Conferences related to Sensorless control

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2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Sensorless control

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Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Energy Conversion, IEEE Transaction on

Research, development, design, application, construction, installation, and operation of electric power generating facilities (along with their conventional, nuclear, or renewable sources) for the safe, reliable, and economic generation of electrical energy for general industrial, commercial, public, and domestic consumption, and electromechanical energy conversion for the use of electrical energy


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Industry Applications Magazine, IEEE

This magazine publishes articles concerning technical subjects and professional activities that are within the scope of IAS and are of interest to society members. The information includes but is not limited to articles, product reviews, book reviews, new standards, education information, announcements of conferences, workshops, new publications, committee meetings and reports of IAS activities.


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Most published Xplore authors for Sensorless control

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Xplore Articles related to Sensorless control

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Online identification method of static & dynamic inductance of IPMSM for fine position sensorless control

2014 IEEE 5th International Symposium on Sensorless Control for Electrical Drives, 2014

When position-speed sensorless control is used, the estimation error of the position often becomes large because of inductance value fluctuation due to the current. Therefore, this paper proposes a online parameter identification method to identify the static inductance and the dynamic inductance and magnet flux by using fixed trace algorithm. In the proposed method, the harmonic is superimposed into the ...


A new sensorless control method for brushless permanent magnet DC motors

2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE), 2013

A novel sensorless control method for brushless permanent magnet DC motors is proposed in this paper. With this method, the usually used terminal voltage detection circuits are not required, so it can be carried out in general- purpose inverters without any change of the hardware. The current commutation points are obtained by reconstructing the line back Electromotive Force (EMF). The ...


Sensorless Control of Interior Permanent Magnet Synchronous Machines Based on the Combination of the Modified FPE Method and SMO

2018 IEEE 9th International Symposium on Sensorless Control for Electrical Drives (SLED), 2018

This paper presents a sensorless control method for an IPMSM, which are based on the combination of the modified Fundamental Excitation PWM (FPE) method and the Sliding Mode Observer (SMO). At low speeds the current derivatives at the first active-voltage vector are measured to estimate rotor speed, position and machine inductances, while at medium and high speeds the SMO is ...


Sensorless Control of Linear Flux-Switching Permanent Magnet Motor Based on Improved MRAS

2018 IEEE 9th International Symposium on Sensorless Control for Electrical Drives (SLED), 2018

The sensorless control system of linear flux-switching permanent magnet (LFSPM) motor based on model reference adaptive system (MRAS) has the advantages of simple structure and good stability. However, it behaves poorly at low speed regions. In view of the problem of the conventional MRAS, this paper presents an improved MRAS based on artificial neural network (ANN). In this strategy, a ...


MRAS based real-time speed-sensorless control of induction motor with optimized fuzzy-PI controller

2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE), 2013

In this paper, rotor flux-oriented model reference adaptive system (RF-MRAS) based estimators are designed to obtain flux and speed estimations for speed- sensorless control of induction motors (IMs). The proposed RF-MRAS in this work replaces Conventional PI controller (CPI) in adaptation mechanism of RF- MRAS with fuzzy-PI (FPI) controller in order to improve conventional RF-MRAS. Additionally, the gains of both ...


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Educational Resources on Sensorless control

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IEEE-USA E-Books

  • Online identification method of static & dynamic inductance of IPMSM for fine position sensorless control

    When position-speed sensorless control is used, the estimation error of the position often becomes large because of inductance value fluctuation due to the current. Therefore, this paper proposes a online parameter identification method to identify the static inductance and the dynamic inductance and magnet flux by using fixed trace algorithm. In the proposed method, the harmonic is superimposed into the motor voltage reference or motor current reference. As the result, the estimation error of the position is reduced by the proposed method because the identified inductance is reflected in the position-speed sensorless control. The validity of proposed method is confirmed by the numerical simulation results and the experiment results in this paper.

  • A new sensorless control method for brushless permanent magnet DC motors

    A novel sensorless control method for brushless permanent magnet DC motors is proposed in this paper. With this method, the usually used terminal voltage detection circuits are not required, so it can be carried out in general- purpose inverters without any change of the hardware. The current commutation points are obtained by reconstructing the line back Electromotive Force (EMF). The rotor speed is estimated from the rotor flux-linkage. Experimental results are also presented to verify the effectiveness of this proposed method.

  • Sensorless Control of Interior Permanent Magnet Synchronous Machines Based on the Combination of the Modified FPE Method and SMO

    This paper presents a sensorless control method for an IPMSM, which are based on the combination of the modified Fundamental Excitation PWM (FPE) method and the Sliding Mode Observer (SMO). At low speeds the current derivatives at the first active-voltage vector are measured to estimate rotor speed, position and machine inductances, while at medium and high speeds the SMO is employed for sensorless control. The estimated Ldand Lqat low speeds are stored in a look up table and utilized for enhancing the performance of the SMO. The experimental studies have been conducted to verify the improvement of the estimation accuracy and the reduction of the current distortion over a full speed range from zero to rated speed of the proposed hybrid sensorless control method.

  • Sensorless Control of Linear Flux-Switching Permanent Magnet Motor Based on Improved MRAS

    The sensorless control system of linear flux-switching permanent magnet (LFSPM) motor based on model reference adaptive system (MRAS) has the advantages of simple structure and good stability. However, it behaves poorly at low speed regions. In view of the problem of the conventional MRAS, this paper presents an improved MRAS based on artificial neural network (ANN). In this strategy, a two-layer ANN is selected as the adjustable model and the adaptive law with proportional-integral (PI) controller is replaced by the gradient descent algorithm. Besides, a sliding mode controller is designed for velocity loop to improve the rapidity and robustness of the system. Experimental results show that the proposed method has good dynamic performance and smaller speed estimation error at low speed regions.

  • MRAS based real-time speed-sensorless control of induction motor with optimized fuzzy-PI controller

    In this paper, rotor flux-oriented model reference adaptive system (RF-MRAS) based estimators are designed to obtain flux and speed estimations for speed- sensorless control of induction motors (IMs). The proposed RF-MRAS in this work replaces Conventional PI controller (CPI) in adaptation mechanism of RF- MRAS with fuzzy-PI (FPI) controller in order to improve conventional RF-MRAS. Additionally, the gains of both FPI and CPI controllers are optimized by offline via differential evolution algorithm (DEA) to make fair comparisons and without using time-consuming process of trial-and-error method.

  • High efficiency universal position sensorless control for various motors

    This paper proposes a new position sensorless control for any motors. The universal position sensorless scheme consists of instantaneous power control which takes specific control axis on reactive and mechanical power, voltage correction and special maximum torque per ampere (MTPA). It realizes higher efficiency operation along with robustness against motor parameter variation caused by magnetic saturation. The effectiveness of the method is verified by some experimental results.

  • Fully position sensorless control of a magnetically levitated Reluctance Synchronous Machine by three phase active magnetic bearings

    This paper discusses a fully position senslorless controlled magnetically levitated drive. Sensorless means, that no external position sensors are used and the position is obtained from electrical quantities of the actuator itself. In this work a Reluctance Synchronous Machine (RSM) provides the torque of the drive. For the control an angular position sensor is avoided by using sensorless methods instead. Additionally the radial active magnetic bearings (AMBs) of the drive providing magnetic levitation are controlled without any position sensor. Here, the radial rotor displacement is evaluated by sensorless methods too. Thus, the complete prototype drive works fully without angular and radial position sensors. Finally, the drive system architecture gets reduced to an absolute minimum of components, because both components, the RSM and the AMBs, cover already two main functions. Each combines the functionality of an actuator as well as a sensor within one module. Further, the AMBs and the RSM have a three phase structure and allow the usage of the same three phase voltage source inverters. By this overall system simplification a significant hardware cost reduction is gained which offers new possible applications for high speed drives. In this work the basic principles of the sensorless control methods applied to the RSM and the AMBs are explained, the prototype setup is described and measurement results are presented.

  • Comparison of a linear and a non-linear state observer for sensorless control of PM machines

    This paper presents two different state observers for position-sensorless control of permanent magnet synchronous machines (PMSMs). Both methods improve the angular rotor position and determine the machine speed of a back electromotive force (back-EMF) model [1]. The Arctan observer calculates the electrical rotor position from real and imaginary flux-linkage components with a common arctangent function. A novel observer with non-linear feedback coefficients, called Sin/Cos observer, omits this calculation and improves the quality of the position information. Dynamic measurements on an outer rotor traction machine [2] verify the characteristics of the presented observer techniques.

  • An experimental assessment of a stator current MRAS based on neural networks for sensorless control of induction machines

    In this paper an experimental evaluation of a novel Model Reference Adaptive System (MRAS) speed observer for induction motor drives based on stator currents is presented. In this scheme the measured stator currents are used as the reference model for the MRAS observer to avoid the use of a pure integrator. A two-layer Neural Network (NN) stator current observer is used as the adaptive model which requires the rotor flux information that can be obtained from the current model. Speed estimation performance of the new MRAS scheme is studied and compared with the classical rotor flux MRAS when applied to an indirect vector control induction motor drive. Experimental results are shown for the two schemes in the low speed region of operation including tests for the regenerating mode. These results complement the simulation results presented for the proposed scheme in a recent work.

  • Sensorless Control of Induction Motor Drives Using Additional Windings on the Stator

    Induction motors excel other types of electrical motors in various applications with their advantages such as low cost, ruggedness, etc. The vector control method which is widely preferred for induction motor control requires speed and position measurement fed back from the motor. Speed sensors called encoders which are conventionally employed for this measurement are costly and space consuming. A method of speed and position estimation using a few additional sensing windings on the stator of the induction motor is discussed in this paper. The effects of rotor slot harmonics and back-EMF are exploited in this method. Speed and position information can be extracted from externally injected signals and from the induced voltages in the additional windings at different speeds and standstill. The speed and position estimation algorithms are discussed. Simulations are carried out and measurements on a real motor are performed. It is shown that the current and voltage signals in the additional windings contain speed and position information that could be extracted and fed to the controller.



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