Utilization of an ANFIS-STSM Algorithm to Minimize Total Harmonic Distortion

Habib BENBOUHENNI

Abstract


Recently applications of second order super-twisting sliding mode (STSM) algorithm become more convenient in control of AC machines. The conventional technique, the capability of creating a high value of current or voltage. On the other hand, the STSMC algorithm popular in more applications. There are several types of intelligent techniques such as neural networks (NNs), adaptive network-based fuzzy inference system (ANFIS) and fuzzy logic controller (FLC). The ANFIS controller is very popular than other controllers because its control is very simple in comparison with others. The new technique of STSMC is utilized to reduce the harmonic distortion in direct torque control (DTC). Cat ANFIS-STSM algorithm is introduced as a new STSM algorithm to minimize harmonic distortion and electromagnetic torque ripples. The simulation results have been carried out using Matlab/Simulink software.


Keywords


ANN, FLC, ANFIS, STSM, DFIG, THD, DTC, ANFIS-STSM.

Full Text:

PDF

References


H. Benbouhenni, “ Fuzzy second order sliding mode controller based on three-level fuzzy space vector modulation of a DFIG for wind energy conversion systems, †Majlesi Journal of Mechatronic Systems, Vol. 7, No. 3, pp. 17-26, 2018.

H. Benbouhenni, “ Neuro-sconde order sliding mode field oriented control for DFIG based wind turbine, †International Journal of Smart Grid, Vol. 2, No. 4, pp. 209-217, 2018.

H. Benbouhenni, “ Comparative study between direct vector control and fuzzy sliding mode controller in three-level space vector modulation inverter of reactive and active power command of DFIG-based wind turbine systems,†International Journal of Smart Grid, Vol. 2, No. 4, pp. 188-196, 2018.

Z. Boudjema, A. Meroufel, A. Amari, “ Robust control of a doubly fed induction generator (DFIG) fed by a direct AC-AC converter,†Przegląd Elektrotechniczny, Vol. 11, pp. 213-221, 2012.

Y. Bekakra, D. Ben Attous, “ Comparison study between SVM and PWM inverter in sliding mode control of active and reactive power control of a DFIG for variable speed wind energy,†International Journal of Renewable Energy Research, Vol. 2, No. 3, pp. 471-476, 2012.

A. Yahdou, B. Hemici, Z. Boudjema, “ Second order sliding mode control of a dual-rotor wind turbine system by employing a matrix converter,†Journal of Electrical Engineering, Vol. 16, No. 4, pp. 1-11, 2016.

N. Khemiri, A. Khedher, M. F. Mimouni, “ Wind energy conversion system using DFIG controlled by backstepping and sliding mode strategies,†International Journal of Renewable Energy Research, Vol. 2, No. 3, pp. 422-435, 2012.

H. Benbouhenni, “ Application of five-level NPC inverter in DPC-ANN of doubly fed induction generator for wind power generation systems,†International Journal of Smart Grid, Vol. 3, No. 3, pp. 128-137, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Sensorless twelve sectors implementation of neural DPC controlled DFIG for reactive and active powers ripples reduction,†Majlesi Journal of Energy Management, Vol. 7, No. 2, 2018.

H. Benbouhenni, “ Torque ripple reduction of DTC DFIG drive using neural PI regulators,†Majlesi Journal of Energy Management, Vol. 8, No. 2, pp. 21-26, 2019.

H. Benbouhenni, “Sliding mode with neural network regulateur for DFIG using two-level NPWM strategy,†Iranian Journal of Electrical & Electronic Engineering, Vol. 15, No. 3, pp. 411-419, 2019.

H. Benbouhenni, “ Comparative study between PWM and SVPWM technique for a DFIG-based wind turbine system controlled by fuzzy sliding mode,†Majlesi Journal of Energy Management, Vol. 7, No. 4, 2018.

H. Benbouhenni, “ANFIS-sliding mode control of a DFIG supplied by a two-level SVPWM technique for wind energy conversion system,†International Journal of Applied Power Engineering (IJAPE), Vol. 8, No. 1, pp. 36-47, 2020.

H. Benbouhenni, Z. Boudjema, A. Belaidi, “Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system,†Iranian Journal of Electrical & Electronic Engineering, Vol. 14, No. 4, pp.362-373, 2018.

H. Benbouhenni, “Fuzzy second order sliding mode controller based on three-level fuzzy space vector modulation of a DFIG for wind energy conversion systems,†Majlesi Journal of Mechatronic Systems, Vol. 7, No. 3, pp.17-26, 2018.

