Neural network generalized inverse of multi-motor synchronous system working on vector control mode

Authors:
Ding Jin-lin;Wang Feng
Affiliations:
Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu, China;Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

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Abstract

Multi-motor synchronous system is a multi-input multi-output, nonlinear and high coupling control system. The neural network generalized inverse system can realize the linearization and decoupling of the nonlinear control. Local minima, irrationality learning rate and over learning easily occur in traditional feedforward neural networks. To overcome the problems, it put forward a single hidden-layer feedforward neural network system (SLFNs) and constructed the two-motor synchronous combined system based on the SLFNs generalized inverse. The experimental results prove that the method can realize decoupling and the decoupling linearization subsystems are open-loop stability.