Journal articles: 'Zero speed sensorless control'

1

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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8

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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9

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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11

Li, Yong, Hao Wu, Xing Xu, Xiaodong Sun, and Jindong Zhao. "Rotor Position Estimation Approaches for Sensorless Control of Permanent Magnet Traction Motor in Electric Vehicles: A Review." World Electric Vehicle Journal 12, no. 1 (January 10, 2021): 9. http://dx.doi.org/10.3390/wevj12010009.

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Permanent magnet traction motor has the advantages of high efficiency, high power density, high torque density and quick dynamic response, which has been widely used in the traction field of electric vehicle. The high-performance control of permanent magnet traction motor depends on accurate rotor position information, which is usually obtained by using mechanical position sensors such as hall sensor, encoder and rotary transformer. However, the traditional mechanical sensor has the disadvantages of high cost, large volume and poor anti-interference ability, which limits the application of permanent magnet motor. The sensorless control technology is an effective way to solve the above-mentioned problem. Firstly, the sensorless control techniques of permanent magnet motor are classified. The sensorless control techniques of permanent magnet motor for rotor initial position, zero-low speed range, medium-high speed range and full speed range are deeply described and compared. Finally, the development trend of sensorless control technology of permanent magnet traction motor is prospected.

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Li, Yong, Hao Wu, Xing Xu, Xiaodong Sun, and Jindong Zhao. "Rotor Position Estimation Approaches for Sensorless Control of Permanent Magnet Traction Motor in Electric Vehicles: A Review." World Electric Vehicle Journal 12, no. 1 (January 10, 2021): 9. http://dx.doi.org/10.3390/wevj12010009.

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Permanent magnet traction motor has the advantages of high efficiency, high power density, high torque density and quick dynamic response, which has been widely used in the traction field of electric vehicle. The high-performance control of permanent magnet traction motor depends on accurate rotor position information, which is usually obtained by using mechanical position sensors such as hall sensor, encoder and rotary transformer. However, the traditional mechanical sensor has the disadvantages of high cost, large volume and poor anti-interference ability, which limits the application of permanent magnet motor. The sensorless control technology is an effective way to solve the above-mentioned problem. Firstly, the sensorless control techniques of permanent magnet motor are classified. The sensorless control techniques of permanent magnet motor for rotor initial position, zero-low speed range, medium-high speed range and full speed range are deeply described and compared. Finally, the development trend of sensorless control technology of permanent magnet traction motor is prospected.

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13

Mao, Yongle, Jiaqiang Yang, Dejun Yin, and Yangsheng Chen. "Sensorless interior permanent magnet synchronous motor control with rotational inertia adjustment." Advances in Mechanical Engineering 9, no. 1 (January 2017): 168781401668474. http://dx.doi.org/10.1177/1687814016684745.

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Mechanical model is generally required in high dynamic sensorless motor control schemes for zero phase lag estimation of rotor position and speed. However, the rotational inertia uncertainty will cause dynamic estimation errors, eventually resulting in performance deterioration of the sensorless control system. Therefore, this article proposes a high dynamic performance sensorless control strategy with online adjustment of the rotational inertia. Based on a synthetic back electromotive force model, the voltage equation of interior permanent magnet synchronous motor is transformed to that of an equivalent non-salient permanent magnet synchronous motor. Then, an extended nonlinear observer is designed for interior permanent magnet synchronous motor in the stator-fixed coordinate frame, with rotor position, speed and load torque simultaneously estimated. The effect of inaccurate rotational inertia on the estimation of rotor position and speed is investigated, and a novel rotational inertia adjustment approach that employs the gradient descent algorithm is proposed to suppress the dynamic estimation errors. The effectiveness of the proposed control strategy is demonstrated by experimental tests.

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14

Akatsu, Kan, and Atsuo Kawamura. "Zero Speed Sensorless Control of Induction Motor with Ideal Voltage Source." IEEJ Transactions on Industry Applications 120, no. 12 (2000): 1408–18. http://dx.doi.org/10.1541/ieejias.120.1408.

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15

Duhancik, M., S. Gaspar, and T. Coranic. "Sensorless Control of Asynchronous Motor at Low speed." IOP Conference Series: Materials Science and Engineering 1199, no. 1 (November 1, 2021): 012090. http://dx.doi.org/10.1088/1757-899x/1199/1/012090.

