Volume 16 Number 2
April 2019
Article Contents
Saber Krim, Souflen Gdaim, Abdellatif Mtibaa and Mohamed Faouzi Mimouni. Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor. International Journal of Automation and Computing, vol. 16, no. 2, pp. 226-237, 2019. doi: 10.1007/s11633-016-1017-z
Cite as: Saber Krim, Souflen Gdaim, Abdellatif Mtibaa and Mohamed Faouzi Mimouni. Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor. International Journal of Automation and Computing, vol. 16, no. 2, pp. 226-237, 2019.

# Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor

Author Biography:
• Soufien Gdaim received the electrical engineer degree from National School of Engineering of Sfax, Tunisia in 1998. In 2007, he received the M. Sc. degree in electronics and real-time informatics from Sousse University, and received the Ph. D. degree in electrical engineering in 2013 from ENIM, Tunisia.
His research interests include rapid prototyping and reconfigurable architecture for real-time control applications of electrical system.
E-mail: sgdaim@yahoo.fr

Abdellatif Mtibaa holds a diploma in electrical engineering in 1985 and received the Ph. D. degree in electrical engineering in 2000. He is currently a professor in micro-electronics and hardware design with Electrical Department at the National School of Engineering of Monastir and head of Circuits Systems Reconfigurable ENIM-Group at Electronics and Microelectronics Laboratory. He has authored/coauthored over 150 papers in international journals and conferences. He served on the technical program committees for several international conferences. He also served as a co-organizer of several international conferences.
His research interests include system on programmable chip, high level synthesis, rapid prototyping and reconfigurable architecture for real-time multimedia applications.
E-mail: abdellatif.mtibaa@enim.rnu.tn

Mohamed Faouzi Mimouni received the DEA degree of science from ENSET, Tunisia in 1986. In 1997, he obtained his doctorate degree in electrical engineering from ENSET, Tunisia. He is currently a full professor of electrical engineering with Electrical Department at the National School of Engineering of Monastir. He has authored/coauthored over 100 papers in international journals and conferences. He served on the technical program committees for several international conferences.
His research interests include power electronics, motor drives, solar and wind power generation.
E-mail: mfaouzi.mimouni@enim.rnu.tn

• Corresponding author: Saber Krim received the electrical engineer degree from National School of Engineering of Monastir, Tunisia in 2011. In 2013 he received his M. Sc. degree in electrical engineering from Monastir University, Tunisia. He is currently a Ph. D. candidate with University of Monastir, Tunisia.
His research interests include rapid prototyping and reconfigurable architecture for real-time control applications of electrical system.
E-mail: krimsaber@hotmail.fr (Corresponding author)
ORCID iD: 0000-0002-9294-5698
• Accepted: 2015-10-26
• Published Online: 2017-10-27
• In a conventional direct torque control (CDTC) of the induction motor drive, the electromagnetic torque and the stator flux are characterized by high ripples. In order to reduce the undesired ripples, several methods are used in the literature. Nevertheless, these methods increase the algorithm complexity and dependency on the machine parameters such as the space vector modulation (SVM). The fuzzy logic control method is utilized in this work to decrease these ripples. Moreover, to eliminate the mechanical sensor the extended kalman filter (EKF) is used, in order to reduce the cost of the system and the rate of maintenance. Furthermore, in the domain of controlling the real-time induction motor drives, two principal digital devices are used such as the hardware (FPGA) and the digital signal processing (DSP). The latter is a software solution featured by a sequential processing that increases the execution time. However, the FPGA is featured by a high processing speed because of its parallel processing. Therefore, using the FPGA it is possible to implement complex algorithms with low execution time and to enhance the control bandwidth. The large bandwidth is the key issue to increase the system performances. This paper presents the interest of utilizing the FPGAs to implement complex control algorithms of electrical systems in real time. The suggested sensorless direct torque control using the fuzzy logic (DTFC) of an induction motor is successfully designed and implemented on an FPGA Virtex 5 using xilinx system generator. The simulation and implementation results show proposed approach's performances in terms of ripples, stator current harmonic waves, execution time, and short design time.
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• 1.

沈阳化工大学材料科学与工程学院 沈阳 110142

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## Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor

• ###### Corresponding author:Saber Krim received the electrical engineer degree from National School of Engineering of Monastir, Tunisia in 2011. In 2013 he received his M. Sc. degree in electrical engineering from Monastir University, Tunisia. He is currently a Ph. D. candidate with University of Monastir, Tunisia. His research interests include rapid prototyping and reconfigurable architecture for real-time control applications of electrical system. E-mail: krimsaber@hotmail.fr (Corresponding author) ORCID iD: 0000-0002-9294-5698

Abstract: In a conventional direct torque control (CDTC) of the induction motor drive, the electromagnetic torque and the stator flux are characterized by high ripples. In order to reduce the undesired ripples, several methods are used in the literature. Nevertheless, these methods increase the algorithm complexity and dependency on the machine parameters such as the space vector modulation (SVM). The fuzzy logic control method is utilized in this work to decrease these ripples. Moreover, to eliminate the mechanical sensor the extended kalman filter (EKF) is used, in order to reduce the cost of the system and the rate of maintenance. Furthermore, in the domain of controlling the real-time induction motor drives, two principal digital devices are used such as the hardware (FPGA) and the digital signal processing (DSP). The latter is a software solution featured by a sequential processing that increases the execution time. However, the FPGA is featured by a high processing speed because of its parallel processing. Therefore, using the FPGA it is possible to implement complex algorithms with low execution time and to enhance the control bandwidth. The large bandwidth is the key issue to increase the system performances. This paper presents the interest of utilizing the FPGAs to implement complex control algorithms of electrical systems in real time. The suggested sensorless direct torque control using the fuzzy logic (DTFC) of an induction motor is successfully designed and implemented on an FPGA Virtex 5 using xilinx system generator. The simulation and implementation results show proposed approach's performances in terms of ripples, stator current harmonic waves, execution time, and short design time.

Saber Krim, Souflen Gdaim, Abdellatif Mtibaa and Mohamed Faouzi Mimouni. Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor. International Journal of Automation and Computing, vol. 16, no. 2, pp. 226-237, 2019. doi: 10.1007/s11633-016-1017-z
 Citation: Saber Krim, Souflen Gdaim, Abdellatif Mtibaa and Mohamed Faouzi Mimouni. Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor. International Journal of Automation and Computing, vol. 16, no. 2, pp. 226-237, 2019.
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