Design of Neuro-Fuzzy Based Torque Controller for Torque Ripple Reduction of Asynchronous Motor

Öz

Among all the control methods developed for Induction Motor (IM) drivers, the hysteresis controller based Direct Torque Control (DTC) method has an important place. This control method does not require other rotor and stator parameters except the stator resistance and does not require position or velocity sensors. However, there are some disadvantages of the DTC method, such as high torque, flux and current ripples. In this study, in order to reduce the high torque ripples occurring in an induction motor that is controlled by the hysteresis controller based conventional DTC method, a simple and effective Sugeno type Neuro-Fuzzy Torque Controller (NFTC) is proposed. This proposed controller is used instead of hysteresis controller. An experimental setup consisting of 1.1 kW induction motor, current and voltage measurement, DS1103 control card and two-level voltage source inverter was installed. To evaluate the performance of the proposed controller structure, various experimental studies were performed. Results obtained from the proposed NFTC based structure and conventional hysteresis controller based DTC structures are given comparatively. By the obtained experimental results, it was confirmed that the proposed NFTC-based controller structure considerably reduced flux and torque ripples in the motor.

Anahtar Kelimeler

• Direct Torque Control
• AC Drives
• Neural Fuzzy Networks
• Torque Ripple Reduction

Kaynakça

1. Buja G, Kazmierkowski MP. “Direct Torque Control of PWM Inverter Fed AC Motors-A Survey”. IEEE Transactions on Industrial Electronics, 51 (4), 744-757, 2004.
2. Blaschke F. “A New Method for the Structural Decoupling of AC Induction Machines”. In Conf. Rec. IFAC, 1-15, 1971.
3. Takahashi I, Noguchi T. “A New Quick-Response and High Efficiency Control Strategy of an Induction Machine”. IEEE Transactions on Industrial Applications, 22, 820-827, 1986.
4. Belkacem S, Naceri F, Abdessemed R. “Reduction of Torque Ripple in DTC for Induction Motor Using Input-Output Feedback Linearization”. Turkish Journal of Electrical Engineering and Computer Sciences, 20(3), 273-285, 2012.
5. Casadei D, Grandi G, Serra G, Tani A. “Effects of Flux and Torque Hysteresis Band Amplitude in Direct Torque Control of Induction Machines”. In Conf. Rec. IECON’94, 299-304, 1994.
6. Casadei D, Profumo F, Serra G, Tani A. “FOC and DTC: Two Viable Schemes for Induction Motors Torque Control”. IEEE Transactions on Industrial Electronics, 17 (5), 779-787, 2002.
7. Casadei D, Serra G, Tani A. “Improvement of Direct Torque Control Performance by Using a Discrete SVM Technique”. In Conf. Rec. PESC’98, 997-1003, 1998.
8. Galvan E, Carrasco JM, Ortega R, Escobar G, Stankovic AM. “A Family of Switching Control Strategies for the Reduction of Torque Ripple on the Direct Torque and Flux Control for Induction Motors”. The 27th Annual Conference of the IEEE Industrial Electronics Society, 1274-1279, 2001.

9. Idris NRN, Yatim AHM. “A Reduced Torque Ripple Controller for Direct Torque Control of Induction Machines”. Electric Power Components and Systems, 507–524, 2002.
10. Tripathi A, Khambadkone AM, Panda SK. “Torque Ripple Analysis and Dynamic Performance of a Space Vector Modulation Based Control Method for AC-Drives”. IEEE Transactions on Power Electronics, 20(2), 485-492, 2005.
11. Grabowski PZ, Blaabjerg F. “Direct Torque Neuro-Fuzzy Control of Induction Motor Drive”. DSP Implementation In Conf. Rec. IECON’98, 657-661, 1998.
12. Vasudevan M, Arumugam R. “High-Performance Adaptive Intelligent Direct Torque Control Schemes for Induction Motor Drives”. KMITL Sci. Tech. J, 5(3), 559-576, 2005.
13. Xia Y, Oghanna W. “Fuzzy Direct Torque Control of Induction Motor with Stator Flux Estimation Compensation”. In Proc.IEEE IECON’97, 2, 505-510, 1997.
14. Lai YS, Lin JC. “New Hybrid Fuzzy Controller for Direct Torque Control Induction Motor Drives”. IEEE Transactions on Power Electronics, 18(5), 1211-1219, 2003.
15. Lee KB, Song JH. “Torque Ripple Reduction in DTC of Induction Motor Driven by Three-Level Inverter With Low Switching Frequency”. IEEE Transactions on Power Electronics, 17(2), 255–264, 2002.
16. Miranda H, Cortes P, Yuz P, Rodriguez J. “Predictive Torque Control of Induction Machines Based on State-Space Models”. IEEE Transactions on Industrial Electronics, 56(6), 1916–1924, 2009.
17. Kang JK, Sul SK. “Torque Ripple Minimization Strategy for Direct Torque Control of Induction Motor”. In Conf. Rec. IEEE-IAS, 438-443, 1998.
18. Qutubuddin MD, Yadaiah N. “Modeling and Implementation of Brain Emotional Controller for Permanent Magnet Synchronous Motor Drive”. Engineering Applications of Artificial Intelligence, 60, 193–203, 2017.
19. Sangdani MH, Tavakolpour-Saleh AR, Lotfavar A. “Genetic Algorithm-Based Optimal Computed Torque Control of a Vision-Based Tracker Robot: Simulation and Experimental”. Engineering Applications of Artificial Intelligence, 67, 24–38, 2018.
20. Sakthivel VP, Bhuvaneswari R, Subramanian S. “Multi-Objective Parameter Estimation of Induction Motor Using Particle Swarm Optimization”. Engineering Applications of Artificial Intelligence, 23, 302–312, 2010.
21. Kumar RH, Iqbal A, Lenin NC. “Review of Recent Advancements of Direct Torque Control in Induction Motor Drives-A Decade of Progress”. IET Power Electronics, 11(1), 1-15, 2018.
22. Gowri KS, Reddy TB, Babu CS. “Direct Torque Control of Induction Motor Based on Advanced Discontinuous PWM Algorithm for Reduced Current Ripple”. Electrical Engineering, 92, 245-255, 2010.
23. Labiod C, Srairi K, Mahdad B, Benbouzid MEH. “A Novel Control Technique for Torque Ripple Minimization in Switched Reluctance Motor Through Destructive Interference”. Electrical Engineering, 100(2), 481-490, 2018.
24. Kesler S; Akpınar AS, Saygın A. “The Fuzzy Logic Based Power Injection Into Rotor Circuit For Instantaneous High Toerque And Speed Control In Induction Machines”. Pamukkale University Journal of Engineering Sciences, 15(1), 13-23, 2009.
25. Zaky MS. “High Performance DTC of Induction Motor Drives Over a Wide Speed Range”. Electrical Engineering, 97(2), 139-154, 2015.