IMPROVEMENT IN SPEED PERFORMANCE OF AN INDUCTION MOTOR WITH SLIDING MODE CONTROLLER AND ANN FOR DTC
DOI:
https://doi.org/10.4314/jfas.v12i1.7Keywords:
induction motor (IM); direct torque control (DTC); integral-proportional (IP) controller; artificial neural network (ANN); sliding mode control (SMC).Abstract
To further improve the dynamic speed control performance of an induction motor (IM) using a controller based on sliding mode control (SMC) strategy, the switching table for direct torque control (DTC) is realized using a feed forward artificial neural network (ANN). The proposed feed-forward ANN consists of three layers: input, hidden and output layer. The input layer consists of three neurons (sector of flux vector, electromagnetic torque error and stator flux error), the hidden layer consists of a number of neurons that can be determined by experiment to obtain good results. The output layer consists of three neurons (three signals of the converter Sa, Sb and Sc). Simulation results under MATLAB environment are presented and compared with classical DTC using an Integral-proportional (IP) controller to verify the proposed approach.
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References
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[4] Casadei D., Profumo F., Serra G., Tani A. FOC and DTC: two viable schemes for induction motors torque control. IEEE Trans. on Power Electronics, 2002, 17: 779-787
[5] Abad G., Rodriguez M., Poza J. Predictive direct power control of the doubly fed induction machine with reduced power ripple at low constant switching frequency. IEEE ISIE’2007 Conf., pp.1073-1079.
[6] Takahashi I., Noguchi T., A new quick-response and high-efficiency control strategy of an induction motor. IEEE Trans. Ind. Appl., 1986, 22(5): 820-827
[7] Nur Hakimah A. A., Azhan A. R. Simulation on Simulink AC4 Model (200hp DTC Induction Motor Drive) using Fuzzy Logic Controller. Inter. Conf. on Computer Appli. and Indu. Electro., Dec. 5-7, 2010, Lumpur, Malaysia.
[8] Naga Ananth D. artificial neural network based direct torque control for variable speed wind turbine driven induction generator. Inter. J. of Compu. and Electri. Engi., 2011, 3(6): 880-889
[9] Zegai M., Bendjebbar M., Belhadri K., Doumbia M., Hamane B., Koumba P. Direct torque control of Induction Motor based on artificial neural networks speed control using MRAS and neural PID controller. Electri. Power and Energy Conf., 2015 IEEE, 26-28 Oct. 2015, Canada
[10] Jadhav S., Kirankumar J., Chaudhari B.N. ANN based Intelligent control of induction motor drive with space vector modulated DTC. 2012 IEEE Inter. Conf. on Power Electro., Drives and Energy Systems, Dec. 16-19, 2012, Bengaluru, India, pp. 1-6.
[11] Hassan A. Direct Torque Control of an Induction Motor Drive Integrated with Sliding Mode Control and Space Vector Modulation. Engin. and Techno., 2015, 2(3): 159-165
[12] Krim S., Gdaim S., Mtibaa Ab., Mimouni M. Real time implementation of DTC based on sliding mode speed controller of an induction motor,” 16th Intern. Conf. on Sciences and Techni. of Autom. control and computer engin., Monastir, Tunisia, Dec. 21-23, 2015, pp. 94-100.
[13] Ammar A., Benakcha A., Bourek A. Closed loop torque SVM-DTC based on robust super twisting speed controller for induction motor drive with efficiency optimization,” Inter. J. of Hydro. Ener., 2017, http://dx.doi.org/10.1016/j.ijhydene.2017.04.034
[14] Verma A., Singh B., Yadav D. Investigation of ANN tuned PI speed controller of a modified DTC induction motor drive. Pow. Electro., Driv. and Ener. Syst., 2014 IEEE Inter. Conf., DOI: 10.1109/PEDES.2014.7042146
[15] Chaouch S., Abdou L., Chrifi Alaoui L., Drid S. optimized torque control via backstepping using genetic algorithm of induction motor,” AUTOMATIKA, 2016, 57(2): 379-386
[16] Sudheer H., Kodad S., Sarvesh B. Improvements in direct torque control of induction motor for wide range of speed operation using fuzzy logic. J. Electr. Syst. Inform. Technol. (2017), http://dx.doi.org/10.1016/j.jesit.2016.12.015
[17] Zemmit A., Messalti S., Harrag A. A new improved DTC of doubly fed induction machine using GA-based PI controller. Ain Shams Eng. J. (2017), http://dx.doi.org/10.1016/j.asej.2016.10.011
[18] Wu X., Huang L. direct torque control of three-level inverter using neural networks as switching vector selector,” 36th IAS, IEEE Indus. Appl. Conf., 2001, 2(30): 939-944
[19] Siva Reddy Y., Vijayakumar M., Brahmananda Reddy T. direct torque control of induction motor using sophisticated lookup tables based on neural networks,” AIML J., 2007, 7(1): 9-15
[2] Takahashi I., Ohmori Y. high performance direct torque control of an induction motor. IEEE Trans. Ind. Appl., 1989, 25(2) : 257-264
[3] Depenbrock M. Direct self-control (DSC) of inverter-fed induction machine,” IEEE Trans. on Pow. Electron., 1988, 3: 420-429
[4] Casadei D., Profumo F., Serra G., Tani A. FOC and DTC: two viable schemes for induction motors torque control. IEEE Trans. on Power Electronics, 2002, 17: 779-787
[5] Abad G., Rodriguez M., Poza J. Predictive direct power control of the doubly fed induction machine with reduced power ripple at low constant switching frequency. IEEE ISIE’2007 Conf., pp.1073-1079.
