Research on Direct Torque Control Adaptive Fuzzy Neural Network Controller of Permanent Magnet Synchronous Motor

Abstract:

Has the advantages of quick response of PMSM using the method of DTC, but will make the high torque and big magnetic flux linkage ripples. In order to solve this problem, using the fuzzy neural network hybrid system to replace the traditional hysteresis controller, Strong learning ability and fuzzy logic in handling uncertain information has the adaptive ability of neural network, the fuzzy neural network hybrid system to produce the expected voltage vector, the speed of a smooth transition of permanent magnet synchronous motor. The proposed method is validated by simulation under external disturbances in motor is very effective to reduce the ripple of torque and flux, the speed of the fast response and smooth transition.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 2815-2819
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.2815
• Online since: July 2014
• Authors: Chao Fan Lu*, Hong Bin Yu
• Keywords: Direct Torque Control (DTC), Fuzzy Neural Network (FNN), Permanent Magnet Synchronous Motor (PMSM)

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