Fuzzy Control of a Novel Type of Translational Meshing Motors

Abstract:

Owing to the nonlinear characteristic of a novel type of translational meshing motor with model uncertainties, a model reference control system which consists of a neural network and a fuzzy controller is used. The torque model is identified based on BP neural network, and then Fuzzy controller works as the controller. The description of the control system and training procedure of the neural network are given. The test results obtained for a torque control scheme suitable for the control of the motor are also presented to verify the effectiveness of the proposed nonlinear control scheme. It has been found that the fuzzy control system is able to work reliably.

• Periodical: Advanced Materials Research (Volumes 121-122)
• Pages: 1038-1043
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.121-122.1038
• Online since: June 2010
• Authors: Wei Wang, Xin Jian Shan, Shi Min Wei
• Keywords: BP Neural Network (BPNN), Fuzzy Control, Novel Type of Translational Meshing Motor, Plant Identification

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