Adaptive Fuzzy Logic Based Speed Control of Permanent Magnet Synchronous Motor Using FPGA

Abstract

The proposed project reveals the FPGA based Sensor-less speed control of permanent magnet synchronous motor (PMSM) by using adaptive fuzzy logic technique. The FPGA scheme integrates Fuzzy logic control technique and space vector pulse width modulation principle to control the rotor position angle and motor speed. The Back-EMF based Sensor-less algorithm combined with vector control strategy implemented to estimate rotor position and speed. This control algorithm based on estimation of rotor position and speed with respect to Back-EMF without sensor. To achieve a high performance fuzzy logic control Permanent magnet synchronous motors drive is employed. The simulation for speed control of PMSM by using fuzzy logic controller is developed using Xilinix ISE 9.1.

Authors and Affiliations

Arpudha. J Shiny

Keywords

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  • EP ID EP220454
  • DOI -
  • Views 163
  • Downloads 0

How To Cite

Arpudha. J Shiny (2014). Adaptive Fuzzy Logic Based Speed Control of Permanent Magnet Synchronous Motor Using FPGA. International journal of Emerging Trends in Science and Technology, 1(3), 393-398. https://europub.co.uk/articles/-A-220454