ANFIS Based Torque Control of Switched Reluctance Motor
Ponrajan. P1, Jebarani Evangeline. S2, Jayakumar. J3
1P. Ponrajan, Power Electronics and Drives, Karunya University, Coimbatore, India.
2Jebarani Evangeline.S, Assistant Professor, EEE Department, Karunya University, Coimbatore, India.
3Jayakumar. J, Assistant Professor, EEE Department, Karunya University, Coimbatore, India.
Manuscript received on April 15, 2012. | Revised Manuscript received on April 20, 2012. | Manuscript published on May 05, 2012. | PP: 69-72 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0517032212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper develops an ANFIS based torque control of SRM to reduce the torque ripple. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks. This controller realizes a good dynamic behavior of the motor, a perfect speed tracking with no overshoot and a good rejection of impact loads disturbance. The results of applying the adaptive neuro-fuzzy controller to a SRM give better performance and high robustness than those obtained by the application of a conventional controller (PI). The above controller was realized using MATLAB/Simulink.
Keywords: ANFIS, Torque Control, Switched Reluctance Motor.