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Magnetic Bearings Control Using Fuzzy Logic and a Single Neuron

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4 Author(s)
Zhang Danhong ; School of Automation, Wuhan University of Technology, Wuhan 430070, P.R.China. Email: zhangdh@mail.whut.edu.cn, Christint18128@163.com ; Tang Ling ; Su Yixin ; Hu Yefa

Linear controllers cannot get satisfactory results for active magnetic bearings (AMB) due to the highly nonlinear and open-loop unstable electromechanical dynamics. This paper proposes a combined controller which integrates a fuzzy logic controller (FLC) with a single neuron controller for AMB. The FLC operates with a small single neuron control component when the system error is big; the FLC and the single neuron controller operate simultaneously when the system error is small. The proposed controller overcomes the defect of the FLC which has a steady state error, and the defect of a single neuron controller which has unsatisfied dynamic performance. Simulation results demonstrate that the proposed controller has improved the dynamic performance and the disturbance rejection ability of AMB.

Published in:

2006 9th International Conference on Control, Automation, Robotics and Vision

Date of Conference:

5-8 Dec. 2006