Relevant bibliographies by topics / Electromechanical control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Electromechanical control'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 May 2022

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Journal articles on the topic "Electromechanical control"

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Münster, Martin, Ulrich Mair, Heinz-Joachim Gilsdorf, and Achim Thomä. "Electromechanical active body control." ATZ worldwide 111, no. 9 (September 2009): 44–48. http://dx.doi.org/10.1007/bf03225316.

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Münster, Martin, Ulrich Mair, Heinz-Joachim Gilsdorf, Achim Thomä, Christian Müller, Marko Hippe, and Jürgen Hoffmann. "Electromechanical Active Body Control." ATZautotechnology 9, no. 3 (May 2009): 24–29. http://dx.doi.org/10.1007/bf03247116.

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Safiullin, Ruzil. "Motion Control of an Electromechanical Micro Robot." Известия высших учебных заведений. Электромеханика 63, no. 6 (2020): 57–65. http://dx.doi.org/10.17213/0136-3360-2020-6-57-65.

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Currently, the development of innovative technologies in the field of electromechanics are microelectrome-chanical systems. They are widely used both in various industries and in domestic conditions of human life. An algorithm and a mathematical model of the design of an electromechanical composite microrobot have been developed. A system of equations of mechanics and electrodynamics was used to describe its metrological char-acteristics. By solving this system of equations, a theoretical analysis of the operation of its engine with a spiral secondary elastic element is carried out. Using the mechatronic approach, the buoyancy and coordination of its functional modules are studied. The results of this article will be useful for engineers involved in the design and operation of micro robots using robotic systems in the fields of biotechnology and biomechanics.
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Zablodskiy, M. M., V. E. Pliuhin, S. I. Kovalchuk, and V. O. Tietieriev. "Indirect field-oriented control of twin-screw electromechanical hydrolyzer." Electrical Engineering & Electromechanics, no. 1 (February 17, 2022): 3–11. http://dx.doi.org/10.20998/2074-272x.2022.1.01.

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Goal. Development of a mathematical model of indirect field-oriented control of a twin-screw electromechanical hydrolyzer. Methodology. The paper presents a mathematical model of Indirect field-oriented control of twin-screw electromechanical hydrolyzer. The mathematical model was developed in the MATLAB / Simulink software environment. The determination of the main parameters of a twin-screw electromechanical hydrolyzer was carried out by developing a finite element model in the Comsol Multiphysics software environment. Results. Based on the results of a mathematical study, graphical dependences of the distribution of magnetic induction in the air gap of a ferromagnetic rotor, a spatial representation of the distribution of magnetic induction on a 3D model of a ferromagnetic rotor of a twin-screw electromechanical hydrolyzer were obtained. The results of finite element modeling were confirmed by a practical study of a mock-up of a ferromagnetic rotor of a twin-screw electromechanical hydrolyzer. By implementing the MATLAB / Simulink model, graphical dependences of the parameters of the ferromagnetic rotor of a twin-screw electromechanical hydrolyzer are obtained under the condition of a stepwise change in the torque and a cyclic change in the angular velocity. Originality. The paper presents an implementation of the method of indirect field-oriented control for controlling the ferromagnetic rotor of a twin-screw electromechanical hydrolyzer. The work takes into account the complex design of the ferromagnetic rotor of a twin-screw electromechanical hydrolyzer. Practical significance. The practical implementation of the results of mathematical modeling makes it possible to achieve effective control of a complex electromechanical system, allows further research to maintain the necessary parameters of the technological process and to develop more complex intelligent control systems in the future.
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Zhou, Liping. "Load balance control method of multi electromechanical transmission system based on dynamic programming." Journal of Physics: Conference Series 2085, no. 1 (November 1, 2021): 012005. http://dx.doi.org/10.1088/1742-6596/2085/1/012005.

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Abstract Controlling the load balance of multi electromechanical transmission system is the core and difficulty of metro vehicles. In order to effectively control the load of multi electromechanical transmission system and ensure the load balance of multi electromechanical transmission system. A load balancing control method of multi electromechanical transmission system based on dynamic programming is proposed. By designing the structure of the transmission system filter, the low DC resonant frequency of the inverter is maintained and the grid harmonics with higher order effect are suppressed. The rotor field oriented correction method based on dynamic programming can improve the torque performance of traction electric drive system, control the DC side active damping oscillation, and realize the load balance control of multi electromechanical drive system. The simulation results show that the proposed method avoids the wrong rise of multi electromechanical voltage and the saturation of regulator output caused by inaccurate magnetic field orientation, can effectively control the load of multi electromechanical transmission system, ensure the load balance of multi electromechanical transmission system, and provide an effective reference for the load balance control of multi electromechanical transmission system.
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Krut’ko, P. D. "Adaptive control of electromechanical executive systems." Journal of Machinery Manufacture and Reliability 37, no. 5 (October 2008): 493–500. http://dx.doi.org/10.3103/s1052618808050142.

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Knohl, T. "Sliding Mode Control in Electromechanical Systems." Control Engineering Practice 8, no. 12 (December 2000): 1417–18. http://dx.doi.org/10.1016/s0967-0661(00)00080-0.

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Jo, Chihoon, Sungho Hwang, and Hyunsoo Kim. "Clamping-Force Control for Electromechanical Brake." IEEE Transactions on Vehicular Technology 59, no. 7 (September 2010): 3205–12. http://dx.doi.org/10.1109/tvt.2010.2043696.

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Varga, E., and J. P. Davis. "Electromechanical feedback control of nanoscale superflow." New Journal of Physics 23, no. 11 (November 1, 2021): 113041. http://dx.doi.org/10.1088/1367-2630/ac37c6.

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Abstract Superfluid 4He is a promising material for optomechanical and electromechanical applications due to its low acoustic loss. Some of the more intriguing aspects of superfluidity—the macroscopic coherence, topological nature of vorticity, and capability of supporting non-classical flows—remain, however, poorly explored resources in opto- and electro-mechanical systems. Here, we present an electromechanical coupling to pure superflow inside a nanofluidic Helmholtz resonator with viscously clamped normal fluid. The system is capable of simultaneous measurement of displacement and velocity of the Helmholtz mechanical mode weakly driven by incoherent environmental noise. Additionally, we implement feedback capable of inducing self-oscillation of the non-classical acoustic mode, damping the motion below the ambient level, and tuning of the mode frequency.
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Siddique, Muhammad, Bushra Syed, Muhammad Shahzad, Ayesha Khalid, Kiran Amjad, Sara Mukhtar, and Khawar Saleem Akhtar. "Modeling and Adaptive Control of Novel Electromechanical Inverter." Pakistan Journal of Engineering and Technology 4, no. 2 (June 24, 2021): 76–82. http://dx.doi.org/10.51846/vol4iss2pp76-82.

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A novel idea of electromechanical inverter (EMI) is proposed. This inverter minimize the complexity and cost of conventional rotating magnetic field inverters. The electromechanical inverter works on phenomena of rotating magnetic field in which changing flux in the external coils through dc motor induced an emf in the output coil. For controlling the speed of dc motor and rotation of coils, the adaptive control is used to avoid the saturation in magnetic field. The adaptive control system that is used for the electromechanical inverter (EMI) is model-reference adaptive control (MRAC) which has four parts i.e plant, reference model, adaptation mechanism and control law. An adaptation mechanism is designed with MIT rule of MRAC. The authenticity of proposed control technique for electromechanical inverter is verified by simulation results. The simulation result shows efficacy of proposed adaptive control technique using MATLAB
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Dissertations / Theses on the topic "Electromechanical control"

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Ganapathy, Annadurai Shathiyakkumar. "Non-Linear Electromechanical System Dynamics." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1799.

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Electromechanical systems dynamics analysis is approached through nonlinear differential equations and further creating a state space model for the system. There are three modules analyzed and validated, first module consists two magnet coupled with a mass spring damper system as a band-pass system, Low-pass equivalent system and Low-pass equivalent system through perturbation analysis. Initially Band Pass frameworks for the systems are formulated considering the relation between the mechanical forcing and current. Using Mathematical tools such as Hilbert transforms, Low-Pass equivalent of the systems are derived. The state equations of the systems are then used to design a working model in MATLAB and simulations investigated completely. The scope of the modules discussed for further development of tools various applications.
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Garg, Aditya. "Adaptive and optimal tracking control of electromechanical servosystems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2002. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ63307.pdf.

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Danbury, Richard Neil. "Microprocessor-based time-optimal control of electromechanical systems." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237798.

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Line, Christopher Leonard James. "Modelling and control of an automotive electromechanical brake /." Connect to thesis, 2007. http://eprints.unimelb.edu.au/archive/00003859.

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Mamani, A., G. Quispe, and C. Raymundo-Ibañeez. "Electromechanical Device for Temperature Control of Internal Combustion Engines." IOP Publishing Ltd, 2019. http://hdl.handle.net/10757/656303.

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Internal combustion engines are the most commonly used engines in the automotive world. However, these engines lack an overheating prevention system against cooling system failures when they exceed their normal operating temperature. Less experienced drivers (users) usually do not notice overheating until the engine stops, generating economic expenses in engine repairs. As such, this paper describes the design and construction of an electromechanical device to prevent engine overheating. This device is installed in a vehicle and operates independently from the electronic control unit (ECU); it records the coolant temperature and controls air admission to the engine of the vehicle in which it is installed. In addition, a new Arduino-based card will receive signals from a temperature sensor as input and process them according to its programming. Then, it will send signal outputs to the actuators: A servomotor, monitor, LED display, and buzzer. To control the intake flow, a butterfly valve is used with the servomotor. This valve partially or totally restricts the engine airflow, based on the temperature programmed for the Arduino, thus protecting the engine from overheating.
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Pettersson, Alexander, and Patrik Storm. "Modeling and Control of Electromechanical Actuators for Heavy Vehicle Applications." Thesis, Linköpings universitet, Fordonssystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78431.

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The possibility to develop control systems for electromechanical actuators at Scania is studied, in particular the focus is on how to exchange the intelligent actuators used today with dumb ones. An intelligent actuator contains its own control electronics and computational power, bought as a unit from suppliers by Scania and controlled via the CAN bus. A dumb actuator contains no means of controlling itself and its I/O is the motor’s power pins. Intelligent actuators tend to have limited control performance, time delays and poor diagnose systems, along with durability issues. A dumb actuator could have the benefit of avoiding these disadvantages if the system is designed within the company. A literature study concerning the different types of electrical motors available and their control methods is performed, the most suitable for use in a heavy vehicle is deemed the brushless DC motor, BLDC. An intelligent throttle is chosen for a case study and has its control electronics stripped and replaced with new sensor- and control cards. The case study is used to investigate the possibilities and difficulties of this design process. A simulation model is developed for the electronics, motor and the attached mechanical system. With the aid of this model a controller architecture is designed, consisting of PI controllers with feed-forward and torque compensation for nonlinearities. The developed controller architecture is tested and in theory it can compete with the intelligent throttle’s performance. The model is also adapted to allow for code generation. The simulation model is used to study some common electrical faults that can effect the system and the possibilities for diagnosis and fault-remedial actions. The hardware prototype system shows that a current controller is necessary in the control architecture to achieve decent performance and the prototype is developed in such a way as to make future studies possible. The conclusion of the thesis is that Scania would be able to design control systems for dumb actuators, at least from a technical perspective. However more studies, from an economical point of view, will be necessary.
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Egretzberger, Markus [Verfasser]. "Mathematical Modeling and Control of Micro Electromechanical Gyroscopes / Markus Egretzberger." Aachen : Shaker, 2010. http://d-nb.info/1080767010/34.

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Yamamoto, Kazusa. "Control of electromechanical systems, application on electric power steering systems." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAT069/document.

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De nos jours, la plupart des véhicules sont équipés de Directions Assistées Electriques (DAE). Ce type de systèmes d'aide à la conduite permet de réduire les efforts que le conducteur doit fournir pour tourner les roues. Ainsi, grâce à un moteur électrique, la DAE applique un couple additionnel en accord avec le comportement du conducteur et la dynamique du véhicule. Il est donc nécessaire de développer une commande en couple basée en particulier sur le signal provenant d'un capteur mesurant le couple agissant au niveau de la barre de torsion (correspondant à une image du couple conducteur). Ce composant est donc essentiel au fonctionnement de la DAE. Or, une défaillance de ce capteur entraine le plus souvent une coupure de l'assistance, pouvant mener à un risque d'accidents. Au regard de la sécurité fonctionnelle, un développement d'un mode de sécurité est recommandé, par de plus en plus de constructeurs automobiles. D'autre part, le marché des équipementiers automobiles reste un secteur très concurrentiel où une baisse des coûts de production est un challenge constamment recherché afin de gagner de nouvelles parts de marchés. Cet aspect de réduction du nombre de capteurs et d'analyse de la dynamique du véhicule s'inscrit donc dans le prolongement de la stratégie de sécurité. Cette thèse, menée au sein de JTEKT Europe, aborde ces divers enjeux. Après une présentation des différents systèmes de directions assistés électriques, des modèles sont présentés pour être utilisés lors de la conception de lois de commande et d'estimateurs. Ensuite deux méthodes d'estimation du couple conducteur sujet aux perturbations de la route et aux bruits de mesures sont proposées : la première est un observateur proportionnel intégral (PI) à synthèse mixte $H_infty/H_2$, et la seconde une approche par filtrage $H_infty$. Puis plusieurs stratégies de commande sont proposées suivant deux cas de figures distincts, soit en utilisant un observateur PI qui estime les états du système et le couple conducteur (LQR, commande LPV par retour d'état), soit en faisant abstraction d'estimateur de couple conducteur (commande $H_infty$ par retour de sortie dynamique). Ce dernier aspect présente l'avantage de nécessiter moins de mesures que le précédent. Ces approches ont été validées en simulation et mises en œuvre sur un véhicule prototype où des résultats prometteurs ont été obtenus
Nowadays, modern vehicles are equipped with more and more driving assistance systems, among them Electric Power Steering (EPS) helps the driver to turn the wheels. Indeed, EPS provides through an electric motor, an additional torque according to the driver's behaviour and the vehicle's dynamics to reduce the amount of effort required to the driver. Therefore, a torque control is developed based on the torque sensor signal which measures in practice the torsion bar torque (corresponding to an image of the driver torque). Consequently, this component is essential to the functioning of EPS systems.Indeed, a torque sensor failure usually leads to shut-off the assistance which may increase the risk of accident. Regarding functional safety, a back-up mode is recommended and required by more and more car manufacturers. On the other hand, a major challenge for automotive suppliers is to reduce cost production in order to meet growing markets demands and manage in the competitive sector. This issue considering a reduction of sensors' numbers and analysis of vehicle's dynamics is therefore an extension of applying the safety strategy. This thesis, carried out within JTEKT Europe, addresses these various issues.After introducing an overview of the different EPS systems, some models used for the design of controllers and estimators are presented. Then, two methods to estimate the driver torque subject to road disturbances and noise measurements are proposed: the first is a proportional integral observer (PI) with mixed synthesis $H_infty / H_2 $, whereas the second is an $ H_infty $ filtering approach. Then, several control strategies are proposed according to two different cases, either by using a PI observer which estimates the system states and the driver torque (LQR, LPV feedback control) or by not taking into account the driver torque estimation ($ H_infty $dynamic output feedback control). This latter approach has the advantage to require less measurements than the previous one. These approaches have been validated in simulation and implemented on a prototype vehicle where promising results have been obtained
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Ceru, Maricel. "Acceleration feedback in model predictive control of electromechanical drive systems." Thesis, University of Ottawa (Canada), 2001. http://hdl.handle.net/10393/9372.

