most attractive and popular solutions for sensorless control of AC drive. According to the principle of asynchronous motor vector control,taking two phase rotating coordinates current model as the adjustable model and improved voltage model as reference model,a speed sensorless vector control system is built The model reference adaptive system (MRAS) method is used to identify system speed .Model reference adaptive system method is applied to asynchronous motor speed estimation and achieves speed sensorless control of asynchronous mo

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BENAICHA, SAMIRA. "ROBUST SENSORLESS SPEED CONTROL OF AN INDUCTION MOTOR DRIVE USING A SYNERGETIC APPROACH." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 68, no. 4 (2023): 381–87. http://dx.doi.org/10.59277/rrst-ee.2023.4.10.

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This paper uses a model reference adaptive system (MRAS) to build an improved sensorless rotor-field oriented control (RFOC) induction motor (IM) drive in all speed ranges. However, in the presence of external disturbances and parameter variations, the linear tuning method of the Proportional Integrator (PI) controller in the MRAS adaptation mechanism degrades motor performance. An advanced MRAS-based synergetic technique is proposed to develop two suitable adaptation mechanisms that generate slip speed and stator resistance estimates. The reference and adjustable models are developed in the s

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Asfu, Workagegn Tatek. "Stator Current-Based Model Reference Adaptive Control for Sensorless Speed Control of the Induction Motor." Journal of Control Science and Engineering 2020 (October 14, 2020): 1–17. http://dx.doi.org/10.1155/2020/8954704.

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This paper described that the stator current-based model reference adaptive system (MRAS) speed estimator is used for the induction motor (IM) indirect vector speed control without a mechanical speed sensor. Due to high sensitivity of motor parameters variation at low speed including zero, stability analysis of MRAS design is performed to correct any mismatch parameters value in the MRAS performed to estimate the motor speed at these values. As a result, the IM sensorless control can operate over a wide range including zero speed. The performance of the stator current-based MRAS speed estimato

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Ho, Sang Dang, Petr Palacky, Martin Kuchar, Pavel Brandstetter, and Cuong Dinh Tran. "Particle swarm optimization-based stator resistance observer for speed sensorless induction motor drive." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 815. http://dx.doi.org/10.11591/ijece.v11i1.pp815-826.

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This paper presents a different technique for the online stator resistance estimation using a particle swarm optimization (PSO) based algorithm for rotor flux oriented control schemes of induction motor drives without a rotor speed sensor. First, a conventional proportional-integral controller-based stator resistance estimation technique is used for a speed sensorless control scheme with two different model reference adaptive system (MRAS) concepts. Finally, a novel method for the stator resistance estimation based on the PSO algorithm is presented for the two MRAS-type observers. Simulation r

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Sang, Dang Ho, Palacky Petr, Kuchar Martin, Brandstetter Pavel, and Dinh Tran Cuong. "Particle swarm optimization-based stator resistance observer for speed sensorless induction motor drive." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 815–26. https://doi.org/10.11591/ijece.v11i1.pp815-826.

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This paper presents a different technique for the online stator resistance estimation using a particle swarm optimization (PSO) based algorithm for rotor flux oriented control schemes of induction motor drives without a rotor speed sensor. First, a conventional proportional-integral controller-based stator resistance estimation technique is used for a speed sensorless control scheme with two different model reference adaptive system (MRAS) concepts. Finally, a novel method for the stator resistance estimation based on the PSO algorithm is presented for the two MRAS-type observers. Simulation r

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Kumar Samal, Sidhartha, Smrutisikha Jena, Bibhu Prasad Ganthia, S. Kaliappan, M. Sudhakar, and S. K. Sriram Kalyan. "Sensorless Speed Contorl of Doubly-Fed Induction Machine Using Reactive Power Based MRAS." Journal of Physics: Conference Series 2161, no. 1 (2022): 012069. http://dx.doi.org/10.1088/1742-6596/2161/1/012069.

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Abstract A sensorless speed control method for doubly-fed induction machine (DFIM) operating with constant frequency but in variable speed mode is presented in this project work. The control method is based on rotor speed estimation technique by a reactive power model reference adaptive system (MRAS) observer. The presented technique does not depend on any kind of flux evaluation and also independent to the resistance variation of either stator or rotor. The MRAS observer has a capacity for speed catching operation. PI controller is designed and also optimized using algorithm for better dynami

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Sedhuraman, K., S. Himavathi, and A. Muthuramalingam. "Neural learning adaptive system using simplified reactive power reference model based speed estimation in sensorless indirect vector controlled induction motor drives." Archives of Electrical Engineering 62, no. 1 (2013): 25–41. http://dx.doi.org/10.2478/aee-2013-0003.

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Abstract This paper presents a novel speed estimator using Reactive Power based Model Reference Neural Learning Adaptive System (RP-MRNLAS) for sensorless indirect vector controlled induction motor drives. The Model Reference Adaptive System (MRAS) based speed estimator using simplified reactive power equations is one of the speed estimation method used for sensor-less indirect vector controlled induction motor drives. The conventional MRAS speed estimator uses PI controller for adaptation mechanism. The nonlinear mapping capability of Neural Network (NN) and the powerful learning algorithms h

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SAIHI, Lakhdar, Youcef Bakou, Fateh Ferroudji, Abdelkader Hadidi, and Ibrahim Oulimar. "A Hybrid H∞-MRAS Observer of Wind Turbines Conversion Systems based on DFIG." Algerian Journal of Renewable Energy and Sustainable Development 4, no. 01 (2022): 101–10. http://dx.doi.org/10.46657/ajresd.2022.4.1.10.

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This study proposes the robust sensor-less advanced frequency control (robust H∞ control) of the system of wind turbine based on a doubly fed induction generator (DFIG), the power exchange between the machine stator and the network is achieved by applying the rotor of DFIG via a bidirectional converter. The purpose of the control is to regulate the stator active and reactive power produced by the DFIG using a robust H∞ controller. The Model reference and adaptive system (MRAS-Observer) uses the error between the actual and estimated values (voltage/current) to construct the observed mechanic

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Fnaiech, Mohamed Amine, Jaroslaw Guzinski, Mohamed Trabelsi, Abdellah Kouzou, Mohamed Benbouzid, and Krzysztof Luksza. "MRAS-Based Switching Linear Feedback Strategy for Sensorless Speed Control of Induction Motor Drives." Energies 14, no. 11 (2021): 3083. http://dx.doi.org/10.3390/en14113083.

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This paper presents a newly designed switching linear feedback structure of sliding mode control (SLF-SMC) plugged with an model reference adaptive system (MRAS) based sensorless field-oriented control (SFOC) for induction motor (IM). Indeed, the performance of the MRAS depends mainly on the operating point and the parametric variation of the IM. Hence, the sliding mode control (SMC) could be considered a good control alternative due to its easy implementation and robustness. Simulation and experimentation results are presented to show the superiority of the proposed SLF-SMC technique in compa

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A. Mossa, Mahmoud, Hamdi Echeikh, and Alfian Ma’arif. "Dynamic Performance Analysis of a Five-Phase PMSM Drive Using Model Reference Adaptive System and Enhanced Sliding Mode Observer." Journal of Robotics and Control (JRC) 3, no. 3 (2022): 289–308. http://dx.doi.org/10.18196/jrc.v3i3.14632.

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This paper aims to evaluate the dynamic performance of a five-phase PMSM drive using two different observers: sliding mode (SMO) and model reference adaptive system (MRAS). The design of the vector control for the drive is firstly introduced in details to visualize the proper selection of speed and current controllers’ gains, then the construction of the two observers are presented. The stability check for the two observers are also presented and analyzed, and finally the evaluation results are presented to visualize the features of each sensorless technique and identify the advantages and sho

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Irie, Ryusuke, Shiori Amemiya, Tsuyoshi Ueyama, et al. "Accelerated acquisition of carotid MR angiography using 3D gradient-echo imaging with two-point Dixon." Neuroradiology 62, no. 10 (2020): 1345–49. http://dx.doi.org/10.1007/s00234-020-02452-6.

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Abstract This pilot study tests the feasibility of rapid carotid MR angiography using the liver acquisition with volume acceleration-flex technique (LAVA MRA). Seven healthy volunteers and 21 consecutive patients suspected of carotid stenosis underwent LAVA and conventional time-of-flight (cTOF) MRAs. Artery-to-fat and artery-to-muscle signal intensity ratios were manually measured. LAVA MRA exhibited a significantly larger artery-to-fat signal intensity ratio compared with cTOF MRA in all slices (P < 0.001) and exhibited a larger (P < 0.001) or equivalent (P = 1.0) artery-to-muscle sign

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Xu, Kai, and Shanchao Liu. "Speed-Sensorless Vector Control Based on ANN MRAS for Induction Motor Drives." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 1 (2015): 127–33. http://dx.doi.org/10.20965/jaciii.2015.p0127.

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In the speed-sensorless induction motor drives system, Model Reference Adaptive System (MRAS) is the most common strategy. However, speed estimation using reactive power based MRAS has the problem of instability in the regenerating mode of operation. Such estimation technique is simple and has several notable advantages, but is not suitable for induction motor drives. To overcome these problems, a suitable Artificial Neural Networks (ANN) is presented to replace the adjustable model to make the system stable when working at low speed and zero crossing. Simultaneously, in order to enhance the A

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Stando, Dariusz, and Marian P. Kazmierkowski. "Simple Technique of Initial Speed Identification for Speed-Sensorless Predictive Controlled Induction Motor Drive." Power Electronics and Drives 5, no. 1 (2020): 189–98. http://dx.doi.org/10.2478/pead-2020-0014.

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Abstract This article presents a simple technique of identifying the initial speed that allows for restarting a sensorless induction motor (IM) drive controlled by a model predictive flux control (MPFC). Initial speed identification is required because, according to the research, the applied current-model reference adaptive system (C-MRAS) can restart the IM after failure only if the error of the initial speed set in the estimator is <25%. The proposed technique is based on short periods of flux generation for the certain initial speed and observation of the estimated torque respond. The di

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Lee, Dong-Myung. "On-line parameter identification of SPM motors based on MRAS technique." International Journal of Electronics 104, no. 4 (2016): 593–607. http://dx.doi.org/10.1080/00207217.2016.1220635.

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Hernawan Rahmat Muharia, Bayu, Gerhard Reinaldi Situmorang, Nur Rasyid, Arry Rodjani, and Ponco Birowo. "Comparing anastomosis techniques on ischemia time in multi-arterial kidney grafts: a systematic review and meta-analysis." Medical Journal of Indonesia 34, no. 1 (2025): 30–6. https://doi.org/10.13181/mji.oa.257527.

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BACKGROUND Kidney transplants with multiple renal arteries (MRAs) address donor shortages but carry higher vascular risks than single renal arteries. This study aimed to evaluate how different anastomosis techniques affect outcomes in kidney transplants with MRAs through meta-analysis and systematic review, concluding the continuous discussion about the best reconstructive strategy. METHODS A comprehensive search across 5 databases (PubMed, ScienceDirect, Cochrane Library, Web of Science, and the Cumulative Index to Nursing and Allied Health Literature) was conducted until December 17, 2024, t

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Halvaei Niasar, Abolfazl, and Hossein Rahimi Khoei. "Sensorless Direct Power Control of Induction Motor Drive Using Artificial Neural Network." Advances in Artificial Neural Systems 2015 (March 30, 2015): 1–9. http://dx.doi.org/10.1155/2015/318589.

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This paper proposes the design of sensorless induction motor drive based on direct power control (DPC) technique. It is shown that DPC technique enjoys all advantages of pervious methods such as fast dynamic and ease of implementation, without having their problems. To reduce the cost of drive and enhance the reliability, an effective sensorless strategy based on artificial neural network (ANN) is developed to estimate rotor’s position and speed of induction motor. Developed sensorless scheme is a new model reference adaptive system (MRAS) speed observer for direct power control induction moto

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VIT. "Sliding Mode Without Sensors Induction Motor Drive Vector Control." Journal of Engineering Technology and Sciences 02, no. 03 (2025): 17–21. https://doi.org/10.5281/zenodo.14998091.

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<em>This research discusses the design process of sliding mode controllers used for sensorless field-oriented induction motor control. A sliding mode regulator uses a sliding surface integration for speed regulation to improve controller performance. The adaptive observer implements the MRAS technique which determines rotor speed estimation used in the speed feedback loop. The experimental research verifies the effectiveness of this proposed method.</em>

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Xu, Bowen, Jien Ma, Qiyi Wu, et al. "Sensorless Control Strategy of Novel Axially Magnetized Vernier Permanent-Magnet Machine." Energies 15, no. 15 (2022): 5470. http://dx.doi.org/10.3390/en15155470.