H. Benbouhenni, “Second order sliding mode with ANFIS controllers for DFIG using seven-level NSVPWM technique,†Majlesi Journal of Energy Management, Vol. 8, No. 1, pp. 29-39, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Indirect vector control of a DFIG supplied by a two-level FSVM inverter for wind turbine system,†Majlesi Journal of Electrical Engineering, Vol. 13, No. 1, 2019.

Z. Boudjema, A. Meroufel, E. Bounadja, Y. Djerriri, “ Nonlinear control of a doubly fed induction generator supplied by a matrix converter for wind energy conversion systems,†Journal of Electrical Engineering, Vol. 13, No. 4, pp. 269-276, 2013.

H. Benbouhenni, “ Neuro-sconde order sliding mode field oriented control for DFIG based wind turbine,†International Journal of Smart Grid, Vol. 2, No. 4, pp. 209-217, 2018.

H. Benbouhenni, “ A novel switching tables of twelve sectors DTC for induction machine drive using artificial neural networks,†Automation, Control and Intelligent Systems, Vol. 7, No. 1, pp. 1-8, 2019.

Z. Boudjema, R. Taleb, Y. Djerriri, A. Yahdou, “ A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system, †Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 25, pp. 965-975, 2017.

Z. Boudjema, A. Meroufel, Y. Djerriri, E. Bounadja, “ Fuzzy sliding mode control of a doubly fed induction generator for wind energy conversion, †Carpathian Journal of Electronic and Computer Engineering, Vol. 6, No. 2, pp. 7-14, 2013.

H. Benbouhenni, Z. Boudjema, “Two-level DTC based on ANN controller of DFIG using 7-level hysteresis command to reduce flux ripple comparing with traditional command, †IEEE Xplore, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Higher control scheme using neural second order sliding mode and ANFIS-SVM strategy for a DFIG-based wind turbine,†International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, Vol. 8, No. 2, pp. 17-28, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, “Direct vector command based on three-level NSVM of a doubly fed induction generator for wind energy conversion, †IEEE Xplore, 2019.

H. Benbouhenni, “ Comparison study between SVPWM and FSVPWM strategy in fuzzy second order sliding mode control of a DFIG-based wind turbine,†Carpathian Journal of Electronic and Computer Engineering, Vol. 12, No. 2, pp. 1-10, 2019.

H. Benbouhenni, “A direct power control of the doubly fed induction generator based on the three-level NSVPWM technique,†International Journal of Smart Grid, Vol. 3, No. 4, 2019.

H. Benbouhenni, “ Stator current and rotor flux ripples reduction of DTC DFIG drive using FSTSMC algorithm,†International Journal of Smart Grid, Vol. 3, No. 4, 2019.

S. Tayebi-Haghighi, F. Piltan, J. M. Kim, “Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators,†Robotics, Vol. 7, No. 1, 2018.

J. Listwan, “ Application of Super-Twisting Sliding Mode Controllers in Direct Field-Oriented Control System of Six-Phase Induction Motor: Experimental Studies,†Power Electronics and Drives, Vol. 38, No. 1, 2018.

I. Yaichi, A. Semmah, P. Wira, Y. Djeriri, “Super-twisting sliding mode control of a doubly-fed induction generator based on the svm strategy, “ Periodica Polytechnica Electrical Engineering and Computer Science, Vol. 63, No. 3, pp. 178-190, 2019.

V. K. Arun Shankar, S. Umashankar, P. Sanjeevikumar, S. Paramasivam, “ Adaptive neuro-inference system (ANFIS) based direct torque control of PMSM driven centrifugal pump,†International Journal of Renewable Energy Research, Vol. 7, No. 3, pp.1437-1477, 2017.

H. Benbouhenni, “A comparative study between NSMC and NSOSMC strategy for a DFIG integrated into wind energy system,†Carpathian Journal of Electronic and Computer Engineering, Vol. 12, No. 1, pp. 1-8, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Intelligent SVM technique of a multi-level inverter for a DFIG-based wind turbine system,†Int. J. Digital Signals and Smart Systems, Vol. 3, Nos. 1/2/3, pp. 4-19, 2019.




DOI (PDF): https://doi.org/10.20508/ijsmartgrid.v4i2.98.g82

Refbacks

  • There are currently no refbacks.


www.ijsmartgrid.com; www.ijsmartgrid.org

ilhcol@gmail.com; ijsmartgrid@nisantasi.edu.tr

Online ISSN: 2602-439X

Publisher: ilhami COLAK (istanbul Nisantasi Univ)

Cited in Google Scholar and CrossRef