Open Access Open Access  Restricted Access Subscription or Fee Access

New Dynamic Fuzzy High Gain Observer Combined with a Nonlinear Control Approach for Performance Enhancement in WECS Based on DFIG: Design and DSP Implementation


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/ireaco.v14i5.20669

Abstract


The main purpose of this article is to develop and to implement on a TMS320F28335 Digital Signal Processor (DSP) a new robust nonlinear observer combined with a backstepping approach for wind energy conversion systems using grid-connected Doubly Fed Induction Generator (DFIG). The principal objective of this work is to synthesize a robust non-linear observer associated with a non-linear control law to realize the wind system control, based on DFIG, with the use of sensor minima. The backstepping approach is being implemented in order to improve setpoint tracking, ensure stability, robustness to any variations in parameters and disturbance rejection. A robust nonlinear observer based on a high gain dynamic fuzzy observer (DFHGO) is designed to solve the major problem of some observers’ approach especially the destabilizing effect of the peak phenomenon. To validate the proposed observer, a co-simulation platform (MATLAB/Simulink and DSP) is elaborated. The simulation results of the synthesis observers as well as its DSP implementation in the loop show that this enhanced combination increases the above-mentioned performance.
Copyright © 2021 Praise Worthy Prize - All rights reserved.

Keywords


DFIG; WECS; Digital Signal Processor; Hardware in the Loop; Backstepping Approach; Nonlinear Observer; Lyapunov Stability Theory; Dynamic Fuzzy High Gain Observer

Full Text:

PDF


References


S. Heier, Grid Integration of Wind Energy. Chichester, UK: John Wiley & Sons, Ltd, 2014.
https://doi.org/10.1002/9781118703274

J. Twidell, Renewable Energy Resources. Routledge, 2015.
https://doi.org/10.4324/9781315766416

Northern Power Wind Turbines | Earthmill | Sustainable Energy Specialists.
https://www.earthmill.co.uk/wind-turbines-for-sale/nps-wind-turbines/

T. Burton, N. Jenkins, D. Sharpe, and E. Bossanyi, Wind Energy Handbook. Chichester, UK: John Wiley & Sons, Ltd, 2011.
https://doi.org/10.1002/9781119992714

E. Hau, Wind turbines: Fundamentals, technologies, application, economics. Springer Berlin Heidelberg, 2006.

B. Rached, M. Elharoussi, and E. Abdelmounim, Control Strategies for DFIG based on Wind Energy Conversion System using RST and Fuzzy Logic Controllers, in Proceedings of 2019 International Conference of Computer Science and Renewable Energies, ICCSRE 2019, 2019.
https://doi.org/10.1109/ICCSRE.2019.8807524

Chaicharoenaudomrung, K., Areerak, K., Areerak, K., Thumthae, C., Maximum Power Point Tracking Control Using P&O Method for Stand-Alone Real Wind Turbine System, (2018) International Review of Electrical Engineering (IREE), 13 (1), pp. 37-44.
https://doi.org/10.15866/iree.v13i1.14456

J. Chiasson, Nonlinear controllers for an induction motor, Control Eng. Pract., vol. 4, no. 7, pp. 977-990, 1996.
https://doi.org/10.1016/0967-0661(96)00097-4

Radouane, O., Rachidi, M., Adaptive Input-Output Feedback Linearization Control of Doubly-Fed Induction Machine in Wind Power Generation, (2019) International Review of Automatic Control (IREACO), 12 (1), pp. 11-20.
https://doi.org/10.15866/ireaco.v12i1.15619

B. Rached, M. Elharoussi, and E. Abdelmounim, Fuzzy Logic Control for Wind Energy Conversion System based on DFIG, in 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1-6, 2019.
https://doi.org/10.1109/WITS.2019.8723722

B. Rached, M. Elharoussi, and E. Abdelmounim, Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator, Int. J. Electr. Comput. Eng., vol. 10, no. 5, pp. 4770-4781, Oct. 2020.
https://doi.org/10.11591/ijece.v10i5.pp4770-4781