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Vernier permanent-magnet machines have been attracted more and more attention because of their high torque density. In this paper, the sensorless control strategy of the novel axially magnetized Vernier permanent-magnet (AMVPM) machine is presented. First, the inductance non-linearity is investigated under different load conditions. Second, the mathematical model is established in cooperation with the finite element method. After that, the back electromotive force based sensorless control strategy is developed according to the state equation of the motor. In the sensorless drive, the model ref

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Pindoriya, Rajesh M., Kumar V. Tejan, and Bharat S. Rajpurohit. "Stator feed-forward voltage estimation for position sensorless PMSM drive using MRAS technique." International Journal of Power Electronics 18, no. 4 (2023): 460–81. http://dx.doi.org/10.1504/ijpelec.2023.134443.

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Zellouma, Dalal, Youcef Bekakra, and Habib Benbouhenni. "Robust synergetic-sliding mode-based-backstepping control of induction motor with MRAS technique." Energy Reports 10 (November 2023): 3665–80. http://dx.doi.org/10.1016/j.egyr.2023.10.035.

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Mabrouk, Haddar, та Allaoua Boumediene. "An efficient predictive current controller with adaptive parameter estimation in 3-ϕ inverter". International Journal of Power Electronics and Drive Systems (IJPEDS) 12, № 2 (2021): 858. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp858-869.

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In this paper, a detail design and description of a predictive current control scheme are adopted for three-phase grid-connected two-level inverter and its application in wind energy conversion systems. Despite its advantages, the predictive current controller is very sensitive to parameter variations which could eventually affected on system stability. To solve this problem, an estimation technique proposed to identify the value of harmonic filter parameter based on Model reference adaptive system (MRAS). Lyapunov stability theory is selected to guarantee a robust adaptation and stable respon

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Sedhuraman, K., S. Himavathi, and A. Muthuramalingam. "Reactive Power based Model Reference Neural Learning Adaptive System for Speed Estimation in Sensor-less Induction Motor Drives." Journal of Engineering Research [TJER] 9, no. 2 (2012): 17. http://dx.doi.org/10.24200/tjer.vol9iss2pp17-26.

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In this paper, a novel reactive power based model reference neural learning adaptive system (RP-MRNLAS) is proposed. The model reference adaptive system (MRAS) based speed estimation is one of the most popular methods used for sensor-less controlled induction motor drives. In conventional MRAS, the error adaptation is done using a Proportional-integral-(PI). The non-linear mapping capability of a neural network (NN) and the powerful learning algorithms have increased the applications of NN in power electronics and drives. Thus, a neural learning algorithm is used for the adaptation mechanism i

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Sogawa, Keiji, Yoichi Kikuchi, Toshihiro O'Uchi, Michihiro Tanaka, and Tomio Inoue. "Fenestrations of the Basilar Artery Demonstrated on Magnetic Resonance Angiograms: An Analysis of 212 Cases." Interventional Neuroradiology 19, no. 4 (2013): 461–65. http://dx.doi.org/10.1177/159101991301900409.

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Fenestration of the basilar artery (BA) is a rare variant of the intracranial artery, well demonstrated in autopsy and angiographic studies. Some angiographic series show a high incidence of associated aneurysms at the basilar fenestration site. The purpose of this study is to report the incidence of BA fenestration, its configurations, associated aneurysms, and arterial anomalies in a large series of intracranial MR angiograms (MRAs). A total of 16,416 MRAs were retrospectively reviewed to identify the location, size and associated intracranial arterial anomalies of BA fenestrations. All imag

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Haddar, Mabrouk, and Boumediene Allaoua. "An efficient predictive current controller with adaptive parameter estimation in 3- inverter." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 2 (2021): 858–69. https://doi.org/10.11591/ijpeds.v12.i2.pp858-869.

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In this paper, a detail design and description of a predictive current control scheme are adopted for three-phase grid-connected two-level inverter and its application in wind energy conversion systems. Despite its advantages, the predictive current controller is very sensitive to parameter variations which could eventually affected on system stability. To solve this problem, an estimation technique proposed to identify the value of harmonic filter parameter based on Model reference adaptive system (MRAS). Lyapunov stability theory is selected to guarantee a robust adaptation and sta

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Ammar, Abdelkarim, Oussama Belaroussi, Meryem Benakcha, Abderrahim Zemmit, and Tarek Ameid. "Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives." Power Electronics and Drives 9, no. 1 (2024): 374–96. http://dx.doi.org/10.2478/pead-2024-0024.

