Speed Control of Induction Motor with Broken Bars Using Sliding Mode Control (Smc) Based to on Type-2 Fuzzy Logic Controller (T2FLC)

Speed Control of Induction Motor with Broken Bars Using Sliding Mode Control (Smc) Based to on Type-2 Fuzzy Logic Controller (T2FLC)

Djameleddine. Djafar* Saad. Belhamdi

Electrical Engineering Laboratory, University Mohamed Boudiaf- Msila, Algeria

Corresponding Author Email: 
djafar.djameleddine@univ-msila.dz
Page: 
197-201
|
DOI: 
https://doi.org/10.18280/ama_c.730409
Received: 
8 July 2018
| |
Accepted: 
15 November 2018
| | Citation

OPEN ACCESS

Abstract: 

The traditional control of induction motor is not enough, because it lacks robustness, especially when the demand for accuracy and other dynamic characteristics of the system are of better performance in nowadays industry. One of the most spreader problems of the induction motor that limits the performance of the speed control is the broken rotor bars. For Improving performance of the induction motor of broken rotor bars, sliding mode control based on fuzzy logic type-2 is analyzed within this research paper. Fuzzy logic is one of the methods that relay on artificial intelligence, and which does not require a mathematical model of the system as the traditional control does. Artificial intelligence is the most used one, especially when it comes to non-linear systems as the motor drive one.

Keywords: 

induction motor, type-2 fuzzy logic speed controller, sliding mode control, broken bar, robustness

1. Introduction
2. Model with Fault of Induction Motor for its Control
3. Sliding Mode Control for the Induction Machine
4. Order by Type-2 Fuzzy Logic
5. Results and Discussion
6. Conclusion
Nomenclature
Appendix
  References

[1] Utkin VI. (1977). Variable structure systems with sliding modes. IEEE Transactions on Automatic Control AC-22(2): 212-222. https://doi.org/10.1109/TAC.1977.1101446

[2] Gameel GK, Areed FF, Abdalla ME. (2015). Sliding mode control for speed of an induction motor with backlash. International Journal of Applications 125(6): 54-58. https://doi.org/10.5120/ijca2015905943

[3] Belhamdi S, Goléa A. (2011). Sliding mode control of asynchronous machine presenting defective rotor bars. AMSE Journals, Series Advances C 66(1/2): 39-49.

[4] Yu XH, Kaynak O. (2009). Sliding mode control with soft computing: A survey. IEEE Transactions on Industrial Electronics 56(9): 3275-3285. https://doi.org/10.1109/TIE.2009.2027531

[5] Cipertino F, Lattanzi A, Salvatore L. (2000). Sliding mode control of an induction motor. Power Electronics and Variable Speed Drives 475: 206-210. https://doi.org/10.1049/cp:20000246

[6] Belhamdi S, Goléa A. (2017). Direct field-oriented control using fuzzy logic type-2 for induction motor with broken bars. AMSE Journals, Advances C 72(4): 203-212.

[7] Mendel JM, John RI, Liu F. (2006). Interval type-2 fuzzy logic systems made simple. IEEE Transactions on Fuzzy  

[8] Systems 14(6): 808-821. https://doi.org/10.1109/TFUZZ.2006.879986

[9] Hagras H. (2007). Type-2 FLCs, A new generation of fuzzy controllers. IEEE Computational Intelligence Magazine 2: 30-43. https://doi.org/10.1109/mci.2007.357192

[10] Mamdani E, Assilian S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Machine Studies 7(1): 1-13. https://doi.org/10.1016/S0020-7373(75)80002-2

[11] Belhamdi S, Goléa A. (2013). Fuzzy logic control of asynchronous machine presenting defective rotor bars. AMSE Journals, Advances C 68(2): 54-63.

[12] Belhamdi S, Goléa A. (2015). Direct torque control for induction motor with broken bars using fuzzy logic type-2. AMSE Journals, Advances C 70(1-2): 15-28.

[13] Kumar RS, Kumar KV, Ray KK. (2009). Sliding mode control of induction motor using simulation approach. IJCSNS 9(10): 93-104.

[14] Belhamdi S, Goléa A. (2017). Fuzzy sliding mode speed controller design of induction motor drives with broken bars. AMSE Journals, Advances C 72(4): 281-291.