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Abstract The subject of the submitted paper is to provide a detailed description of simulation control of rotor position sensing of an asynchronous motor by an injection method of high-frequency analogue signal on supply signal frequency of up to 5 Hz, i.e., at zero and low speed. In general, contrary to discrete signal injection, the implementation of the method appears to be simpler for continual signal injection aimed at monitoring of asymmetry of rotary electric machines, however, the process of information gathering related to position of monitored asymmetries during signal reaction processing is more complicated. Genuine verification of the method requires designing a mathematical model of a motor including asymmetries caused by rotor grooving and by magnetic core saturation. The asymmetries occurring in asynchronous motors considerably influence the instant value of a stator induction LS. Asymmetries caused by magnetic circuit saturation were identified and eliminated because of inducing the measured signal distortion. The elimination method LMDEM is the method proposed for repressing the asymmetries. The asymmetries caused by rotor grooving are intended to detect the rotor position. In final part, mathematical functions will be used for converting the signal to rotor position.

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16

Zair, Moustafa, and Abdeldjebar Hazzab. "MRAS Speed Sensorless Vector Control of Induction Motor Drives using Predictive Adaptation Mechanism." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (December 1, 2018): 1523. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1523-1533.

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Recently of the main topic of research is the sensorless vector control of induction motor drive, In this paper presents the predictive model reference adaptive system (PMRAS) rotor speed observer, This observer developed from the classical MRAS rotor flux scheme associated with predictive adaptation mechanism designed from the Finite Control Set Model Predictive Control (FCS–MPC) by using a search optimization algorithm for calculate the rotor position which guarantee a minimum speed tuning error signal at each sampling period. The effectiveness of the proposed observer proved with the simulation results, show high dynamic performance speed and position observed in sensorless vector control process at low and zero speed as well robustness against motor parameter variation with different loading conditions.

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17

Choi, Jongwon. "Regression Model-Based Flux Observer for IPMSM Sensorless Control with Wide Speed Range." Energies 14, no. 19 (October 1, 2021): 6249. http://dx.doi.org/10.3390/en14196249.

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A new linear regression form is derived for a flux observer and a position observer is designed. In general, the observability of the permanent-magnet synchronous motor is lost at zero speed. In this work, the proposed regressor vector contains current derivative terms in both directions (dq-axis), and it gives the chance for the model-based flux observer to operate at zero speed. When an excitation signal is injected into d and q axes with the proposed flux observer, it helps to satisfy the persistent excitation condition in the low-speed range. Therefore, the sensorless performance of the model-based is improved greatly, even at zero speed. However, it appears with a disturbance term, which depends on the derivative of the d-axis current. Thus, the disturbance does not vanish when an excitation signal is injected. In this work, the disturbance term is also taken care of in constructing an observer. It results in an observer which allows signal injection. Thus, high frequency signal can be injected in the low speed region and turned off when it is unnecessary as the speed increases. This model-based approach utilizes the signal injection directly without recurring to a separate high frequency model. In other words, it provides a seamless transition without switching to the other algorithm. The validity is demonstrated by simulation and experimental results under various load conditions near zero speed.

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Zhu, Jian Guang, Kai Jiang, and Hao Zheng. "Research on Sensorless Control System of BLDCM Based on TMS320F2812." Advanced Materials Research 580 (October 2012): 301–5. http://dx.doi.org/10.4028/www.scientific.net/amr.580.301.

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An electronic control system for sensorless BLDCM is proposed. Normally, the back-emf signal has coupling noise from the PWM signal which is used to vary the speed of the motor. So it is difficult to detect the zero-crossing point accurately when the motor work at low speed. In order to improve the controllability of BLDCM at low speed, a new algorithm is presented. The control system is implemented from both hardware and software parts. And the experiments verified the good control performance and dynamic characteristics of the system.

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Wang, Shuang, Jianfei Zhao, and Kang Yang. "High Frequency Square-Wave Voltage Injection Scheme-Based Position Sensorless Control of IPMSM in the Low- and Zero- Speed Range." Energies 12, no. 24 (December 14, 2019): 4776. http://dx.doi.org/10.3390/en12244776.