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Abstract This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. The suggested sensorless technique employs the sliding mode’s second-order approach using a model reference adaptive system (MRAS). The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). In addition, the conjunction with the MRAS as a separated speed estimator can raise the accuracy and make the observer immune

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Gutzeit, Andreas, Boris Eckhardt, Jan Beranek, et al. "Clinical Experience in Timed Arterial Compression Contrast-enhanced Magnetic Resonance Angiography of the Hand." Canadian Association of Radiologists Journal 61, no. 4 (2010): 206–16. http://dx.doi.org/10.1016/j.carj.2009.11.005.

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Purpose A retrospective analysis of the diagnostic performance of the timed arterial compression (TAC) technique, which allows freezing of the contrast bolus during first-pass contrast-enhanced (CE) magnetic resonance angiography (MRA) to diagnose vascular pathologies in the hand. Material and Methods A total of 14 consecutive CE-MRAs of the hand were acquired by using the TAC technique. By inflating a blood pressure cuff up to 200 mm Hg triggered to the arterial contrast filling of the hand, prolonged measurement times up to 144 seconds, with a spatial resolution of 0.59 × 0.59 × 0.8 mm3, cou

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Soni, Sujeet Kumar, Manish Khemariya, and Anand Singh. "Sensorless Speed Control of Induction Machine with Adaptive-Neuro Fuzzy Technique Integrated MRAS Module." International Journal of Engineering Trends and Technology 70, no. 7 (2022): 405–13. http://dx.doi.org/10.14445/22315381/ijett-v70i7p242.

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Mohammed, Inas Jabbar. "The Active Direct Torque Control of an Induction Motor based on an Artificial Neural Network." NeuroQuantology 20, no. 4 (2022): 522–30. http://dx.doi.org/10.14704/nq.2022.20.4.nq22333.

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In this paper, a method is developed to control the induction motor IM using direct torque control (DTC), by means of artificial neural networks (ANN), in order to reach the optimum performance .And then using the MRAS technique, the desired and efficient control of the rotor speed could be estimated and achieved. The design uses the individual training technique with the fixed weight and the controlled models to avoid the difficult DTC calculation. A specific comparison analysis was conducted between both the control for direct torque neural networks (DTNNC) and conventional direct torque con

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Utrata, Grzegorz, and Jaroslaw Rolek. "The Induction Motor MRAS-Based Speed Estimator Capable of Modelling the Slip Frequency Dependent Variability of the Rotor Impedance." Energies 16, no. 6 (2023): 2591. http://dx.doi.org/10.3390/en16062591.

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Speed feedback is indispensable not only for closed-loop controlled induction motors (IM) but also for the state monitoring systems of open-loop controlled IMs. Replacing speed sensors with speed estimations has many advantages including, e.g., hardware complexity reduction, sensor cabling elimination, and reduction of IM drive costs. From the various methods for IM speed estimation proposed in the literature, the model reference adaptive system (MRAS)-based speed estimator stands out because of its straightforward synthesis technique and lower computational complexity. On the other hand, this

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Et. al., Shrinivas P. Ganjewar,. "Novel Approaches in Sensorless Induction Motor Drive for Industrial Applications." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 10 (2021): 7438–47. http://dx.doi.org/10.17762/turcomat.v12i10.5650.

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In recent years, the use of sensorless induction motor drives is increasing in the fields ranging from industrial to household electrical applications. The major advantage of sensorless motor control technique include lower cost, high reliability, reduced hardware difficulty, noise free operation, and less maintenance requirements. To meet the current requirements of industrial applications more advanced sensorless control techniques are needed. For sensorless motor drives at low and zero-speed operation, inverter nonlinearities and motor parameter variation have significant impact on the stab

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Said, Legrioui, Rezgui Salah Eddine, and Benalla Hocine. "Exponential Reaching Law and Sensorless DTC IM Control with Neural Network Online Parameters Estimation based on MRAS." IAES International Journal of Robotics and Automation (IJRA) 7, no. 2 (2018): 77. http://dx.doi.org/10.11591/ijra.v7i2.pp77-86.

