Adaptive Neuro-Fuzzy Inference System ( ANFIS ) Based Direct Torque Control of PMSM driven centrifugal pump

V.K. Arun Shankar, S. Umashankar, Sanjeevikumar Padmanaban, S. Paramasivam


This article presents Adaptive Neuro-Fuzzy Inference System based Direct Torque Control (ANFIS-DTC) for permanent magnet synchronous motor coupled to centrifugal pump. Direct Torque Control (DTC) is an inherent closed loop control with very less complexity, dynamic torque and speed response in comparison with the other vector control techniques. In variable torque applications like pumps when speed of motor varies, the load torque also varies correspondingly. To reduce the torque ripple and to improve the control further a new control algorithm named Adaptive Neuro-Fuzzy Inference System (ANFIS) is implemented along with DTC. In contrast with the conventional DTC and the Fuzzy logic based DTC, the proposed ANFIS based DTC has significantly reduced ripples in flux, torque and stator current. The results of the proposed ANFIS-DTC are validated through the Matlab simulations. The performance of the system is found satisfactory when it is tested with different speeds.

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Adaptive Neuro-Fuzzy Inference System (ANFIS); Centrifugal pump; Direct Torque Control (DTC); Permanent Magnet Synchronous Motor (PMSM); Variable Frequency Drives (VFD)

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Takahashi I, Noguchi T. A new quick-response and high-efficiency control strategy of an induction motor. Industry Applications, IEEE Transactions on. 1986 Sep(5): 820-7.

Kumar R, Singh B. Solar PV array fed water pumping system using SEPIC converter based BLDC motor drive. InPower Systems Conference (NPSC), Eighteenth National IEEE 2014 Dec 18: 1-5.

Ducar I, Marinescu C. Comparative study for reversible pump at variable speed in PMSM applications. InAdvanced Topics in Electrical Engineering (ATEE), IEEE 9th International Symposium on 2015 May 7: 205-210.

Abhishek S., Arun Shankar V.K. Umashankar S. Investigations on Performance Evaluation of VFD fed PMSM using DTC Control Strategies for Pumping Applications. International Conference on Engineering, Technology and Science (ICETS) 2016.

Hamidia F, Larabi A, Boucherit MS, Abbadi A. Fuzzy direct torque controlled Permanent Magnet Synchronous, Doubly Fed and Induction Motors. InNetworking, Sensing and Control (ICNSC), 10th IEEE International Conference on 2013 Apr 10: 54-58.

Zhang Y, Zhu J, Zhao Z, Xu W, Dorrell DG. An improved direct torque control for three-level inverter-fed induction motor sensorless drive. Power Electronics, IEEE Transactions on. 2012 Mar;27(3):1502-13.

Grabowski PZ, Kazmierkowski MP, Bose BK, Blaabjerg F. A simple direct-torque neuro-fuzzy control of PWM-inverter-fed induction motor drive. Industrial Electronics, IEEE Transactions on. 2000 Aug;47(4):863-70.

Zhong L, Rahman MF, Hu WY, Lim KW. Analysis of direct torque control in permanent magnet synchronous motor drives. Power Electronics, IEEE Transactions on. 1997 May;12(3):528-36.

Zhang Y, Zhu J. Direct torque control of permanent magnet synchronous motor with reduced torque ripple and commutation frequency. Power Electronics, IEEE Transactions on. 2011 Jan;26(1):235-48.

Niu F, Li K, Kui L, Wang B, Strangas EG. Comparative evaluation of direct torque control strategies for permanent magnet synchronous machines. In Applied Power Electronics Conference and Exposition (APEC), Twenty-Ninth Annual IEEE, 2014: 2438-2445.

Arun Shankar VK, Umashankar S, Paramasivam S, Performance Evaluation of fuzzy DTC based PMSM for Pumping Applications. Indian Journal of science and technology , 2016.

Niu F, Wang B, Babel AS, Li K, Strangas EG. Comparative evaluation of direct torque control strategies for permanent magnet synchronous machines. Power Electronics, IEEE Transactions on. 2016 Feb;31(2):1408-24.

Hafeez M, Uddin MN, Rahim NA, Ping HW. Self-Tuned NFC and Adaptive Torque Hysteresis-Based DTC Scheme for IM Drive. Industry Applications, IEEE Transactions on. 2014 Mar;50(2):1410-20.

Rajaji L, Kumar C. Adaptive neuro-fuzzy inference systems into squirrel cage induction motor drive: modeling, control and estimation. In Electrical and Computer Engineering, IEEE International Conference on ICECE 2008 Dec 20: 162-169.


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