Discrete-time neural sliding-mode block control for a DC motor with controlled flux

IEEE Transactions on Industrial Electronics

Volumn 59, Issue 2, 2012, Pages 1194-1207

  Castaneda, Carlos E ^a   Loukianov, Alexander G ^b   Sanchez, Edgar N ^b   Castillo Toledo, Bernardino ^b  

^a UNIVERSITY OF GUADALAJARA   (Mexico)

^b UNIDAD GUADALAJARA   (Mexico)

Author keywords

Direct current (dc) motor; neural networks (NNs); sliding mode (SM) control

Indexed keywords

BLOCK CONTROL; CONTROL SCHEMES; DIRECT CURRENT (DC) MOTOR; DIRECT CURRENT MOTORS; DISCRETE-TIME; EXTENDED KALMAN FILTER ALGORITHM; PLANT MODEL; REAL-TIME IMPLEMENTATIONS; SLIDING MODES; STABILITY ANALYSIS; TRACKING CONTROLLER; TRAJECTORY TRACKING;

DC MOTORS; REAL TIME CONTROL;

RECURRENT NEURAL NETWORKS;

EID: 80054805501     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2011.2161246     Document Type: Article

References (25)

1. Z. Z. Liu, F. L. Luo, and M. H. Rashid, "Speed nonlinear control of DC motor drive with field weakening," IEEE Trans. Ind. Appl., vol. 39, no. 2, pp. 417-423, Mar./Apr. 2003.
2. J. Zhou, Y. Wang, and R. Zhou, "Global speed control of separately excited DC motor," in Proc. IEEE Power Eng. Soc. Winter Meeting, 2001, vol. 3, pp. 1425-1430.
3. M. Zribi and A. Al-Zamel, "Field-weakening nonlinear control of a separately excited DC motor," Math. Probl. Eng., vol. 2007, pp. 1-22, 2007, Article ID 58410.
4. J. O. Jang, "Neural network saturation compensation for DC motor systems," IEEE Trans. Ind. Electron., vol. 54, no. 3, pp. 1763-1767, Jun. 2007.
5. M.-Y. Chow and Y. Tipsuwan, "Gain adaptation of networked DC motor controllers based on QoS variations," IEEE Trans. Ind. Electron., vol. 50, no. 5, pp. 936-943, Oct. 2003.
6. H. Li, M.-Y. Chow, and Z. Sun, "EDA-based speed control of a networked DC motor system with time delays and packet losses," IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1727-1735, May 2009.
7. K. Erenturk, "Hybrid control of a mechatronic system: Fuzzy logic and grey system modeling approach," IEEE/ASME Trans. Mechatronics, vol. 12, no. 6, pp. 703-710, Dec. 2007.
8. M. R. Matausek, B. I. Jeftenic, D. M. Miljkovic, and M. Z. Bebic, "Gain scheduling control of DC motor drive with field weakening," IEEE Trans. Ind. Electron., vol. 43, no. 1, pp. 153-162, Feb. 1996.
9. F. Betin, D. Pinchon, and G. A. Capolino, "A time-varying sliding surface for robust position control of a DC motor drive," IEEE Trans. Ind. Electron., vol. 49, no. 2, pp. 462-473, Apr. 2002.
10. V. Utkin, "Sliding mode control design principles and applications to electric drives," IEEE Trans. Ind. Electron., vol. 40, no. 1, pp. 23-36, Feb. 1993.
11. N. H. Hyng and V. Utkin, "Control of DC electric motor," Autom. Remote Control, vol. 67, no. 5, pp. 767-782, May 2006.
12. Q. N. Le and J.-W. Jeon, "Neural-network-based low-speed-damping controller for stepper motor with an FPGA," IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 3167-3180, Sep. 2010.
13. C. Xia, C. Guo, and T. Shi, "A neural-network-identifier and fuzzycontroller-based algorithm for dynamic decoupling control of permanentmagnet spherical motor," IEEE Trans. Ind. Electron., vol. 57, no. 8, pp. 2868-2878, Aug. 2010.
14. C.-C. Tsai, H.-C. Huang, and S.-C. Lin, "Adaptive neural network control of a self-balancing two-wheeled scooter," IEEE Trans. Ind. Electron., vol. 57, no. 4, pp. 1420-1428, Apr. 2010.
15. A. Yahyaoui, N. Fnaiech, and F. Fnaiech, "A suitable initialization procedure for speeding a neural network job-shop scheduling," IEEE Trans. Ind. Electron., vol. 58, no. 3, pp. 1052-1060, Mar. 2011.
16. R. H. Abiyev and O. Kaynak, "Type 2 fuzzy neural structure for identification and control of time-varying plants," IEEE Trans. Ind. Electron., vol. 57, no. 12, pp. 4147-4159, Dec. 2010.
17. F. F. M. El-Sousy, "Hybrid-based wavelet-neural-network tracking control for permanent-magnet synchronous motor servo drives," IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 3157-3166, Sep. 2010.
18. R. A. Felix, E. N. Sanchez, and A. G. Loukianov, "Avoiding controller singularities in adaptive recurrent neural control," in Proc. IFAC, Prague, Czech Republic, 2005.
19. F. J. Lin and R. J. Way, "Sliding mode controller slider-crank mechanism with fuzzy neural network," IEEE Trans. Ind. Electron., vol. 48, no. 1, pp. 60-70, Feb. 2001.
20. L. Wang, T. Chai, and L. Zhai, "Neural-network-based terminal slidingmode control of robotic manipulators including actuator dynamics," IEEE Trans. Ind. Electron., vol. 56, no. 9, pp. 3296-3304, Sep. 2009.
21. E. N. Sanchez, A. Y. Alanis, and G. Chen, "Recurrent neural networks trained with Kalman filtering for discrete chaos reconstruction," in Proc. Asian-Pacific Workshop Chaos Control Synchronization, Melbourne, Australia, 2004, pp. 55-59.
22. A. G. Loukianov, J. M. Canedo, V. Utkin, and J. Cabrera-Vázquez, "Discontinuous controller for power systems: Sliding-mode block control approach," IEEE Trans. Ind. Electron., vol. 51, no. 2, pp. 340-353, Apr. 2004.
23. M. Charkhgard and M. Farrokhi, "State-of-charge estimation for lithiumion batteries using neural networks and EKF," IEEE Trans. Ind. Electron., vol. 57, no. 12, pp. 4178-4187, Dec. 2010.
24. A. Y. Alanis, E. N. Sanchez, and A. G. Loukianov, "Discrete-time recurrent neural induction motor control using Kalman learning," in Proc. Int. Joint Conf. Neural Netw., Vancouver, BC, Canada, 2006, pp. 1993-2000.
25. Y.-F. Li and J. Wikander, "Discrete-time sliding mode control for linear systems with nonlinear friction," in Proc. 6th IEEE Int. Workshop Variable Struct. Syst., Gold Coast, Australia, 2000, pp. 35-44.