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The most important problem in the control of induction machine (IM) is the change of its parameters, especially the stator resistance and rotor-time constant. The objective of<em> </em>this paper is to implement a new strategy in sensorless direct torque control (DTC) of an IM drive. The rotor flux based model reference adaptive system (MRAS) is used<em> </em>to estimate conjointly<em> </em>the rotor<em> </em>speed, the stator resistance and the inverse rotor time constant, the process of the estimation is performed on-line by a new MRAS-based ar

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Antar, Rakan Kh, and Ahmed A. Allu. "Sensorless Speed/Torque Control of DC Machine Using Artificial Neural Network Technique." Tikrit Journal of Engineering Sciences 23, no. 3 (2016): 55–62. http://dx.doi.org/10.25130/tjes.23.3.06.

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In this paper, Artificial Neural Network (ANN) technique is implemented to improve speed and torque control of a separately excited DC machine drive. The speed and torque sensorless scheme based on ANN is estimated adaptively. The proposed controller is designed to estimate rotor speed and mechanical load torque as a Model Reference Adaptive System (MRAS) method for DC machine. The DC drive system consists of four quadrant DC/DC chopper with MOSFET transistors, ANN, logic gates and routing circuits. The DC drive circuit is designed, evaluated and modeled by Matlab/Simulink in the forward and r

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Guguloth, Rajender Naik, and Mahesh Pudari. "EMF BASED PREDICTIVE CURRENT CONTROL WITH MRAS SENSORLESS SPEED ESTIMATION FOR SVPWM FED INDUCTION MOTOR." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 9 (2017): 119–30. https://doi.org/10.5281/zenodo.998002.

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In this research work, the speed control of a Sensorless three phase induction motor is carried out using Predictive Current control (PCC) technique and space vector Pulse Width Modulation (SVPWM). Implementation of hardware complexity of a motor drive can be minimized by estimating controls rather than measuring using sensors like Model Reference Adaptive Systems (MRAS) based on Back EMF estimation. The corresponding sensors are to be eliminated so that the system becomes more robust. The PCC is dependent on a closed loop observer, which is insensitive to parameter variations. This closed loo

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Bouslimani, Samir, Samir Meradi, Said Drid, Larbi Chrifi-Alaoui, and Ali Bezziane. "State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control." Power Electronics and Drives 8, no. 1 (2023): 109–27. http://dx.doi.org/10.2478/pead-2023-0009.

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Abstract This paper proposes a method for the diagnosis of stator inter-turn short-circuit fault for permanent magnet synchronous generators (PMSG). Inter-turn short-circuit currents are among the most critical in PMSG. For safety considerations, a fast detection is required when a fault occurs. This approach uses the parameter estimation of the per-phase stator resistance in closed-loop control of variable speed of wind energy conversion system (WECS). In the presence of an incipient short-circuit fault, the estimation of the resistance of the stator in the d-q reference frame does not make i

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Benmohamed, F. E., I. K. Bousserhane, A. Kechich, B. Bessaih, and A. Boucheta. "New MRAS secondary time constant tuning for vector control of linear induction motor considering the end-effects." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 5 (2016): 1685–723. http://dx.doi.org/10.1108/compel-07-2015-0263.

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Purpose The end-effects is a well-recognized phenomenon occurring in the linear induction motor (LIM) which makes the analysis and control of the LIM with good performance very difficult and can cause additional significant non-linearities in the model. So, the compensation of parameters uncertainties due to these effects in the control system is very necessary to get a robust speed control. The purpose of this paper is to propose a new technique of LIM end-effects estimation using the inverse rotor time constant tuning in order to compensate the flux orientation error in the indirect field-or

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Prince and Ananda Shankar Hati. "TEMPERATURE AND HUMIDITY DEPENDENT MRAS BASED SPEED ESTIMATION TECHNIQUE FOR INDUCTION MOTOR USED IN MINE VENTILATION DRIVE." Физико-технические проблемы разработки полезных ископаемых, no. 5 (2021): 150–59. http://dx.doi.org/10.15372/ftprpi20210514.

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Prince and Ananda Shankar Hati. "Temperature and Humidity Dependent MRAS Based Speed Estimation Technique for Induction Motor Used in Mine Ventilation Drive." Journal of Mining Science 57, no. 5 (2021): 842–51. http://dx.doi.org/10.1134/s1062739121050148.

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Reddy, C. Upendra, Kashyap Kumar Prabhakar, Amit Kumar Singh, and Praveen Kumar. "Speed Estimation Technique Using Modified Stator Current Error-Based MRAS for Direct Torque Controlled Induction Motor Drives." IEEE Journal of Emerging and Selected Topics in Power Electronics 8, no. 2 (2020): 1223–35. http://dx.doi.org/10.1109/jestpe.2019.2901523.