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This thesis discusses the use of acceleration measurements in predictive control schemes for electromechanical positioning systems. The proposed method is intended to improve the tracking error while maintaining the controllability and the robustness of the' controllers. The influence of acceleration feedback on controllers and observers of predictive type is evaluated, and the results are compared with those obtained by classical control schemes, without this type of feedback. Multiple approaches are subsequently compared, from the classical PID, Linear Quadratic Gaussian (LQG) control, to Dynamic Matrix Control (DMC) with state feedback and DMC with acceleration feedback (DMC/AF) as well. The simulations and the experiments are done using the framework of MATLAB/Simulink and dSPACE computer packages, on an electromechanical positioning system (EMPS) with friction wheel used at the Cologne Laboratory of Mechatronics (CLM). A controller design suite using GUI developed to facilitate industrial implementation has been used for rapid testing of diverse schemes. The observers for non-measured states were of Kalman filters type. (Abstract shortened by UMI.)
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Scott, Eric Landon. "Criteria based actuator control /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Books on the topic "Electromechanical control"

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1979-, Campbell Steven, ed. DSP-based electromechanical motion control. Boca Raton, Fla: CRC Press, 2004.

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Utkin, Vadim Ivanovich. Sliding mode control in electromechanical systems. 2nd ed. Boca Raton, FL: CRC Press, 2009.

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Utkin, Vadim. Sliding mode control in electromechanical systems. London: Taylor & Frances, 1999.

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Hernández-Guzmán, Victor Manuel, Ramón Silva-Ortigoza, and Jorge Alberto Orrante-Sakanassi. Energy-Based Control of Electromechanical Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58786-4.

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Lyshevski, Sergey Edward. Mechatronics and Control of Electromechanical Systems. Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315155425.

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Utkin, Vadim Ivanovich. Sliding mode control in electromechanical systems. London: Taylor & Francis, 1999.

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Electromechanical and electronic controls for HVAC/R. Upper Saddle River, N.J: Prentice Hall, 1999.

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Mechatronics: Electromechanics and contromechanics. Berlin: Springer-Verlag, 1992.

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Mechatronics: Electromechanics and contromechanics. New York: Springer-Verlag, 1993.

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Korobkov, I͡U S. Ėlektromekhanicheskie apparaty avtomatiki. Moskva: Ėnergoatomizdat, 1991.

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Book chapters on the topic "Electromechanical control"

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Lyshevski, Sergey Edward. "Control of Electromechanical Systems." In Mechatronics and Control of Electromechanical Systems, 339–458. Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315155425-8.

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Robyns, Benoît, Bruno Francois, Philippe Degobert, and Jean Paul Hautier. "Concepts for Electromechanical Conversion." In Vector Control of Induction Machines, 1–34. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-901-7_1.

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Lyshevski, Sergey Edward. "Mechatronic and Electromechanical Systems." In Mechatronics and Control of Electromechanical Systems, 1–14. Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315155425-1.

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Wach, Piotr. "Dynamics of Electromechanical Systems." In Dynamics and Control of Electrical Drives, 9–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20222-3_2.

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Gorodetskiy, A. E. "Smart Electromechanical Systems Modules." In Studies in Systems, Decision and Control, 7–15. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27547-5_2.

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Gorodetskiy, A. E. "Smart Electromechanical Systems Architectures." In Studies in Systems, Decision and Control, 17–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27547-5_3.

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Pan, Tianhong, and Yi Zhu. "Electromechanical Control Using the Arduino." In Designing Embedded Systems with Arduino, 101–23. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4418-2_4.