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In this paper, a new sensorless control scheme with the injection of a high-frequency square-wave voltage of an interior permanent-magnet synchronous motor (IPMSM) at low- and zero-speed operation is proposed. Conventional schemes may face the problems of obvious current sampling noise and slow identification in the process of magnetic polarity detection at zero speed operation, and the effects of inverter voltage error on the rotor position estimation accuracy at low speed operation. Based on the principle analysis of d-axis magnetic circuit characteristics, a method for determining the direction of magnetic polarity of d-axis two-opposite DC voltage offset by uninterruptible square-wave injection is proposed, which is fast in convergence rate of magnetic polarity detection and more distinct. In addition, the strategy injects a two-opposite high-frequency square-wave voltage vectors other than the one voltage vector into the estimated synchronous reference frame (SRF), which can reduce the effects of inverter voltage error on the rotor position estimation accuracy. With this approach, low-pass filter (LPF) and band-pass filter (BPF), which are used to obtain the fundamental current component and high-frequency current response with rotor position information respectively in the conventional sensorless control, are removed to simplify the signal process for estimating the rotor position and further improve control bandwidth. Finally, the experimental results on an IPMSM drive platform indicate that the rotor position with good steady state and dynamic performance can be obtained accurately at low-and zero-speed operation with the sensorless control strategy.

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Feng, Ying, Bo Zhou, Ying Liu, and Shuai Li. "Sensorless Control of SPMSM Based on High-Frequency Current Signal Injection in the Direct Axis at Low and Zero Speed." Advanced Materials Research 383-390 (November 2011): 2856–61. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2856.

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A novel sensorless control method of surface-mounted permanent magnet synchronous motor (SPMSM) based on high frequency (HF) current signal injection is proposed in this paper. A HF sinusoidal current signal is superimposed into the estimated d-axis, and the rotor position can be demodulated after q-axis voltage is regulated, which is relative to error angle. Ultimately sensorless control can be achieved. Theoretical analysis and simulation validation are carried out. The simulation results indicate that the rotor position and speed can be obtained exactly at low and zero speed. The approach ensures good dynamic and static performances, and can realize accurate position servo control.

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21

Wang, Hui. "BLDC Motor Sensorless Control System Based on ADSP-BF548." Applied Mechanics and Materials 494-495 (February 2014): 1253–56. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1253.

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In this thesis , the control strategy based on sensorless BLDCM(Brushless DC Motor) has been researched.A control system for BLDCM operating on ADSP-BF548 has been given. we focus on studying the control strategy of sensorless BLDC motor based on back-EMF detection, and present a control system for BLDC motor based on ADSP-BF548 special for motor control. The calculation method of back EMF in BLDC motor was deduced and the hardware circuit of line voltage detecting was designed. A pre-position starting tactics based on back EMF detection and a tactics of phase converting by postponing back-emf-zero-crossing detecting was designed. The signal wave was filtered by postponing back-emf-zero-crossing detecting when back-emf-zero-crossing had been detected. To release the phase delay caused by hardware filtering, a phase compensation algorithm has been designed. The PID adjusting algorithm and other strategy are designed in this program. Experimental results show that the control system has good speed adjusting performance and runs stably.

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Consoli, A., G. Scarcella, and A. Testa. "Industry application of zero-speed sensorless control techniques for PM synchronous motors." IEEE Transactions on Industry Applications 37, no. 2 (2001): 513–21. http://dx.doi.org/10.1109/28.913716.

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23

Aihara, T., A. Toba, T. Yanase, A. Mashimo, and K. Endo. "Sensorless torque control of salient-pole synchronous motor at zero-speed operation." IEEE Transactions on Power Electronics 14, no. 1 (January 1999): 202–8. http://dx.doi.org/10.1109/63.737609.

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24

Hossain, S. A., I. Husain, H. Klode, B. Lequesne, A. M. Omekanda, and S. Gopalakrishnan. "Four-quadrant and zero-speed sensorless control of a switched reluctance motor." IEEE Transactions on Industry Applications 39, no. 5 (September 2003): 1343–49. http://dx.doi.org/10.1109/tia.2003.816541.

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Yongbing, Li. "SENSORLESS SELF-STARTING AND CONTROL STRATEGY OF RUSHLESS DC MOTOR." EPH - International Journal of Applied Science 4, no. 2 (June 27, 2018): 1–8. http://dx.doi.org/10.53555/eijas.v4i2.64.

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Brushless DC motor with sensors have problems, such as theirs large sizes, high costs, limited applications and so on.In order to solve them,based on STM32F103 MCU and taking it as the core,this essay uses position sensorless control based on square-wave drive,it realizes the switching of zero speed to the motor closed-loop state through three-step start technique,it checks rotor position and speed by back-EMF method.At last,it makes the motor run normally. The effectiveness and feasibility of the control scheme proposed are verified through experiments.

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Calgan, Haris. "Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 41, no. 1 (December 3, 2021): 455–70. http://dx.doi.org/10.1108/compel-05-2021-0180.

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Purpose This study aims to design and implement a novel tilt integral sliding mode controller and observer for sensorless speed control of a permanent magnet synchronous motor (PMSM). Design/methodology/approach A control strategy combining the tilt integral derivative (TID) with sliding mode control (SMC) is proposed to determine the tilt integral sliding mode manifold. Using this manifold, tilt integral sliding mode controller (TISMC) and observer (TISMO) are designed. The stabilities are verified by using Lyapunov method. To prove the effectiveness and robustness of proposed methods, sensorless speed control of PMSM is performed for various operating conditions such as constant and variable speed references, load disturbance injection, parameter perturbation, whereas sensor noises are not taken into account. The performance of proposed method is compared with TID controller, proportional integral derivative controller and conventional SMO. Findings Simulation results demonstrate that TISMC and TISMO have better performance in all operating conditions. They are robust against parameter uncertainties and disturbances. TISM based sensorless control of PMSM is well guaranteed with superior performance. Originality/value The proposed method has not been tackled in the literature. By combining TID and SMC, novel tilt integral sliding manifold is presented and used in designing of the controller and observer. It is proven by Lyapunov method that errors converge to zero.

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Bianchi, Nicola, Silverio Bolognani, Ji-Hoon Jang, and Seung-Ki Sul. "Advantages of Inset PM Machines for Zero-Speed Sensorless Position Detection." IEEE Transactions on Industry Applications 44, no. 4 (2008): 1190–98. http://dx.doi.org/10.1109/tia.2008.926203.

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Mubarok, Muhammad Syahril, Tian-Hua Liu, Chung-Yuan Tsai, and Zuo-Ying Wei. "A Wide-Adjustable Sensorless IPMSM Speed Drive Based on Current Deviation Detection under Space-Vector Modulation." Energies 13, no. 17 (August 27, 2020): 4431. http://dx.doi.org/10.3390/en13174431.

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This paper investigates the implementation of a wide-adjustable sensorless interior permanent magnet synchronous motor drive based on current deviation detection under space-vector modulation. A hybrid method that includes a zero voltage vector current deviation and an active voltage vector current deviation under space-vector pulse-width modulation is proposed to determine the rotor position. In addition, the linear transition algorithm between the two current deviation methods is investigated to obtain smooth speed responses at various operational ranges, including at a standstill and at different operating speeds, from 0 to 3000 rpm. A predictive speed-loop controller is proposed to improve the transient, load disturbance, and tracking responses for the sensorless interior permanent magnet synchronous motor (IPMSM) drive system. The computations of the position estimator and control algorithms are implemented by using a digital signal processor (DSP), TMS-320F-2808. Several experimental results are provided to validate the theoretical analysis.

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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 (January 20, 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 ANN convergence speed and avoid the trap of local minimum value of algorithm, we used themodified Particle Swarm Optimization (PSO) to optimize the weights and threshold values of neural networks. Then the ANN-based MRAS was used to identify the speed of motor in the indirect vector control system. The results of the simulation show that, by this method, the speed of motor can be identified accurately in different situations, and the result is reliable.

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Boussekra, Fayza, and Abdessalam Makouf. "Sensorless Speed Control of IPMSM Using Sliding Mode Observer Based on Active Flux Concept." Modelling, Measurement and Control A 93, no. 1-4 (December 31, 2020): 1–9. http://dx.doi.org/10.18280/mmc_a.931-401.

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This paper proposes a new speed and position sensorless control method of Interior permanent magnet synchronous motors (IPMSM) using sliding mode observer based on Active Flux concept. First, a new description of IPMSM dynamic model in the stationary reference frame using active flux concept is proposed. The model obtained suits for both SPMSM and IPMSM in the stationary reference frame, Therefore, all that sensorless controls proposed for SPMSM can be directly and easily applied to IPMSM. Secondly, from the measurement of the voltages and the currents, a new analysis of the observability property is developed. Then, the sliding mode observer (SMO) structure and its design method are described in the stationary reference frame by using the active flux equation. A “chattering” phenomenon is reduced by using this technique. The stability of the proposed SMO was verified using the Lyapunov function. The speed and position of the IPMSM are estimated based on back EMF which are related to the active flux. Moreover, the zero d-axis current control strategy is used to control the IPMSM. Finally, the proposed method on the proposed model has been simulated and tested to show the effectiveness of the proposed scheme.

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31

Shoby, Niba, Deepika Vasanthakumar, and Anupama P K. "Speed Control Using Fuzzy Controller for a Four Switch Sensorless BLDC Motor." Volume 5 - 2020, Issue 8 - August 5, no. 8 (September 16, 2020): 1668–74. http://dx.doi.org/10.38124/ijisrt20aug689.

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- Brushless Direct Current (BLDC) motors are highly efficient motors with high reliability and a longer life span. The advent of sensor less technology has improved the performance and reliability of BLDC motor drives. This work is to analyze a drive system for BLDC motor with Four-Switch Three-Phase Inverter (FSTPI). Back Electromotive Force (EMF) Zero Crossing Detection (ZCD) method is used to estimate the rotor position. Speed control of motor is achieved by using Fuzzy Logic Controller (FLC) based closed loop control system. The Simulation was carried out using MATLAB software and motor the performance was analyzed with FLC for motor speed regulation.

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Bechar, Mansour, Abdeldjebar Hazzab, Mohamed Habbab, and Pierre Sicard. "Reduced-order observer for real-time implementation speed sensorless control of induction using RT-LAB software." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (September 1, 2019): 1148. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1148-1156.

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In this paper, Reduced-Order Observer For Real-Time Implementation Speed Sensorless Control of Induction Using RT-LAB Softwareis presented. Speed estimation is performed through a reduced-order observer. The stability of the proposed observer is proved based on Lyapunov’s theorem. The model is initially built offline using Matlab/Simulink and implemented in real-time environment using RT-LAB package and an OP5600 digital simulator. RT-LAB configuration has two main subsystems master and console subsystems. These two subsystems were coordinated to achieve the real-time simulation. In order to verify the feasibility and effectiveness of proposed method, experimental results are presented over a wide speed range, including zero speed.

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33

Nalli, Rajesh, K. Subbarao, M. Ramamoorthy, and M. Kiran Kumar. "A Novel Sensorless Controlling Technique of a 3-Phase Brushless DC Motor for Industrial Application." Journal of Computational and Theoretical Nanoscience 16, no. 12 (December 1, 2019): 5032–41. http://dx.doi.org/10.1166/jctn.2019.8560.

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This paper provides the novel sensorless control technique of a 3-phase BLDC motor. The introduction to the conventional sensorless techniques like Back emf detection, free-wheeling diode detection technique, back emf third harmonic detection techniques are discussed. Conventional sensorless technique has its drawbacks like high frequency noise, having more number of switches in free-wheeling diode detection method causes more switching losses. Wrong estimation rotor position in back emf zero detection technique where the floating phase back emf is consider for commutation estimation. In all the above discussed methods the back emf estimation is a speed dependent function, whereas in proposed controlling technique the flux linkage calculation is not a speed (ω) dependent function. So, that the accuracy of rotor position prediction will be better than conventional methods. The analysis of proposed technique is compared with conventional sensor based controlling techniques to validate the accuracy. The proposed technique implemented using MATLAB/SIMULINK software.

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Zgorski, A., X. Lin-Shi, and J. Y. Gauthier. "Sensorless Position Control for Surface Permanent Magnet Synchronous Motors at Zero Speed and Acceleration." IFAC Proceedings Volumes 46, no. 11 (2013): 122–27. http://dx.doi.org/10.3182/20130703-3-fr-4038.00084.

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Szalai, Thomas, Gotthard Berger, and Jurgen Petzoldt. "Stabilizing Sensorless Control Down to Zero Speed by Using the High-Frequency Current Amplitude." IEEE Transactions on Power Electronics 29, no. 7 (July 2014): 3646–56. http://dx.doi.org/10.1109/tpel.2013.2279405.

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Zhang, Bolun, Shuangye Mo, Hao Zhou, Tong Qin, and Yong Zhong. "Finite-Time Consensus Tracking Control for Speed Sensorless Multi-Motor Systems." Applied Sciences 12, no. 11 (May 29, 2022): 5518. http://dx.doi.org/10.3390/app12115518.