[6] Takahashi I., Noguchi T., A new quick-response and high-efficiency control strategy of an induction motor. IEEE Trans. Ind. Appl., 1986, 22(5): 820-827
[7] Nur Hakimah A. A., Azhan A. R. Simulation on Simulink AC4 Model (200hp DTC Induction Motor Drive) using Fuzzy Logic Controller. Inter. Conf. on Computer Appli. and Indu. Electro., Dec. 5-7, 2010, Lumpur, Malaysia.
[8] Naga Ananth D. artificial neural network based direct torque control for variable speed wind turbine driven induction generator. Inter. J. of Compu. and Electri. Engi., 2011, 3(6): 880-889
[9] Zegai M., Bendjebbar M., Belhadri K., Doumbia M., Hamane B., Koumba P. Direct torque control of Induction Motor based on artificial neural networks speed control using MRAS and neural PID controller. Electri. Power and Energy Conf., 2015 IEEE, 26-28 Oct. 2015, Canada
[10] Jadhav S., Kirankumar J., Chaudhari B.N. ANN based Intelligent control of induction motor drive with space vector modulated DTC. 2012 IEEE Inter. Conf. on Power Electro., Drives and Energy Systems, Dec. 16-19, 2012, Bengaluru, India, pp. 1-6.
[11] Hassan A. Direct Torque Control of an Induction Motor Drive Integrated with Sliding Mode Control and Space Vector Modulation. Engin. and Techno., 2015, 2(3): 159-165
[12] Krim S., Gdaim S., Mtibaa Ab., Mimouni M. Real time implementation of DTC based on sliding mode speed controller of an induction motor,” 16th Intern. Conf. on Sciences and Techni. of Autom. control and computer engin., Monastir, Tunisia, Dec. 21-23, 2015, pp. 94-100.
[13] Ammar A., Benakcha A., Bourek A. Closed loop torque SVM-DTC based on robust super twisting speed controller for induction motor drive with efficiency optimization,” Inter. J. of Hydro. Ener., 2017, http://dx.doi.org/10.1016/j.ijhydene.2017.04.034
[14] Verma A., Singh B., Yadav D. Investigation of ANN tuned PI speed controller of a modified DTC induction motor drive. Pow. Electro., Driv. and Ener. Syst., 2014 IEEE Inter. Conf., DOI: 10.1109/PEDES.2014.7042146
[15] Chaouch S., Abdou L., Chrifi Alaoui L., Drid S. optimized torque control via backstepping using genetic algorithm of induction motor,” AUTOMATIKA, 2016, 57(2): 379-386
[16] Sudheer H., Kodad S., Sarvesh B. Improvements in direct torque control of induction motor for wide range of speed operation using fuzzy logic. J. Electr. Syst. Inform. Technol. (2017), http://dx.doi.org/10.1016/j.jesit.2016.12.015
[17] Zemmit A., Messalti S., Harrag A. A new improved DTC of doubly fed induction machine using GA-based PI controller. Ain Shams Eng. J. (2017), http://dx.doi.org/10.1016/j.asej.2016.10.011
[18] Wu X., Huang L. direct torque control of three-level inverter using neural networks as switching vector selector,” 36th IAS, IEEE Indus. Appl. Conf., 2001, 2(30): 939-944
[19] Siva Reddy Y., Vijayakumar M., Brahmananda Reddy T. direct torque control of induction motor using sophisticated lookup tables based on neural networks,” AIML J., 2007, 7(1): 9-15
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Published
2019-12-17
How to Cite
BEKAKRA, Y.; BEN ATTOUS, D.; TIR, Z.; MALIK, O. IMPROVEMENT IN SPEED PERFORMANCE OF AN INDUCTION MOTOR WITH SLIDING MODE CONTROLLER AND ANN FOR DTC. Journal of Fundamental and Applied Sciences, [S. l.], v. 12, n. 1, p. 86–114, 2019. DOI: 10.4314/jfas.v12i1.7. Disponível em: https://jfas.info/index.php/JFAS/article/view/507. Acesso em: 30 jan. 2025.
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