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Singh, Shweta, A. N. Tiwari, and Sri N. Singh. "Performance Analysis of Sensor-based and Sensorless Methods for PMSM Drive." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 3 (2020): 304–15. http://dx.doi.org/10.2174/2352096512666190311162605.

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Objective: Permanent Magnet Synchronous Motor (PMSM) drives require speed/position information for the efficient performance of industrial applications. Methods: A sensor-based method utilizes sensors for extracting this information which increases weight, size, and cost of the drive system, whereas the sensorless method utilizes model-based estimators which depend on motor parameters. Thus, the performance degrades due to the parameter variations. Model Reference Adaptive System (MRAS), a robust estimation technique has been implemented for speed/position estimation. Conclusion: In this paper

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A. Mossa, Mahmoud, Houari Khouidmi, and Alfian Ma’arif. "Robust Flux and Speed State Observer Design for Sensorless Control of a Double Star Induction Motor." Journal of Robotics and Control (JRC) 3, no. 4 (2022): 464–75. http://dx.doi.org/10.18196/jrc.v3i4.15667.

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In this paper, a robust flux and speed observer for sensorless control of a double star induction motor is presented. Proper operation of vector control of the double star induction motor requires reliable information from the process to be controlled. This information can come from mechanical sensors (rotational speed, angular position). Furthermore, mechanical flux and speed sensors are generally expensive and fragile and affect the reliability of the system. However, the control without sensors must-have performance that does not deviate too much from that which we would have had with a mec

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Donga, Kan, Li Jun Diaob, Da Nan Sun, Bai Shui Ruan, and Zhi Gang Liu. "MRAS-Based Rotor Time Constant Estimation for Indirect Vector Controlled Induction Motor Drive." Advanced Materials Research 433-440 (January 2012): 6812–18. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6812.

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Decoupling the stator current into magnetizing current and torque current, the vector control technique improves the performance of AC drive system effectively. However, the rotor time constant varies widely with rotor temperature and the flux level of the machine, which decreases the quality of the drive system. By the contrastive analysis of the variable current on-line estimation methods, this paper uses the Model Reference Adaptive System (MRAS) and designs a set of self-adaption estimation arithmetic which has its basis on the Lyapunov theorem of stability. The simulation shows that the e

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Parida, Adikanda, and Manish Paul. "Optimum active power tracking based control of brushless doubly-fed reluctance generator tied to renewable microgrid." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 1 (2024): 422. http://dx.doi.org/10.11591/ijpeds.v15.i1.pp422-430.

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Among all the existing wind energy generators (WEG), a brushless doubly-fed reluctance generator (BDFRG) is the better option in terms of maintenance cost and constructional simplicity. For more adaptability, the efficiency of the BDFRG can be improved through proper control mechanisms. Therefore, this paper presents an optimum active power tracking-based control technique for BDFRG for minimum losses. Copper loss of the machine is considered to be the objective function for the proposed optimization technique. However, one issue found to be the major in all the existing controllers is the acc

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Benderradji, Hadda, Yahia Laamari, and Samira Benaicha. "Speed sensorless control of induction motor based on feedback linearization." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 3 (2024): e12880. https://doi.org/10.54021/seesv5n3-093.

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In this paper, a robust sensorless speed-control of induction motor has been developed, which the rotor speed and flux are estimated by a Model Reference Adaptive System (MRAS) algorithm. First, a feedback linearization associated to a sliding mode method is applied to field- oriented induction motor model. The sliding surface is a second order equation which allows us to impose the dynamics of induction motor model by the choice of the roots of the surface equation. The choice of a particular switching surface permits to create a link between sliding mode theory and input–output linearization

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Dinh, Bach Hoang, and Cuong Dinh Tran. "Improved scalar control based on slip compensation from virtual speeds in three-phase induction motor drives." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 3 (2024): 1410. http://dx.doi.org/10.11591/ijpeds.v15.i3.pp1410-1416.

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The typical scalar control method adjusts the speed based on changes in power frequency while maintaining a constant V/f ratio corresponding to the nominal flux. The disadvantage of the typical scalar method is that the motor operating speed is always less than the reference speed by a slip value. This research proposes an improved scalar control method based on slip compensation for speed control in the induction motor drive. A virtual speed according to the rotor flux-based model reference adaptive system (RF-MRAS) technique is applied to the current model to estimate the proper compensation

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