Relevant bibliographies by topics / Zero speed sensorless control

Academic literature on the topic 'Zero speed sensorless control'

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Published: 14 March 2023

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Journal articles on the topic "Zero speed sensorless control"

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Leppanen, V. M., and J. Luomi. "Speed-Sensorless Induction Machine Control for Zero Speed and Frequency." IEEE Transactions on Industrial Electronics 51, no. 5 (October 2004): 1041–47. http://dx.doi.org/10.1109/tie.2004.834965.

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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 estimator was analyzed in terms of speed tracking capability, torque response quickness, low speed behavior, step response of drive with speed reversal, sensitivity to motor parameter uncertainty, and speed tracking ability in the regenerative mode. The system gives a good performance at no-load and loaded conditions with parameter variation. The stator current-based MRAS estimator sensorless speed control technique can make the hardware simple and improve the reliability of the motor without introducing a feedback sensor, and it becomes more important in the modern AC IM. The sensorless vector control operation has been verified by simulation on Matlab and experimentally using Texas Instruments HVMTRPFCKIT with TMS320 F28035 DSP card and 0.18 kw AC IM.
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Uyulan, Caglar. "A robust-adaptive linearizing control method for sensorless high precision control of induction motor." Measurement and Control 52, no. 5-6 (April 15, 2019): 634–56. http://dx.doi.org/10.1177/0020294019833072.

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Even if there exists remarkable applications of induction machines in variable speed drives and also in speed sensorless control in the low–high speed region, open/closed loop estimators in the literature utilized on induction machine sensorless position control vary regarding to their accuracies, sensitivity, and robustness with respect to the variation of model parameter. The deterioration of dynamic performance depends on the lack of estimation techniques which provide trustable information on the flux or speed/position over a wide speed range. An effective estimator should handle the high number of parameter and model uncertainties inherent to induction machines and also torque ripple, the compensation of which is crucial for a satisfactory decoupling and linearizing control to provide the accuracy and precision requirements of demanding motion control in the field of robotics/unmanned vehicle. In this study, to address all of the above-mentioned problems, robust-adaptive linearizing schemes for the sensorless position control of induction machines based on high-order sliding modes and robust differentiators to improve performance were designed. The control schemes based on direct vector control and direct torque control are capable of torque ripple attenuation taking both space and current harmonics into account. The simulation results comprise both the estimation and sensorless speed control of induction machines over a wide operation range, especially at low and zero speed, all of which are promising and indicate significant superiority over existing solutions in the literature for the high precision, direct-drive, speed/position sensorless control of squirrel-cage induction machines.
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Chen, Chang Chun, Jia Dan Wei, Bo Zhou, and Guo Sheng Li. "A Novel Speed Sensorless Control of Brushless DC Motor in Position Servo System." Advanced Materials Research 383-390 (November 2011): 4424–31. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4424.

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Zero crossing points of Back-Electromotive force (EMF) is the most mature and widely used method of the speed sensorless control of brushless DC motor (BLDCM). However, with the poor performance from standstill to low speed, it is not suitable for the position servo system. Therefore, this paper first analyzes several conventional speed sensorless control schemes in the BLDCM, then presents a novel control algorithms for the BLDCM. In the proposed method, the short pulse sensing method for the rotor position in the Start-Up process and self-synchronization with zero cross points of back-EMF are combined together. As a result, the BLDCM used in the position servo system can be easily controlled from zero to high speed, the theoretical analysis is verified by the simulation results based on Matlab, it shows that the proposed algorithms can improve the performances of position servo system compared with the conventional methods.
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Wu, Jingbo, Yongwei Wang, and Zhijun Guo. "Hybrid Pulse High-Frequency Voltage Injection Control Algorithm of Sensorless IPMSM for Vehicles." Computational Intelligence and Neuroscience 2022 (September 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/4248643.

