Academic literature on the topic 'MRAS'
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Journal articles on the topic "MRAS"
Casale, W. L., D. G. Mcconnell, S. Y. Wang, Y. J. Lee, and J. E. Linz. "Expression of a gene family in the dimorphic fungus Mucor racemosus which exhibits striking similarity to human ras genes." Molecular and Cellular Biology 10, no. 12 (December 1990): 6654–63. http://dx.doi.org/10.1128/mcb.10.12.6654.
Full textCasale, W. L., D. G. Mcconnell, S. Y. Wang, Y. J. Lee, and J. E. Linz. "Expression of a gene family in the dimorphic fungus Mucor racemosus which exhibits striking similarity to human ras genes." Molecular and Cellular Biology 10, no. 12 (December 1990): 6654–63. http://dx.doi.org/10.1128/mcb.10.12.6654-6663.1990.
Full textM’hamed, Larbi, Adjir Roufaida, and Ait ameur mezyane Nawal. "Sensorless control of PMSM with fuzzy model reference adaptive system." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 4 (December 1, 2019): 1772. http://dx.doi.org/10.11591/ijpeds.v10.i4.pp1772-1780.
Full textR, 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 (October 1, 2018): 2691. http://dx.doi.org/10.11591/ijece.v8i5.pp2691-2702.
Full textYang, Ling Xiao, and Jing Zhang. "Simulation Research of Vector Control System Based on the Improved MRAS Speed Sensorless." Applied Mechanics and Materials 273 (January 2013): 419–23. http://dx.doi.org/10.4028/www.scientific.net/amm.273.419.
Full textWenghofer, Elizabeth F. "Research In Medical Regulation: An Active Demonstration of Accountability." Journal of Medical Regulation 101, no. 3 (September 1, 2015): 13–17. http://dx.doi.org/10.30770/2572-1852-101.3.13.
Full textKolkhof, Peter, and Lars Bärfacker. "30 YEARS OF THE MINERALOCORTICOID RECEPTOR: Mineralocorticoid receptor antagonists: 60 years of research and development." Journal of Endocrinology 234, no. 1 (July 2017): T125—T140. http://dx.doi.org/10.1530/joe-16-0600.
Full textGhany, 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 (September 1, 2020): 1333. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1333-1343.
Full textOjionuka, Everestus, Ifeanyi Chinaeke-Ogbuka, Cosmas Ogbuka, and Cajethan Nwosu. "A simplified sensorless speed control of permanent magnet synchronous motor using model reference adaptive system." Journal of Electrical Engineering 70, no. 6 (December 1, 2019): 473–79. http://dx.doi.org/10.2478/jee-2019-0080.
Full textAbd Samat, Ahmad Asri, Dahaman Ishak, Shahid Iqbal, and Aimi Idzwan Tajudin. "Comparison between Takagi Sugeno FIS and PI Controller: An Adaptation Scheme of MRAS for Speed Sensorless Control of PMSM." Applied Mechanics and Materials 785 (August 2015): 193–97. http://dx.doi.org/10.4028/www.scientific.net/amm.785.193.
Full textDissertations / Theses on the topic "MRAS"
Zbede, Yaman. "Model predictive MRAS estimator for sensorless induction motor drives." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3771.
Full textYang, Chao. "Speed Sensorless Control for Induction Motor Drives with AI-Based MRAS." Thesis, University of Newcastle Upon Tyne, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525087.
Full textShiref, Muez. "Investigation into PI controller output ripple in MRAS based electrical drives." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2264.
Full textMathieu, Marie-Emmanuelle. "Etude de la balance pluripotence-differenciation des cellules souches embryonnaires murines sous l'effet du LIF : rôle du gène MRAS." Thesis, Bordeaux 2, 2011. http://www.theses.fr/2011BOR21878/document.
Full textLIF (Leukemia Inhibitory factor), a cytokine Interleukin 6 family, allows maintaining the pluripotency of murine embryonic stem cells (mESC) in vitro. To understand the mechanisms of action of the LIF in this model, a microarray analysis was conducted and identified three « signatures LIF » : the « Pluri » (for Pluripotency) genes, whose the relative level of expression falls following the withdrawal of this cytokine, and two classes of « Lifind » (for LIF induced) genes, whose the relative expression level increases as a result of LIF addition after a culture of 24 or 48 hours without this cytokine. We have developed functional tests to study the function of the target genes of LIF in our study model. Thus, we have investigated the role of a « Pluri » gene, Mras/Rras3, a small GTPase of the Ras family, in the regulation of the expression on the one hand of markers of pluripotency, such as Oct4 and Nanog, and on the other hand of differentiation markers, such as Lef1 and Fgf5
Salloum, Georges. "Contribution à la commande robuste de la machine asynchrone à double alimentation." Phd thesis, Toulouse, INPT, 2007. http://oatao.univ-toulouse.fr/7534/1/salloum.pdf.
