Stator Resistance Identification and Simulation Analysis Based on Fuzzy Logic

Abstract:

To improve the speed sensorless speed control system’s performance, this paper analyzes the rotor flux and speed estimation principle based on MRAS. On this basis, a new online identification method of induction motor stator resistance based on fuzzy logic is proposed. This method takes rotor flux and stator current vector as input and the stator resistance changes as the output. In the simulation environment, we compare the speed waveforms after the increase of stator resistance identification and conduct simulation to the identification effect when doubling the original value of stator resistance suddenly. The experiments show that the method has simple structure, high reliability, low computational complexity and obvious ability to identify the stator resistance changes, and besides, it can significantly improve the speed control system performance.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 1146-1150
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.1146
• Online since: July 2014
• Authors: Qing Tian, Jun Ling Zhu*
• Keywords: Fuzzy Logic, MRAS, Stator Resistance, Vector Control (VC)

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