M. K. Hong and H. H. Lee, Adaptive maximum power point tracking algorithm for variable speed wind power systems, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6328 LNCS, no. PART 1, pp. 380-388, 2010.
https://doi.org/10.1007/978-3-642-15621-2_42

A. Levant, Principles of 2-sliding mode design, Automatica, vol. 43, no. 4, pp. 576-586, Apr. 2007.
https://doi.org/10.1016/j.automatica.2006.10.008

B. Beltran and al., A combined high gain observer and high-order sliding mode controller for a DFIG-based wind turbine, the IEEE ENERGYCON'10, Manama (Bahraïn), pp. 322-327, December 2010.
https://doi.org/10.1109/ENERGYCON.2010.5771699

Rached, B., Elharoussi, M., Abdelmounim, E., DSP in the Loop Implementation of Sliding Mode and Super Twisting Sliding Mode Controllers Combined with an Extended Kalman Observer for Wind Energy System Involving a DFIG, (2020) International Journal on Energy Conversion (IRECON), 8 (1), pp. 26-37.
https://doi.org/10.15866/irecon.v8i1.18432

M. El Azzaoui et al., Backstepping control of the doubly fed induction generator using Xilinx System Generator for implementation on FPGA, in 2016 5th International Conference on Multimedia Computing and Systems (ICMCS), pp. 599-604, 2016.
https://doi.org/10.1109/ICMCS.2016.7905592

El Malah, M., Ba-razzouk, A., Abdelmounim, E., Madark, M., Robust Nonlinear Sensorless MPPT Control with Unity Power Factor for Grid Connected DFIG Wind Turbines, (2018) International Review on Modelling and Simulations (IREMOS), 11 (5), pp. 313-324.
https://doi.org/10.15866/iremos.v11i5.15018

Hassan, M., Humaidi, A., Hamza, M., On the Design of Backstepping Controller for Acrobot System Based on Adaptive Observer, (2020) International Review of Electrical Engineering (IREE), 15 (4), pp. 328-335.
https://doi.org/10.15866/iree.v15i4.17827

F. Alonge et al., Extended complex Kalman filter for sensorless control of an induction motor, Control Eng. Pract., vol. 27, no. 1, pp. 1-10, 2014.
https://doi.org/10.1016/j.conengprac.2014.02.007

Madark, M., Ba-Razzouk, A., Abdelmounim, E., El Malah, M., An Effective Method for Rotor Time-Constant and Load Torque Estimation for High Performance Induction Motor Vector Control, (2017) International Review on Modelling and Simulations (IREMOS), 10 (6), pp. 410-422.
https://doi.org/10.15866/iremos.v10i6.12624

F. Chen and M. W. Dunnigan, Comparative study of a sliding-mode observer and Kalman filters for full state estimation in an induction machine, IEEE Proc. Electr. Power Appl., vol. 149, no. 1, pp. 53-64, Jan. 2002.
https://doi.org/10.1049/ip-epa:20020018

B. Rached and al., DSP in the loop Implementation of the Control of a DFIG Used in Wind Power System, in 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2020, 2020.
https://doi.org/10.1109/IRASET48871.2020.9092165

Qasim, M., Velkin, V., Maximum Power Point Tracking Techniques for Micro-Grid Hybrid Wind and Solar Energy Systems - a Review, (2020) International Journal on Energy Conversion (IRECON), 8 (6), pp. 223-234.
https://doi.org/10.15866/irecon.v8i6.19502

Srivastava, A., Bajpai, R., An Efficient Maximum Power Extraction Algorithm for Wind Energy Conversion System Using Model Predictive Control, (2019) International Journal on Energy Conversion (IRECON), 7 (3), pp. 93-107.
https://doi.org/10.15866/irecon.v7i3.17403

I. Munteanu, Optimal control of wind energy systems : towards a global approach. Springer, 2008.

P. M. M. Bongers, Modeling and Identification of Flexible Wind Turbines and A Factorizational Approach to Robust Control Design, , phd,1994.