Full textMališ, Martin. "Algoritmy bezsnímačového řízení pohonu se synchronním motorem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220151.
Full textPettersson, Ulf. "Identification and Adaptive Control of a Coordinate Measuring Machine." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2293.
Full textImportant factors in manufacturing are quality and cost. Measuring machines play an important role for these fields. In order to meet higher demands on cost and accuracy, measuring machines can be constructed with weaker materials and increased mechanical flexibilities, and therefore there is a need to include the flexibilities in measuring machine models to obtain good performance.
The core theme in this thesis is modeling and idenfication of the physical parameters of drive mechanisms of a Brown&Sharpe Inc. Global A coordinate measuring machine. The approximation made is that the drive mechanisms can be described by a mass connected by springs, dampers and gear changes. It has been found that a one-spring model gives a reasonably good description of the studied CMM drive mechanism. The physical parameters of this model are identified using off-line algorithms. The algorithms are based on prediction error methods. For the off-line identification the MATLAB System Identification Toolbox and the bond graph representation is used.
The chosen model is then used for control. Traditional control and a Model-reference Adaptive System is derived and studied with the aim to increase the damping of CMM drive mechanisms. It is found that the adaptive system has very good disturbance rejection and can correct for drastic model errors. Another impact is that the damping of the studied drive mechanism can be increased with at least a factor of nine.
Trinkūnaitė, Ingrida. "Asinchroninės bejutiklės pavaros modeliavimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110621_170245-16691.
Full textThe final master degree thesis presents sensorless vector controlled induction motor drive simulation model and characteristics. In the analytic part of master thesis advantages of induction motor drives and speed sensors are described. Advantages and disadvantages of speed estimators are presented and purpose of using them are proved. Peculiarities of sensorless motor drives, principles of vector control and models of speed estimators are analyzed. Two simulation models of induction motor are proposed. In the research part characteristics of induction motors are compared and motor model is chosen. Characteristics of open loop induction motor drive are investigated and simulation model of closed loop induction motor drive with speed estimator is designed. Characteristics of closed loop control system at no load, constant load and harmonic load are analyzed and influence of speed controller gain is considered. Thesis is closed with conclusions about designed system application in real projects. Structure: introduction, list of symbols, literature review, the study aims and objectives, the theoretical part, research part, conclusions and proposals, references.
Mehazzem, Fateh. "Contribution à la commande d’un moteur asynchrone destiné à la traction électrique." Thesis, Paris Est, 2010. http://www.theses.fr/2010PEST1032/document.
Full textThe work presented in this thesis aims to contribute to the control and observation of the induction machines for electric traction. Several algorithms have been developed and implemented. After a fast presentation of the classical vector control, new approaches of non-linear control are proposed : the classical backstepping and integral backstepping. A second part deals with the observation and the estimation of parameters and states of the machine, based on MRAS-Sliding Mode structures on one hand and on synchronous filtering structures on the other hand. A detailed analysis of the operation at low speed led us to propose an original solution for a Sensorless control. The torque degradation in field weakening zone was treated by a voltage regulation controller. Finally, we proposed losses minimization algorithm for the Inverter-Machine set
Tanagardi, Mehmet. "Radiation Pattern Reconfigurable Horn Antenna Based on Parasitic Layer Concept." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7623.
Full textBooks on the topic "MRAS"
More sourcesBook chapters on the topic "MRAS"
Yang, Chao, and John W. Finch. "A Comparison of Induction Motor Speed Estimation Using Conventional MRAS and an AI-Based MRAS Parallel System." In Lecture Notes in Electrical Engineering, 75–85. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2311-7_7.
Full textShiva, Badini Sai, and Vimlesh Verma. "MRAS Based Speed Sensorless Vector Controlled PMSM Drive." In Advances in Intelligent Systems and Computing, 549–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30465-2_61.
Full textBasnet, Bigyan, and Hong-Hee Lee. "Rotor Flux Estimation for Low Speed Induction Motor Sensorless Drives with MRAS." In Mobile and Wireless Technologies 2017, 509–18. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5281-1_57.
Full textLipcak, Ondrej, and Jan Bauer. "Optimization of Voltage Model for MRAS Based Sensorless Control of Induction Motor." In Lecture Notes in Electrical Engineering, 758–68. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14907-9_73.
Full textCockerill, MacKenzie. "Convergence on Common Ground: MRAs, Memes and Transcultural Contexts of Digital Misogyny." In Gender Hate Online, 87–110. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96226-9_5.
Full textBagavos, Christos, Nikos Kourachanis, Konstantina Lagoudakou, and Katerina Xatzigiannakou. "Between Reception, Legal Stay and Integration in a Changing Migration Landscape in Greece." In IMISCOE Research Series, 173–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67284-3_9.