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"Electromechanical Systems." In Nonlinear and Adaptive Control with Applications, 237–68. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-066-7_10.

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"Control Theory Overview." In Electromechanical Motion Systems, 7–34. Chichester, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118359785.ch2.

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"Dynamics of Electromechanical Systems." In Motion Control Systems, 3–27. Singapore: John Wiley & Sons (Asia) Pte Ltd, 2011. http://dx.doi.org/10.1002/9780470825754.ch1.

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Conference papers on the topic "Electromechanical control"

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Svobodova, Miroslava, and Elena S. Di Martino. "Electromechanical Control of Atrium Function." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-204244.

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The heart is a very efficient mechanical pump whose function is to controls the blood flow in the body. Two physical systems, namely mechanical for the pumping action and electrical for the control interact within the heart. Cardiac function can only be studied if both mechanical and electrical systems are considered. In particular, we are interested in the electromechanical control of the atrium pump function which is less studied then the electromechanical control of the ventricle pump function and none the less is a crucial factor in the development of atrial fibrillation.
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MYERS, W., and RAE WEIR. "Electromechanical propellant control system actuator." In 26th Joint Propulsion Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1946.

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Gokdere, L. U., S. L. Chiu, K. J. Keller, and J. Vian. "Lifetime control of electromechanical actuators." In 2005 IEEE Aerospace Conference. IEEE, 2005. http://dx.doi.org/10.1109/aero.2005.1559655.

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Hamberg, J. "Controlled Lagrangians and electromechanical systems." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1025212.

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liu, Yu Hong, Qian Xing san, and Guan Shen yuan. "Intelligent Control of Electromechanical Complex System." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347008.

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Carnevale, Cesare, and Pier Resta. "Vega Electromechanical Thrust Vector Control Development." In 43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-5812.

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LISTER, M., and D. REICHMUTH. "Electromechanical actuation for cryogenic valve control." In 29th Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-2489.

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Ilyin, M. E. "MATHEMATICAL MODEL OF ELECTROMECHANICAL SYSTEM CONTROL." In Modern Technologies in Science and Education MTSE-2020. Ryazan State Radio Engineering University, 2020. http://dx.doi.org/10.21667/978-5-6044782-3-3-75-79.

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Tatarchuk, Dmytro, Tetiana Volkhova, Volodymyr Lapa, Andrii Samoilov, Oleksandr Zherebets, and Oleksandr Dramaretskyi. "Microstrip Composite Structures with Electromechanical Control." In 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO). IEEE, 2019. http://dx.doi.org/10.1109/elnano.2019.8783478.

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Bucolo, Maide, Arturo Buscarino, Carlo Famoso, Luigi Fortuna, and Mattia Frasca. "Smart Control of Imperfect Electromechanical Systems." In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. http://dx.doi.org/10.1109/smc.2019.8914052.

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Reports on the topic "Electromechanical control"

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Wang, Kon-Well. Piezoelectric Tailoring with Enhanced Electromechanical Coupling for Concurrent Vibration Control of Mistuned Periodic Structures. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada471779.

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Smith, J. R., and R. Gough. Electromechanical Battery (EMB) and EMB Power Control System Final Report CRADA No. TC-723-94. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/1438807.

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Modlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev, and Oksana M. Markova. Methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3878.

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Abstract:
The article describes the components of methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects: using various methods of representing models; solving professional problems using ICT; competence in electric machines and critical thinking. On the content of learning academic disciplines “Higher mathematics”, “Automatic control theory”, “Modeling of electromechanical systems”, “Electrical machines” features of use are disclosed for Scilab, SageCell, Google Sheets, Xcos on Cloud in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. It is concluded that it is advisable to use the following software for mobile Internet devices: a cloud-based spreadsheets as modeling tools (including neural networks), a visual modeling systems as a means of structural modeling of technical objects; a mobile computer mathematical system used at all stages of modeling; a mobile communication tools for organizing joint modeling activities.
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