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Considering the unknown compound interference in manufacturing systems, the finite-time tracking and synchronization performance of the multi-motor system significantly affects the production safety, reliability, and quality, which can be considered a multi-agent system with unmeasured speed and uncertainty. In recent years, the synchronous control schemes of the multi-motor system have grown to maturity, but the research on the speed sensorless finite-time consensus tracking control remains to be extended. This paper proposes an observer-based leader–follower consensus tracking control for the synchronous coordination control of the multi-motor system. The speed and position of all motors can be tracked by consensus in a finite time when only some motors realize partial interaction. First, a finite-time observer is designed to estimate the unknown composite disturbance and unmeasurable speed variable of each motor. Second, the distributed finite-time consensus tracking control protocol is designed using the observed value and local information interaction. The stability of the overall closed-loop system is theoretically analyzed based on Lyapunov theory and graph theory, which shows that the consensus tracking error converges to an arbitrary small neighborhood of zero, and all signals are globally bounded in finite time. Finally, simulation results are provided to illustrate the effectiveness of the proposed control method.

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Yu, Hsing Cheng, Chih Chiang Wang, Chau Shin Jang, Wen Yang Peng, and T. S. Liu. "Blowers of Vacuum Cleaners Utilizing Coreless and Sensorless Axial-Flux Motors with Edge-Wire Coils." Applied Mechanics and Materials 284-287 (January 2013): 1770–77. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1770.

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Axial-flux motors (AFM) generally have higher torque and power densities, smaller volume and weight, larger diameter to length ratio, and compact construction for the same power level than radial-flux motors (RFM). Hence, AFM are attractive alternative to conventional RFM for applying in low torque and speed servo control systems. Additionally, magnetic Hall-effect sensors and commutation circuits are unsuitable for environment with high temperature and restricted space, so sensorless driving control method of AFM by detecting zero-crossing of back-EMF signals has been achieved. Furthermore, coreless design can reduce motor total weight, normal attractive force and torque pulsation and can increase efficiency of machines as compared with conventional design with cores. Thus, this study focuses on sensorless AFM design applying for blowers in vacuum cleaners to follow the concepts of axial-flux, edge-wire with high space-utilization factors, and stators without ferromagnetic cores. The closed-loop velocity controller designs by adopting proportional-integral-derivative (PID) and fuzzy logic control (FLC) algorithms have been demonstrated effectively for the design sensorless AFM of blowers in vacuum cleaners. As a result, the settling time of velocity closed-loop control methods can be converged within 1.0 second; i.e. the vacuum cleaners can switch and operate in various speeds with different operational environment rapidly. Therefore, the system characteristics and lifetime of the designed sensorless AFM have been enhanced and satisfied the demands of blowers to employ in vacuum cleaners.

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Touam, Mokhtar, Mohammed Chenafa, Soufyane Chekroun, and Ramzi‎ Salim. "Sensorless nonlinear sliding mode control of the induction machine at very low speed using FM-MRAS observer." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 4 (December 1, 2021): 1987. http://dx.doi.org/10.11591/ijpeds.v12.i4.pp1987-1998.

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The induction motor is complex because its dynamic is nonlinear, multivariable and highly coupled. In addition, the induction motor (IM) controller design can be degraded due to wide ranges operating speed specially in low and near-zero speeds and also to variation of interval parameters such as the stator resistance change because of stator heating during operation. Our contribution is the use of a nonlinear sliding mode control using a fuzzy mutual reference adaptive system observer based on two fuzzy adaptation mechanisms to estimate both rotor speed and stator resistance. The proposed work was verified and compared by simulation and tested in various ranges of speed with motor and regenerating regions of operation. The results show that the proposed approach has proved good effectiveness in tracking and observation.

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Bianchi, N., S. Bolognani, Ji-Hoon Jang, and Seung-Ki Sul. "Comparison of PM Motor Structures and Sensorless Control Techniques for Zero-Speed Rotor Position Detection." IEEE Transactions on Power Electronics 22, no. 6 (November 2007): 2466–75. http://dx.doi.org/10.1109/tpel.2007.904238.

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Bugsch, Martha, and Bernhard Piepenbreier. "High-Bandwidth Sensorless Control of Synchronous Reluctance Machines in the Low- and Zero-Speed Range." IEEE Transactions on Industry Applications 56, no. 3 (May 2020): 2663–72. http://dx.doi.org/10.1109/tia.2020.2969123.

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B, Tamilselvi. "Efficient Sensorless Speed Control Approach using Comparator with Zero Cross Detection for Brushless DC Motor." Bonfring International Journal of Power Systems and Integrated Circuits 3, no. 4 (December 8, 2013): 31–35. http://dx.doi.org/10.9756/bijpsic.4789.

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Plantić, Marčič, Beković, and Štumberger. "Sensorless PMSM Drive Implementation by Introduction of Maximum Efficiency Characteristics in Reference Current Generation." Energies 12, no. 18 (September 11, 2019): 3502. http://dx.doi.org/10.3390/en12183502.

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This paper presents the efficiency improvement in a speed closed-loop controlled permanent magnet synchronous machine (PMSM) sensorless drive. The drive efficiency can be improved by minimizing the inverter and the PMSM losses. These can be influenced by proper selection of DC-bus voltage and switching frequency of the inverter. The direct (d-) and quadrature (q-) axis current references generation methods, discussed in this paper, further improve the efficiency of the drive. Besides zero d-axis current reference control, the maximum torque per ampere (MTPA) characteristic is normally applied to generate the d- and q-axis current references in vector controlled PMSM drives. It assures control with maximum torque per unit of current but cannot assure maximum efficiency. In order to improve efficiency of the PMSM drive, this paper proposes the generation of d- and q-axis current references based on maximum efficiency (ME) characteristic. In the case study, the MTPA and ME characteristics are theoretically evaluated and determined experimentally by measurements on discussed PMSM drive. The obtained characteristics are applied for the d- and q-axis current references generation in the speed closed-loop vector controlled PMSM drive. The measured drive efficiency clearly shows that the use of ME characteristic instead of MTPA characteristic or zero d-axis current in the current references generation improves the efficiency of PMSM drive realizations with position sensor and without it—sensorless control.

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Metwally, M. K. "Sensorless speed control of 4-switch three phase inverter fed induction motor drives at very low and zero speed." Alexandria Engineering Journal 52, no. 3 (September 2013): 327–36. http://dx.doi.org/10.1016/j.aej.2013.05.003.

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Kullick, Julian, and Christoph M. Hackl. "Speed-Sensorless Control of Induction Machines with LC Filter for Geothermal Electric Submersible Pumping Systems." Machines 10, no. 2 (January 25, 2022): 87. http://dx.doi.org/10.3390/machines10020087.

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A speed-sensorless state-feedback controller for induction machines (IMs) with LC filter is proposed. The speed and state estimation is based on a speed-adaptive observer, requiring only the measurement of the filter input currents. The motor currents are controlled by a state-feedback controller with prefilter and integral control action, in order to achieve fast and asymptotic set point tracking. Observer and controller gains are calculated offline using linear quadratic regulator (LQR) theory and updated online (gain-scheduling) in order to attain stability and improve controller performance in the whole operation range. Implementation aspects, such as discretization of the control system and reduction of computational effort, are taken into account as well. The proposed control scheme is validated by simulations and experimental results, even for critical operating conditions such as speed zero-crossings. It is shown that the overall control system performs very well under various load- and speed conditions; while its tuning remains simple which makes it attractive for industrial application such as geothermal electric submersible pumping (ESP) systems.

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45

Li, Yu Dong, Xiao Wei Wang, and Wei Hu. "Sensorless Control of PMSM Based on Low-Frequency Current Signal Injection in the Direct Axis at Low and Zero Speed." Applied Mechanics and Materials 143-144 (December 2011): 103–7. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.103.

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A novel sensorless control method of permanent magnet synchronous motor (PMSM) based on low frequency (LF) current signal injection is proposed in this paper. A LF sinusoidal current signal is superimposed into the estimated d-axis, and the corresponding voltage response and current response are detected to estimate the rotor speed and the rotor position. This method doesn't rely on the non-ideal features but just the fundamental model of PMSM. As a result, the introduced method can be applied to not only IPMSM, but also to SPMSM. Theoretical analysis and simulation results are carried out. The simulation results indicate that the rotor position and speed can be obtained exactly at low and zero speed. The approach ensures good dynamic and static performances, and can realize accurate position servo control.

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46

Anagreh, Yaser, and Asma Al-Ibbini. "Low cost high performance self-starting sensorless single phase induction motor drive." International Journal of Power Electronics and Drive Systems (IJPEDS) 14, no. 1 (March 1, 2023): 123. http://dx.doi.org/10.11591/ijpeds.v14.i1.pp123-130.

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The present paper is directed to achieve a low-cost high-performance self-starting single phase induction motor (SPIM) drive system. A phase shifted pulse width modulation (PWM) trains feeding the motor will replace the starting and running capacitors. Adaptive sliding mode control, enhance with model reference adaptive control (MRAC), is implemented to achieve high performance sensorless SPIM drive. The obtained results confirm the feasibility of the proposed system in starting and fast tracking the reference speed with nearly zero percentage overshoot and zero steady-state error. Moreover, the proposed SPIM drive system is robust to external load torque disturbances and insensitive to system parameter variations. Extensive simulations have been conducted to confirm the validity of the proposed system.

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Kandoussi, Zineb, Zakaria Boulghasoul, Abdelhadi Elbacha, and Abdelouahed Tajer. "Real time implementation of a new fuzzy-sliding-mode-observer for sensorless IM drive." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 4 (July 3, 2017): 938–58. http://dx.doi.org/10.1108/compel-07-2016-0330.

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Purpose The purpose of this paper is to improve the performance of sensorless vector control of induction motor drives by developing a new sliding mode observer for rotor speed and fluxes estimation from measured stator currents and voltages and estimated stator currents. Design/methodology/approach In the present paper, the discontinuity in the sliding mode observer is smoothed inside a thin boundary layer using fuzzy logic techniques instead of sign function to reduce efficiently the chattering phenomenon that affects the rotor speed. Findings The feasibility of the proposed fuzzy sliding mode observer has been verified by experimentation. The experimental results are obtained with a 1 kW induction motor using a dSPACE system with DS1104 controller board showing clearly the effectiveness of the proposed approach in terms of dynamic performance compared to the classical sliding mode observer. Practical implications The experimental results of the whole control structure highlights that this kind of sensorless induction motor drive can be used for variable speed drive in industrial applications such as oil drilling, electric vehicles, high speed trains (HSTs) and conveyers. Such drives may work properly at zero and low speed in both directions of rotation. Originality/value Both the proposed speed observer and the classical sliding mode observer have been developed and implemented experimentally with other adaptive observers for detailed comparison under different operating conditions, such as parameter variation, no-load/load disturbances and speed variations in different speed operation regions.

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Drevenšek, Dušan, Damir ܞarko, and T. A. Lipo. "A Study of Sensorless Control of Induction Motor at Zero Speed Utilizing High Frequency Voltage Injection." EPE Journal 13, no. 3 (August 2003): 7–11. http://dx.doi.org/10.1080/09398368.2003.11463534.

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Ning, Bowen, Yiheng Zhao, and Shimin Cheng. "An Improved Sensorless Hybrid Control Method of Permanent Magnet Synchronous Motor Based on I/F Startup." Sensors 23, no. 2 (January 5, 2023): 635. http://dx.doi.org/10.3390/s23020635.

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To realize permanent magnet synchronous motor (PMSM) in the full speed domain without speed sensor operation, a hybrid control method combining I/F startup and extended Kalman filter (EKF) is proposed in this paper. This method employs I/F startup to transition at low speed, effectively resolving the issue that the position estimation method based on the back electromotive force (EMF) model fails at zero speed and low speed, and converts to EKF for speed closed-loop vector control at medium and high speed. Moreover, a new feedback regulation mechanism as a solution to the problem of smooth switching between the two methods is proposed. First, the power angle is determined based on the relationship between the given I/F frequency and the estimated EKF position angle. Using the information of power angle, the damping torque of the system is increased to reduce velocity fluctuations during I/F startup. In addition, the balance point of current and position error angle is adjusted using the closed-loop information of position error angle to reduce the torque abrupt change before and after switching, thereby making the motor switching process to EKF speed closed-loop control more stable. Finally, simulation results are used to verify the effectiveness of the proposed scheme.

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Yang, Lei, Z. Q. Zhu, Hong Bin, Zhuya Zhang, and Liming Gong. "Safety Operation Area of Zero-Crossing Detection-Based Sensorless High-Speed BLDC Motor Drives." IEEE Transactions on Industry Applications 56, no. 6 (November 2020): 6456–66. http://dx.doi.org/10.1109/tia.2020.3012594.

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Journal articles on the topic 'Zero speed sensorless control'

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