Full textVo, Hau Huu, Pavel Brandstetter, and Chau Si Thien Dong. "MRAS Observers for Speed Estimation of Induction Motor with Direct Torque and Flux Control." In AETA 2015: Recent Advances in Electrical Engineering and Related Sciences, 325–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27247-4_29.
Full textMohan Krishna, S., and J. L. Febin Daya. "An Improved Stator Resistance Adaptation Mechanism in MRAS Estimator for Sensorless Induction Motor Drives." In Advances in Intelligent Systems and Computing, 371–85. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2035-3_38.
Full textGoyal, Trishla, and Bhavnesh Kumar. "Analysis of Stator Current MRAS for Speed Estimation of Induction Motor Aided with ANN." In Lecture Notes in Electrical Engineering, 425–35. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6772-4_37.
Full textAbdelbaset, Adel, Yehia S. Mohamed, Abou-Hashema M. El-Sayed, and Alaa Eldin Hussein Abozeid Ahmed. "A Modified MRAS Observer for Sensorless Control of a Wind Driven DFIG Connected to Grid." In Wind Driven Doubly Fed Induction Generator, 21–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70108-0_3.
Full textConference papers on the topic "MRAS"
Luk, Andrew M. Y., Eric H. K. Fung, and W. C. Gan. "2-DOF Planar Motion Control System Using Model Reference Adaptive Control (MRAC) Algorithm." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86089.
Full textAjabi Farshbaf, R., M. R. Azizian, and A. Ebrahimi. "NN-MRAS based speed estimator vs. RF-MRAS one: Design and comparison." In 2012 3rd Power Electronics, Drive Systems & Technologies Conference (PEDSTC). IEEE, 2012. http://dx.doi.org/10.1109/pedstc.2012.6183329.
Full textWang Zhifu, Teng Qizhi, and Zhang Chengning. "Speed identification about PMSM with MRAS." In 2009 IEEE 6th International Power Electronics and Motion Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/ipemc.2009.5157702.
Full textSalazar-Heise, Fernando, and Nelson Aros-Onate. "PI-FUZZY and PI Algorithm in MRAS." In 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA). IEEE, 2018. http://dx.doi.org/10.1109/ica-acca.2018.8609854.
Full textVonkomer, Jakub, and Milan Zalman. "On the stability of current based MRAS." In IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2013. http://dx.doi.org/10.1109/iecon.2013.6699611.
Full textNguyen Duy Cuong, Nguyen Van Lanh, and Dang Van Huyen. "Design of MRAS-based adaptive control systems." In 2013 International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, 2013. http://dx.doi.org/10.1109/iccais.2013.6720534.
Full textLixin, Wang. "Pragmatical Engineering Design Method For Stable MRAS." In IECON '87: Industrial Applications of Control and Simulation, edited by Tom T. Hartley. SPIE, 1987. http://dx.doi.org/10.1117/12.942948.
Full textKhamari, D., I. Benlaloui, S. Ouchen, A. Makouf, S. Drid, L. Chrifi Alaoui, and M. Ouriagli. "LPV Induction Motor Control with MRAS Speed Estimation." In 2019 8th International Conference on Systems and Control (ICSC). IEEE, 2019. http://dx.doi.org/10.1109/icsc47195.2019.8950563.
Full textZhiwu, Huang, Yang Tongguang, Gui Weihua, Shan Yongteng, and Nian Xiaohong. "An Improved Speed Identification Method Based on MRAS." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4346892.
Full textZhifu Wang and Chengning Zhang. "Speed identification about enhanced magnetism motor with MRAS." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594582.
Full textReports on the topic "MRAS"
Daughton, James M. Advanced MRAM Concepts. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada452441.
Full textStark, D. R. MRAP: A Limited Capability. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada508971.
Full textMoffeit, Ken, Takashi Maruyama, Yuri Nosochkov, Andrei Seryi, and Mike Wood. Comparison of 2 mrad and 14/20 mrad Crossing Angle Extraction Lines. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/887075.
Full textBeech, Russell, and Robert Sinclair. Low Power 256K MRAM Design. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada449576.
Full textSinha, Velu. Architecture of MRMS Simulation: Distributing Processes,. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada189697.
Full textRussell, Stuart. Complete Guide to MRS,. Fort Belvoir, VA: Defense Technical Information Center, June 1985. http://dx.doi.org/10.21236/ada328568.
Full textCerjan, C., and B. P. Law. Magnetic Random Access Memory (MRAM) Device Development. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/15006522.
Full textPavel Polozov et al. Fiber positioning and MRS response. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/823951.
Full textRaymond, David W., Katherine N. Gaither, Yarom Polsky, Steven D. Knudsen, Scott Thomas Broome, Jiann-Cherng Su, Douglas A. Blankenship, and Laurence S. Costin. Development of a Mine Rescue Drilling System (MRDS). Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1177065.
Full textZandberg, Henry. Multi-Role Aviation Weapon System (MRAWS) Trade Study. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada385919.
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