B. Beltran and al., Second-Order Sliding Mode Control of a Doubly Fed Induction Generator Driven Wind Turbine, IEEE Trans. Energy Convers., vol. 27, no. 2, pp. 261-269, Jun. 2012.
https://doi.org/10.1109/TEC.2011.2181515

Adekanle, O., Guisser, M., Abdelmounim, E., Aboulfatah, M., Nonlinear Controller with Rotor Crowbar and DC-Chopper Fault Ride Through Technique for Grid-Connected Doubly-Fed Induction Generator, (2018) International Review of Automatic Control (IREACO), 11 (6), pp. 281-292.
https://doi.org/10.15866/ireaco.v11i6.13496

C. Hamon, K. Elkington and M. Ghandhari, Doubly-fed induction generator modeling and control in DigSilent PowerFactory, 2010 International Conference on Power System Technology, 2010, pp. 1-7.
https://doi.org/10.1109/POWERCON.2010.5666596

S. Khojet El Khil et al, Power distribution law in a Doubly Fed Induction Machine, Math. Comput. Simul., vol. 71, no. 4-6, pp. 360-368, Jun. 2006.
https://doi.org/10.1016/j.matcom.2006.02.019

M. Oueder, M. Farza, R. Ben Abdennour, and M. M'Saad, A dynamic high gain observer for a class of MIMO non triangular systems, in IFAC Proceedings Volumes (IFAC-PapersOnline), vol. 44, no. 1 PART 1, pp. 686-691, 2011.
https://doi.org/10.3182/20110828-6-IT-1002.01070

Oueder and al., A high gain observer with updated gain for a class of MIMO non-triangular systems, Syst. Control Lett., vol. 61, no. 2, pp. 298-308, Feb. 2012.
https://doi.org/10.1016/j.sysconle.2011.11.009

M. Farza et al., High gain observer for a class of non-triangular systems, Syst. Control Lett., vol. 60, no. 1, pp. 27-35, Jan. 2011.
https://doi.org/10.1016/j.sysconle.2010.09.009

Taleb, M., Cherkaoui, M., Optimal Control of Active and Reactive Powers in Wind Energy Conversion Systems Using Particle Swarm Optimization and Adaptive Sliding Mode Control, (2018) International Review of Automatic Control (IREACO), 11 (5), pp. 248-254.
https://doi.org/10.15866/ireaco.v11i5.15098

B. Rached, M. Elharoussi, E. Abdelmounim, and M. Bensaid, A hybrid fuzzy - Sliding mode control of a grid connected dfig based wind power system, in 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science, ICECOCS 2020, 2020.
https://doi.org/10.1109/ICECOCS50124.2020.9314537

Rached, B., Elharoussi, M., Abdelmounim, E., DSP in the Loop Implementation of Sliding Mode and Super Twisting Sliding Mode Controllers Combined with an Extended Kalman Observer for Wind Energy System Involving a DFIG, (2020) International Journal on Energy Conversion (IRECON), 8 (1), pp. 26-37.
https://doi.org/10.15866/irecon.v8i1.18432

Dbaghi, Y., Farhat, S., Mediouni, M., Essakhi, H., Comparative Study Between Back-Stepping Control and ANN-Sliding Mode Control of DFIG-Based Wind Turbine System, (2021) International Review on Modelling and Simulations (IREMOS), 14 (4), pp. 261-271.
https://doi.org/10.15866/iremos.v14i4.19376

Lahlou, Z., Berrada, Y., Boumhidi, I., Nonlinear Feedback Control for a Complete Wind Energy Conversion System, (2019) International Review of Automatic Control (IREACO), 12 (3), pp. 136-144.
https://doi.org/10.15866/ireaco.v12i3.16656

Radouane, O., Rachidi, M., Adaptive Input-Output Feedback Linearization Control of Doubly-Fed Induction Machine in Wind Power Generation, (2019) International Review of Automatic Control (IREACO), 12 (1), pp. 11-20.
https://doi.org/10.15866/ireaco.v12i1.15619

Belkhiri, D., Alaoui, M., Improved Tracking of Optimal Torque by Artificial Neural Network for Wind Energy Systems, (2021) International Review on Modelling and Simulations (IREMOS), 14 (2), pp. 110-117.
https://doi.org/10.15866/iremos.v14i2.19157


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize