Fuzzy Logic Controller for Position Control of Servo Motor
J. Priya1, A.Jeevanandham2, K. Rajalashmi3
1J.Priya, Assistant Professor, Bannari Amman Institute of Technology, Erode (Tamil Nadu), India.
2A.Jeevanandham, Professor, Bannari Amman Institute of Technology, Erode (Tamil Nadu), India.
3K.Rajalashmi, Assistant Professor, Bannari Amman Institute of Technology, Erode (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 99-102 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2587018319/19©BEIESP
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© The Authors. 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: The Quanser servo motor is anopen-loop, unstable and nonlinear system.The standard linear techniques cannot model the nonlinear dynamics of the system. While simulating the system, the motor shaft rotates randomly without any control. The identification and control is a challenging task due to the characteristics of the Quanser servo motor. Hence a real time software is needed to controlQuanser servo motor. The dSPACE real time software was identified and found to be Suitable for the task to be done.Accurate modelling of the system is essential as the plant is used for controlling functions. Laboratory set up is establishedto find the transfer function of the Quanser servo plant modulecomprising of dSPACE , interface panel and Uninterrupted Control Unit. The UPM gives the nonstop input to the SRV02.Utilizing laboratory set up the transfer function of the SRV02 is found.In Previousresearch ,Position control was performed using PV(Proportional – Velocity), PIV(ProportionalIntegral-Velocity) controller. In this paper PIV controller is replaced with fuzzy logic controller and the response is observed.
Keyword: Quanser Servo Motor, Fuzzy Logic Controller, Dspace, PV, PIV Controller, DS1104 Interface Board, SRV02, UPM.
Scope of the Article: Fuzzy Logics