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Year 2019, Volume: 7 Issue: 2, 143 - 148, 30.04.2019
https://doi.org/10.17694/bajece.510170

Abstract

References

  • R. Çelikel, M. Özdemir, and Ö. Aydoğmuş, “Implementation of a flywheel energy storage system for space applications,” Turkish J. Electr. Eng. Comput. Sci., Vol.25, 2017, pp. 1197–1210.
  • J.Y.S. Luh, “Conventional Controller Design for Industrial Robots—A Tutorial,” IEEE Trans. Syst. Man Cybern., Vol.SMC-13, No. , 1983, pp.298–316.
  • Wahyudi, S.S. Mokri, and A.A. Shafie, “Real time implementation of NARMA L2 feedback linearization and smoothed NARMA L2 controls of a single link manipulator,” Proc. Int. Conf. Comput. Commun. Eng. 2008, ICCCE08 Glob. Links Hum. Dev., pp.691–697, 2008.
  • S.S. Mokri, H. Husain, W. Martono, A. Shafie, U.K.M. Bangi, and S. De, “Real Time Implementation of NARMA-L2 Control of a Single Link Manipulator Faculty of Engineering , Kulliyah of Engineering , International Islamic University of Malaysia , 50728 , Kuala Lumpur , Malaysia,” Am. J. Appl., Vol.5, No.12, 2008, pp. 1642–1649.
  • O. Adetona, S. Sathananthan, and L.H. Keel, “Robust adaptive control of nonaffine nonlinear plants with small input signal changes,” IEEE Trans. Neural Networks, Vol.15, No.2, 2004, pp.408–416.
  • M. George and K. Prasad Basu, “NARMA-L2 controlled variable frequency three-phase induction motor drive,” Eur. J. Sci. Res., Vol.70, No.1, 2012, pp. 98–111.
  • T.D. Dongale, T.G. Kulkarni, S.R. Ghatage, and R.R. Mudholkar, “Implementation and Comparative study of Three Phase Induction Motor Control Using PID Controller , Fuzzy Logic and Neural Network Techniques,” International Journal of Science and Research, 2012, pp. 271–275.
  • I. Iulia and A. Mihail, “Design of NARMA-L2 Neural controller for an Induction Motor ’ s Speed Control,” Journal of Computer Science & Control Systems, Vol.6, No.2, 2013, pp. 18–22.
  • H. Abu-Rub and A. Awwad, “Artificial neural networks and fuzzy logic based control of AC motors,” Int. Electr. Mach. Drives Conf. (IEMDC 2009), No.1, 2009., pp. 1575–1580.
  • M. Alhanjouri, “Speed control of DC motor using artificial neural network,” International Journal of Science and Research, Vol.6, No.2, 2012, pp. 2104-2148.
  • M.R. Khaldi, A. El, and H. Hassan, "State estimation based optimal control and NARMA-L2 controllers of a scaled-model helicopter," IFAC, 2009, Vol.2, No. PART 1.
  • F. Chetouane and S. Darenfed, “Neural network NARMA control of a gyroscopic inverted pendulum,” Eng. Lett., Vol.16, August, 2008, pp.1–6.
  • K. Uçak and G. Öke Günel, “A novel adaptive NARMA-L2 controller based on online support vector regression for nonlinear systems,” Neural Process. Lett., Vol.44, No.3, 2016, pp. 857–886.
  • J. Kananai, “Stiff PD and Narma L2 synergy control for a nonlinear mechanical system,” Eur. J. Sci. Res., Vol.77, No.3, 2012, pp. 350–361.
  • Y. Jiang, D. Necsulescu, and J. Sasiadek, "Robotic unmanned aerial vehicle trajectory tracking control," IFAC, 2006, Vol.39, No.15.
  • S.A. Azeer, R. Ramjug-Ballgobin, and S.Z. Sayed Hassen, “Intelligent controllers for load frequency control of two-area power system,” IFAC-Papers On Line, 2017, Vol.50, No.2, pp.301–306.
  • Y. Al-Dunainawi, M.F. Abbod, and A. Jizany, “A new MIMO ANFIS-PSO based NARMA-L2 controller for nonlinear dynamic systems,” Eng. Appl. Artif. Intell., Vol.62, November, 2016, pp. 265–275.
  • A.M. Kassem, “MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks,” Int. J. Electr. Power Energy Syst., Vol.43, No.1, 2012, pp. 90–98.
  • V. Bhatia, V. Kalaichelvi, and R. Karthikeyan, “Comparison of GA tuned fuzzy logic and NARMA-L2 controllers for motion control in 5-DOF robot,” Int. J. Comput. Appl., Vol.39, No.2, Apr. 2017, pp. 69–78.

Speed Control of BLDC Using NARMA-L2 Controller in Single Link Manipulator

Year 2019, Volume: 7 Issue: 2, 143 - 148, 30.04.2019
https://doi.org/10.17694/bajece.510170

Abstract

The BLDC motors are widely used in
industrial applications. The load characteristic and controller are important
to obtain optimum performance in the speed control of the BLDC motor because
some problems are occurred in speed control of nonlinear loads which is used the
conventional control methods. The single link manipulator used in robotic
applications is a nonlinear system for control algorithms. The load of motor is
determined on considering the conversion ratio of the reducer box. In this
study, a single link manipulator system consist of BLDC motor, reducer gearbox
and robot arm is controlled by using NARMA-L2 controller as known modern
control method in used the control of the nonlinear systems. The NARMA-L2
controller is based on neural network. The single link manipulator system is
analyzed by using MATLAB/Simulink environment. The speed control of the BLDC
motor is performed in conditions the constant and nonlinear load. The results
show that the speed control of BLDC motor is performed the high performance in
nonlinear loads.

References

  • R. Çelikel, M. Özdemir, and Ö. Aydoğmuş, “Implementation of a flywheel energy storage system for space applications,” Turkish J. Electr. Eng. Comput. Sci., Vol.25, 2017, pp. 1197–1210.
  • J.Y.S. Luh, “Conventional Controller Design for Industrial Robots—A Tutorial,” IEEE Trans. Syst. Man Cybern., Vol.SMC-13, No. , 1983, pp.298–316.
  • Wahyudi, S.S. Mokri, and A.A. Shafie, “Real time implementation of NARMA L2 feedback linearization and smoothed NARMA L2 controls of a single link manipulator,” Proc. Int. Conf. Comput. Commun. Eng. 2008, ICCCE08 Glob. Links Hum. Dev., pp.691–697, 2008.
  • S.S. Mokri, H. Husain, W. Martono, A. Shafie, U.K.M. Bangi, and S. De, “Real Time Implementation of NARMA-L2 Control of a Single Link Manipulator Faculty of Engineering , Kulliyah of Engineering , International Islamic University of Malaysia , 50728 , Kuala Lumpur , Malaysia,” Am. J. Appl., Vol.5, No.12, 2008, pp. 1642–1649.
  • O. Adetona, S. Sathananthan, and L.H. Keel, “Robust adaptive control of nonaffine nonlinear plants with small input signal changes,” IEEE Trans. Neural Networks, Vol.15, No.2, 2004, pp.408–416.
  • M. George and K. Prasad Basu, “NARMA-L2 controlled variable frequency three-phase induction motor drive,” Eur. J. Sci. Res., Vol.70, No.1, 2012, pp. 98–111.
  • T.D. Dongale, T.G. Kulkarni, S.R. Ghatage, and R.R. Mudholkar, “Implementation and Comparative study of Three Phase Induction Motor Control Using PID Controller , Fuzzy Logic and Neural Network Techniques,” International Journal of Science and Research, 2012, pp. 271–275.
  • I. Iulia and A. Mihail, “Design of NARMA-L2 Neural controller for an Induction Motor ’ s Speed Control,” Journal of Computer Science & Control Systems, Vol.6, No.2, 2013, pp. 18–22.
  • H. Abu-Rub and A. Awwad, “Artificial neural networks and fuzzy logic based control of AC motors,” Int. Electr. Mach. Drives Conf. (IEMDC 2009), No.1, 2009., pp. 1575–1580.
  • M. Alhanjouri, “Speed control of DC motor using artificial neural network,” International Journal of Science and Research, Vol.6, No.2, 2012, pp. 2104-2148.
  • M.R. Khaldi, A. El, and H. Hassan, "State estimation based optimal control and NARMA-L2 controllers of a scaled-model helicopter," IFAC, 2009, Vol.2, No. PART 1.
  • F. Chetouane and S. Darenfed, “Neural network NARMA control of a gyroscopic inverted pendulum,” Eng. Lett., Vol.16, August, 2008, pp.1–6.
  • K. Uçak and G. Öke Günel, “A novel adaptive NARMA-L2 controller based on online support vector regression for nonlinear systems,” Neural Process. Lett., Vol.44, No.3, 2016, pp. 857–886.
  • J. Kananai, “Stiff PD and Narma L2 synergy control for a nonlinear mechanical system,” Eur. J. Sci. Res., Vol.77, No.3, 2012, pp. 350–361.
  • Y. Jiang, D. Necsulescu, and J. Sasiadek, "Robotic unmanned aerial vehicle trajectory tracking control," IFAC, 2006, Vol.39, No.15.
  • S.A. Azeer, R. Ramjug-Ballgobin, and S.Z. Sayed Hassen, “Intelligent controllers for load frequency control of two-area power system,” IFAC-Papers On Line, 2017, Vol.50, No.2, pp.301–306.
  • Y. Al-Dunainawi, M.F. Abbod, and A. Jizany, “A new MIMO ANFIS-PSO based NARMA-L2 controller for nonlinear dynamic systems,” Eng. Appl. Artif. Intell., Vol.62, November, 2016, pp. 265–275.
  • A.M. Kassem, “MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks,” Int. J. Electr. Power Energy Syst., Vol.43, No.1, 2012, pp. 90–98.
  • V. Bhatia, V. Kalaichelvi, and R. Karthikeyan, “Comparison of GA tuned fuzzy logic and NARMA-L2 controllers for motion control in 5-DOF robot,” Int. J. Comput. Appl., Vol.39, No.2, Apr. 2017, pp. 69–78.
There are 19 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Araştırma Articlessi
Authors

Reşat Çelikel

Publication Date April 30, 2019
Published in Issue Year 2019 Volume: 7 Issue: 2

Cite

APA Çelikel, R. (2019). Speed Control of BLDC Using NARMA-L2 Controller in Single Link Manipulator. Balkan Journal of Electrical and Computer Engineering, 7(2), 143-148. https://doi.org/10.17694/bajece.510170

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