Integration of HFSI and extended-EMF based techniques for PMSM sensorless control in HEV/EV applications

Lara, Jorge; Chandra, Ambrish; Xu, Jian Ying

doi:10.1109/iecon.2012.6389305

Cited by 14 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Note the similarity with the equations obtained from the oscillating high frequency signal injection technique [5]. For ease of reading, they are presented in (19):…”

Section: B Sfsi Algorithm In Rotor Coordinatesmentioning

confidence: 99%

Performance study of switching frequency signal injection algorithm in PMSMs for EV propulsion: A comparison in stator and rotor coordinates

Lara

Chandra

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

View full text Add to dashboard Cite

This paper studies the performance of the switching frequency signal injection (SFSI) algorithm to estimate the rotor position in permanent magnets synchronous machines (PMSM) intended for electric vehicle (EV) propulsion. A simple and effective demodulation algorithm is proposed to carry out this estimation by using only current measurements. As opposed to recent literature on the subject, the proposed algorithm is not based on the inductance matrix from the high-frequency impedance model of the PMSM, therefore neither voltage sensors nor voltage reconstructions from the inverter switching states are necessary, thus reducing the system complexity. The analytical expressions in both stationary (αβ) and rotating (dq) reference frames are consistently derived. A performance comparison of sensorless control of PMSM in stator and rotor coordinates is carried out considering the dynamics model of a 1,200 Kg mass car. The simulation results obtained through MATLAB ® -SimPowerSystems™ demonstrate the effectiveness of the proposed demodulation algorithm and its superiority in the rotating frame.

show abstract

“…Note the similarity with the equations obtained from the oscillating high frequency signal injection technique [5]. For ease of reading, they are presented in (19):…”

Section: B Sfsi Algorithm In Rotor Coordinatesmentioning

confidence: 99%

Performance study of switching frequency signal injection algorithm in PMSMs for EV propulsion: A comparison in stator and rotor coordinates

Lara

Chandra

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

View full text Add to dashboard Cite

show abstract

“…However, the injected signal will yield high-frequency noise, lower efficiency and the back-EMF harmonics in IPMSM may cause the estimated rotor position error; (iii) observer based methods [36,43,44]: these include adaptive observers, sliding mode observers, Kalman filter observers and reduced-order observers, etc. ; (iv) back-EMF methods [45][46][47]: these methods are obviously not suitable for EV due to its frequent accelerating/decelerating operations; and (v) hybrid methods [48,49].…”

Section: Introductionmentioning

confidence: 99%

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

El-Shahat¹,

Ruba²

2020

View full text Add to dashboard Cite

He is a Founder and Director of Innovative Power Electronics and Nano-Grids Research Lab (IPENG). His research focuses on neural networks; electric machines; electric vehicles; smart grid systems; power electronics; power systems; energy storage and optimization. He has received several awards, recognitions, and honors due to his work. He is a Senior Member of IEEE, IRED, and a member of 22 professional organizations. He is Editor-in-Chief of the International Journal of Convergence Computing and a reviewer for 60 journals and conferences. He has authored 60 journal papers and 65 refereed conferences' papers plus 8 books and 5 book chapters with 100 other publications.Dr Mircea Ruba is currently a lecturer with the Technical University of Cluj-Napoca (TUCN), Department of Electrical Machines and Drives and is a member of CAREESD, being in charge of the Real-Time System Modelling and Testing Laboratory (RTsym-Lab). His scientific interests are focused on electric vehicle (EV) propulsion drives and on their real-time FPGA based simulation and Hardware in the Loop (HiL) testing. He has been a researcher in over 20 projects and in most he worked to develop electrical motors, power inverters, controllers and battery supply units for EVs. His skills in designing, simulation and controlling propulsion motors for EVs have been proved in a large number of publications, creating real-time (RT) FPGA based simulators for their realistic analysis and control. Investigation of LiIon battery identification, simulation and testing was also a consistent research direction for Dr Ruba including patenting a novel, ultra-fast and efficient BMS. He invested several years and his PhD thesis in the study of fault tolerant machines, converters, and controllers outcome in many publications patenting a novel fault detection and compensation strategy and a modular fault tolerant motor design. His patents were awarded in 13 international exhibitions, his publications were cited in hundreds of papers, especially in 97 ISI journals and since 2018 he was invited to be an editor for "Devices and machines applied for electric mobility solutions" published by IntechOpen. He has published over 80 conference papers, 6 ISI journal papers, 4 books, and 6 patents (3 still pending).

show abstract

“…In back-EMF-based strategies, the position is estimated by tracking the back-EMF of the motor [6][7][8]. Because these two approaches have complementary speed range limitations, two different sensorless control algorithms are generally combined to achieve a full speed range operation [9][10][11]. Many studies have reported satisfactory motor drive performance with sensorless control [2,3,9,11,12].…”

Section: Introductionmentioning

confidence: 99%

A Restarting Strategy for Back-EMF-Based Sensorless Permanent Magnet Synchronous Machine Drive

You

Yang

2019

Energies

View full text Add to dashboard Cite

Safely starting a spinning position sensorless controlled permanent magnet synchronous machine is difficult because the current controller does not include information regarding the motor position and speed for suppressing the back-electromotive force (EMF)-induced current. This paper presents a restarting strategy for back-EMF-based sensorless drives. In the proposed strategy, the existing back-EMF and position estimator are used and no additional algorithm or specific voltage vector injection is required. During the restarting period, the current controller is set to a particular state so that the back-EMF estimator can rapidly estimate motor voltage without using rotor position and speed. Then, this voltage is used to decouple the back-EMF of the motor in the current controller in order to suppress the induced current. After the back-EMF is decoupled from the current controller, sensorless control can be restored with the estimated position and speed. The experimental results indicated that the induced current can be suppressed within four to five sampling periods regardless of the spinning conditions. Because of the considerably short time delay, the motor drive can restart safely from various speeds and positions without causing overcurrent fault.

show abstract

Integration of HFSI and extended-EMF based techniques for PMSM sensorless control in HEV/EV applications

Cited by 14 publications

References 16 publications

Performance study of switching frequency signal injection algorithm in PMSMs for EV propulsion: A comparison in stator and rotor coordinates

Performance study of switching frequency signal injection algorithm in PMSMs for EV propulsion: A comparison in stator and rotor coordinates

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

A Restarting Strategy for Back-EMF-Based Sensorless Permanent Magnet Synchronous Machine Drive

Contact Info

Product

Resources

About