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A hybrid pulse vibration high-frequency voltage signal injection method is proposed to solve the problems that the conventional sensorless control algorithm of vehicle IPMSM may generate a large estimated rotor position error and opposite directions in identifying the polarity of magnetic poles under zero-speed and high-torque starting and low-speed operation. The magnetic pole polarity is identified by the saturation effect of the flux chain by injecting a high-frequency sinusoidal voltage signal and opposite pulse voltage signal into the axis d ^ of the assumed coordinate system simultaneously. Subsequently, the position relationship between the assumed d ^ axis and the actual d axis is studied in accordance with the amplitude of response current to acquire the rotor position and speed information. The simulation and experimental results suggest that the algorithm is capable of accurately identifying the magnetic pole polarity and estimating the rotor position at zero speed and low speeds, starting the motor smoothly at zero speed, and then operating the motor stably at low speeds.
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Mini, Youssouf, Ngac Ky Nguyen, Eric Semail, and Duc Tan Vu. "Enhancement of Sensorless Control for Non-Sinusoidal Multiphase Drives-Part I: Operation in Medium and High-Speed Range." Energies 15, no. 2 (January 15, 2022): 607. http://dx.doi.org/10.3390/en15020607.

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This two-part study proposes a new sensorless control strategy for non-sinusoidal multiphase permanent magnet synchronous machines (PMSMs), especially integrated motor drives (IMDs). Based on the Sliding Mode Observer (SMO), the proposed sensorless control strategy uses the signals (currents and voltages) of all fictitious machines of the multiphase PMSMs. It can estimate the high-accuracy rotor positions that are required in vector control. This proposed strategy is compared to the conventional sensorless control strategy that applies only current and voltage signals of the main fictitious machine, including the fundamental component of back electromotive force (back EMF) of non-sinusoidal multiphase PMSMs. Therefore, in order to choose an appropriate sensorless control strategy for the non-sinusoidal multiphase PMSMs, these two sensorless control strategies will be highlighted in terms of precision with respect to rotor position and speed estimation. Simulations and the experimental results obtained with a non-sinusoidal seven-phase PMSM will be shown to verify and compare the two sensorless control strategies. In this part of the study (part I), only sensorless control in the medium and high-speed range is considered. Sensorless control at the zero and low-speed range will be treated in the second part of this study (part II).
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Consoli, A., F. Russo, G. Scarcella, and A. Testa. "Low- and zero-speed sensorless control of synchronous reluctance motors." IEEE Transactions on Industry Applications 35, no. 5 (1999): 1050–57. http://dx.doi.org/10.1109/28.793365.

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Wellerdieck, Tobias, Thomas Nussbaumer, and Johann W. Kolar. "Angle-Sensorless Zero- and Low-Speed Control of Bearingless Machines." IEEE Transactions on Magnetics 52, no. 7 (July 2016): 1–4. http://dx.doi.org/10.1109/tmag.2016.2527059.

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Li, Dengke, and Yukun Liu. "Research on Position Sensorless Vector Control of Synchronous Reluctance Motor Based on High Frequency Injection Method." Journal of Physics: Conference Series 2173, no. 1 (January 1, 2022): 012055. http://dx.doi.org/10.1088/1742-6596/2173/1/012055.

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Abstract In order to achieve the high-performance control position sensorless vector control of synchronous reluctance motor (SynRM), this paper investigated its running-up performance and capability at zero or low speed range. The contribution of this paper mainly includes two parts. Firstly, it takes cross-saturation effect into consideration, Secondly, the paper improves the control stiffness and reliability under low-speed sensorless operation condition by adopting the pulsating sinusoidal high frequency voltage injection snesorless method. By injecting high-frequency voltage excitation signal, the rotor position is estimated from the high-frequency response current. The simulation results verified the feasibility of the control algorithm, and fulfilled the running-up of the SynRM at zero speed, the capability of stability is evaluated via simulation results.
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Urbanski, Konrad, and Dariusz Janiszewski. "Sensorless Control of the Permanent Magnet Synchronous Motor." Sensors 19, no. 16 (August 14, 2019): 3546. http://dx.doi.org/10.3390/s19163546.

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This paper describes the study and experimental verification of sensorless control of permanent magnet synchronous motors with a high precision drive using two novel estimation methods. All the studies of the modified Luenberger observer, reference model, and unscented Kalman filter are presented with algorithm details. The main part determines trials with a full range of reference speeds with a special near-zero speed area taken into account. In order to compare the estimation performances of the observers, both are designed for the same motor and control system and run in the same environment. The experimental results indicate that the presented methods are capable of tracking the actual values of speed and motor position with small deviation, sufficient for precise control.
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Dissertations / Theses on the topic "Zero speed sensorless control"

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Raute, Reiko. "Sensorless control of AC machines for low and zero speed operation without additional test signal injection." Thesis, University of Nottingham, 2009. http://eprints.nottingham.ac.uk/10930/.

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This work considers the sensorless control of AC machines for the low and zero speed operation range. Two novel techniques have been developed that use the inherit nature of the inverter PWM to estimate the rotor position of the machine. The inherent back EMF and the saliency of AC machines can be utilized to identify the rotor/flux position. The zero vector current derivative (ZVCD) technique for permanent magnet synchronous machines (PMSM) utilizes both of these effects. No additional test signals are injected into the machine and the difficulty in sensing the machine terminal voltage at low speed is eased. Only three standard current transducers are used in the drive system. For the position/ speed estimator only the machine current derivative during the relatively long (at low speed) zero voltage vectors is used for obtaining the rotor position. Practical results show the operation of the drive at several torque and speed conditions including stand still. A further method has been developed for the sensorless control of induction machines. The high frequency harmonics present in a PWM inverter drive system can be used to detect an equivalent impendence saliency that shows modulation due to rotor/ flux position saliency. The proposed method focuses particularly on the extraction of spatial saliency modulation due to rotor bar slotting effect, which can be used to determine the mechanical rotor position. No additional signal injection is required; the method simply employs some of the inherent PWM carrier harmonics.
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Sevinc, Ata. "Speed sensorless control of induction motors." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364962.

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Budden, Alan Stephen. "Sensorless zero-speed position detection for brushless permanent magnet machines." Thesis, University of Bristol, 2006. http://hdl.handle.net/1983/05c6fe86-20a7-4a40-b39d-4f62d0c774a7.

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Ozcelik, Eray. "Speed Sensorless Vector Control Of Induction Machine." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606063/index.pdf.

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Focus of this work is closed-loop speed control of an induction machine based on direct field-oriented control (DFOC) algorithm, using estimates of speed and flux observers which utilize only stator current and voltage. Theoretical bases of the algorithms are explained in detail and their performances are investigated with simulations and experiments. Field Orientated Control is based on projections which transform a threephase time and speed dependent system into a two co-ordinate time invariant system. These projections lead to a structure similar to that of a DC machine control. Transformations are done in synchronous frame alligned to d-axis of rotor flux. So rotor flux position must be known accurately to make these transformations. Degined flux observer, in which voltage model is assisted by current model via a closed-loop to compensate voltage model&rsquo
s disadvantages, estimates the position of the rotor flux. Obtaining adequate torque control via FOC, speed loop is closed using conventional PI regulators. Speed feedback is necessary to complete control loop. Model Reference Adaptive System is studied as a speed estimator. Reactive power scheme is applied to MRAS algorithm to estimate rotor speed. In this study, the direct (rotor) flux oriented control system with flux and speed estimators is described and tested in real-time with the starter kit named TMS320F2812 eZdsp DSK and the Embedded Target for the TI C2000 DSP tool of Matlab
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Zhang, Zaining. "Sensorless vector control for induction motors." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340849.

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Cilia, Joseph. "Sensorless speed and position control of induction motor drives." Thesis, University of Nottingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362888.

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Kumara, I. N. Satya. "Speed sensorless field oriented control for induction motor drive." Thesis, University of Newcastle Upon Tyne, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430695.

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Rind, S. J. "Speed sensorless induction motor drive control for electric vehicles." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3008062/.

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Fast diminishing fossil fuel resources, deterioration in air quality and concerns for environmental protection, continuously promote the interest in the research and development of Alternative Energy Vehicles (AEVs). Traction motor drive is an integral part and common electric propulsion system in all kinds of AEVs. It plays an utmost significant role in the development of electrified transport industry. Application of Induction Motor (IM) drive is not only limited to the domestic and industrial applications but also has an ubiquitous influence in the modern electrified transport sector. IM is characterized by a simple and rugged structure, operational reliability, low maintenance, low cost, ability to operate in a hostile environment and high dynamic performance. However, IM is one of the widely accepted choices by Electric Vehicles (EVs) manufacturer. At present, Variable speed IM drive is almost replacing the traditional DC motor drive in a wide range of applications including EVs where a fast dynamic response is required. It became possible after the technological advancement and development in the field of power switching devices, digital signal processing and recently intelligent control systems have led to great improvements in the dynamic performance of traction drives. Speed Sensorless control strategies offer better system’s reliability and robustness and reduce the drive cost, size and maintenance requirements. Sensorless IM drives have been applied on medium and high speed applications successfully. However, instability at low speed and under different load disturbance conditions are still a critical problem in this research field and has not been robustly achieved. Some application such as traction drives and cranes are required to maintain the desired level of torque down to low speed levels with uncertain load torque disturbance conditions. Speed and torque control is more important particularly in motor-in-wheel traction drive train configuration EVs where vehicle wheel rim is directly connected to the motor shaft to control the speed and torque. The main purpose of this research is to improve the dynamic performance of conventional proportional-integral controller based model reference adaptive system (PI-MRAS) speed observer by using several speed profiles under different load torque disturbance conditions, which is uncertain during the whole vehicle operation apart from the vehicle own load. Since, vehicle has to face different road conditions and aerodynamic effects which continuously change the net load torque effect on the traction drive. This thesis proposes different novel methods based on the fuzzy logic control (FLC) and sliding mode control (SMC) with rotor flux MRAS. Numerous simulations and experimental tests designed with respect to the EV operation are carried out to investigate the speed estimation performance of the proposed schemes and compared with the PI-MRAS speed observer. For simulation and experimental purpose, Matlab-Simulink environment and dSPACE DS-1104 controller board are used respectively. The results presented in this thesis show great performance improvements of the proposed schemes in speed estimation & load disturbance rejection capability and provide a suitable choice of speed sensoless IM drive control for EVs with cost effectiveness.
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Comanescu, Mihai. "Flux and speed estimation techniques for sensorless control of induction motors." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116338965.

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Thesis (Ph.D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xv, 109 p.; also includes graphics. Includes bibliographical references (p. 106-109). Available online via OhioLINK's ETD Center
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Bateman, Christopher John. "Sensorless control strategies for low-cost, high-speed electrical drive systems." Thesis, University of Newcastle Upon Tyne, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607165.

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Brushless machine topologies have highly favourable qualities for certain applications: no commutator means these machines can be operated at extremely high speeds and because there are no brushes to wear out they are very reliable. It is necessary to know the position of the rotor to operate the machine - this function is performed by the commutator in brushed machine types. For a brushless machine some form of position sensor is normally used to provide the required position information, however, this has drawbacks. Some position sensors can be quite costly and they are often unreliable when operated in hot, electrically noisy environments; decreasing the reliability of an otherwise extremely dependable machine. Several 'sensorless' control schemes have been developed over the years to remove the need for position sensors. This EngD thesis is split into two parts. The first part focuses on a 1,600W, lOO,OOOrpm switched reluctance machine and drive system, used in several products produced by Dyson Ltd. An existing, high-speed, sensorless, control strategy is applied to the machine and the stability of the scheme is analysed. The main challenge with applying a sensorless scheme to this system is the varying nature of the DC link voltage, present due to the low DC link capacitance, which is necessary to reduce costs. A major contribution of this work is the meeting of this challenge. The second part of the thesis examines a 200W, lOO,OOOrpm,battery powered brushless DC machine and a 1,600W, lOO,OOOrpm, mains voltage powered brushless DC machine. A low-speed and high-speed sensorless control system is implemented on the 200W system and the same high-speed sensorless scheme is applied to the 1,600W system. The main difficulty with these machines is that they are single-phase and many existing sensorless methods cannot be applied to them. As with the switched reluctance machine in part one, the 1,600W brushless DC machine has a varying DC link voltage. The main aims were to produce extremely low-cost, reliable sensorless systems that will replace the existing position sensors used on the drives and operate the machines to speeds in excess of 100,000rpm.
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Books on the topic "Zero speed sensorless control"

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Kaushik, Rajashekara, Kawamura Atsuo, and Matsuse Kouki, eds. Sensorless control of AC motor drives: Speed and position sensorless operation. New York: Institute of Electrical and Electronics Engineers, 1996.

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(Editor), Kaushik Rajashekara, Atsuo Kawamura (Editor), and Kouki Matsuse (Editor), eds. Sensorless Control of Ac Motor Drives: Speed and Position Sensorless Operation. Ieee, 1996.

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ANN Based Sensorless Speed Control of BLDC Motor. Kanyakumari, India: ASDF International, 2017.

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Speed sensorless induction motor drives for electrical actuators: Schemes, trends and tradeoffs. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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Jiang, Linda. Speed Sensorless Field Oriented Control of Permanent Magnet Synchronous Motor (Surface and Interior) for Appliances. Microchip Technology Incorporated, 2020.

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Vaez-Zadeh, Sadegh. Rotor Position and Speed Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0006.

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The ultimate importance of rotor position and speed information in permanent magnet synchronous (PMS) machines control, and the industry interest to the rotor and speed sensorless systems as a cost-saving and practical alternative to the motor control with mechanical sensors are emphasized. Major position and speed estimation schemes are then presented in detail. These are the: back electromotive force (EMF)-based method; flux linkage method; hypothesis rotor position method; saliency-based method, including high frequency signal injection and inverter switching harmonics schemes; and finally, the observer-based method, including state observer and extended Kalman filter-based schemes. Each scheme was discussed by presenting the corresponding fundamental principles, followed by the appropriate motor model, estimation procedure, and the implementation. Demanding criteria such as accuracy, robustness, swiftness, and capability of working over the entire range of motor operation are discussed with each method.
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Speed Control of Sensorless Brushless DC Motor: Brushless DC Motor Controller, AC Gear Motor, Permanent Magnet DC Motor, Large DC Motors, Brushless Electric Motor, Brushless DC Motor, DC Motors, Servo Motor. Independently Published, 2018.

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Book chapters on the topic "Zero speed sensorless control"

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Shah, Dhruv, Gerardo Espinosa-Pérez, Romeo Ortega, and Michaël Hilairet. "Sensorless Speed Control of PMSM." In AC Electric Motors Control, 311–40. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch15.

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Bhavani, N. P. G., M. Aruna, K. Sujatha, R. Vani, and N. Priya. "Sensorless Speed Control of Induction Motor Using Modern Predictive Control." In Advances in Intelligent Systems and Computing, 675–83. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6981-8_53.

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Quan, Longhu, Zhanshan Wang, Xiuchong Liu, and Mingguo Zheng. "Sensorless PMSM Speed Control Based on NN Adaptive Observer." In Advances in Neural Networks – ISNN 2014, 100–109. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12436-0_12.

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Yan, Tao, Jun Liu, and Haiyan Zhang. "Sensorless Vector Control of PMSM in Wide Speed Range." In Communications in Computer and Information Science, 363–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45261-5_38.

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Shanmugasundaram, R., C. Ganesh, B. Adhavan, A. Singaravelan, and B. Gunapriya. "Sensorless Speed Control of BLDC Motor for EV Applications." In Sustainable Communication Networks and Application, 359–70. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6605-6_26.

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Zhang, Yuhang, Wangyu Qin, Dawei Zheng, Chongxia Zhou, and Jianhui Liu. "Overview of Speed Sensorless Control of Permanent Magnet Synchronous Motors." In Geo-informatics in Sustainable Ecosystem and Society, 240–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7025-0_25.

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Wang, Gaolin, Guoqiang Zhang, and Dianguo Xu. "Low-Frequency Ratio Sensorless Control for High-Speed PMSM Drives." In Position Sensorless Control Techniques for Permanent Magnet Synchronous Machine Drives, 203–32. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0050-3_7.

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Arulmozhiyal, R., C. Deepa, and Kaliyaperumal Baskaran. "Optimized Neuro PI Based Speed Control of Sensorless Induction Motor." In Swarm, Evolutionary, and Memetic Computing, 310–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27242-4_36.

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Beddiaf, Yassine, Fatiha Zidani, and Larbi Chrifi-Alaoui. "Sensorless Speed Control of Induction Motor Used Differential Flatness Theory." In Lecture Notes in Electrical Engineering, 3–21. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6403-1_1.

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Mohana Lakshmi, J., H. N. Suresh, and Varsha K. S. Pai. "Nonlinear Speed Estimator and Fuzzy Control for Sensorless IM Drive." In Proceedings of First International Conference on Smart System, Innovations and Computing, 307–18. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5828-8_30.

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Conference papers on the topic "Zero speed sensorless control"

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Urlep, Evgen, and Karel Jezernik. "Low and Zero Speed Sensorless Control of nonsalient PMSM." In 2007 IEEE International Symposium on Industrial Electronics. IEEE, 2007. http://dx.doi.org/10.1109/isie.2007.4374956.

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Wolbank, T. M., and M. K. Metwally. "Zero Speed Sensorless Control of Induction Machines Using Rotor Saliencies." In 2008 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2008. http://dx.doi.org/10.1109/08ias.2008.228.

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Rasmussen, H., P. Vadstrup, and H. Borsting. "Adaptive sensorless field oriented control of PM motors including zero speed." In 2004 IEEE International Symposium on Industrial Electronics. IEEE, 2004. http://dx.doi.org/10.1109/isie.2004.1571982.

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Giangrande, Paolo, and Francesco Cupertino. "A simplified position observer for zero-speed sensorless control of synchronous motors." In IECON 2009 - 35th Annual Conference of IEEE Industrial Electronics (IECON). IEEE, 2009. http://dx.doi.org/10.1109/iecon.2009.5414693.

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Al-nabi, Ehsan, Bin Wu, Navid R. Zargari, and Vijay Sood. "Zero and low speed sensorless control for CSC-fed IPM drive system." In 2012 IEEE Applied Power Electronics Conference and Exposition - APEC 2012. IEEE, 2012. http://dx.doi.org/10.1109/apec.2012.6165882.

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Yu Liu, Miao Wang, and Longya Xu. "Sensorless control of BLDC motor from zero to low speed based on rotor saliency." In 2014 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2014. http://dx.doi.org/10.1109/itec-ap.2014.6940933.

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Wolbank, Th M., H. Giuliani, and R. Woehrnschimmel. "High Dynamic Sensorless Control of Induction Machines at Zero Speed Using Transient Excitation Technique." In 2005 IEEE 36th Power Electronic Specialists Conference. IEEE, 2005. http://dx.doi.org/10.1109/pesc.2005.1581977.

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Makaino, Yuki, Hamin Song, and Shinji Doki. "A position sensorless control for IPMSM at low speed based on current response at zero voltage vector without any additional signal injection." In 2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED). IEEE, 2016. http://dx.doi.org/10.1109/sled.2016.7518793.

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Kisck, Dragos Ovidiu, Dragos Anghel, Mariana Kisck, and Ji Won Kim. "Study and implementation of sensorless speed control of interior permanent magnet motor from zero to very high speed." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7048610.

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Rasmussen, H., P. Vadstrup, and H. Borsting. "Speed sensorless field oriented control of an induction motor at zero speed with identification of inverter model parameters." In Proceedings of the 2002 IEEE International Symposium on Industrial Electronics. IEEE, 2002. http://dx.doi.org/10.1109/isie.2002.1025838.

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