The permanent magnet synchronous linear motor position control based on fuzzy neural network
L Cailin, W Dongmei - 2013 5th International Conference on …, 2013 - ieeexplore.ieee.org
L Cailin, W Dongmei
2013 5th International Conference on Intelligent Networking and …, 2013•ieeexplore.ieee.orgA position servo control system based on fuzzy neural network (FNN) is proposed to make
the permanent magnet synchronous linear motor (PMLSM) to track the given locus precisely.
In the proposed system, Back-Propagation (BP) neural network algorithm based on dynamic
structure is employed to change the nodes of hidden layer in learning process and improve
the system control effect. The experimental results show the position servo system has a
small overshot and good position precision.
the permanent magnet synchronous linear motor (PMLSM) to track the given locus precisely.
In the proposed system, Back-Propagation (BP) neural network algorithm based on dynamic
structure is employed to change the nodes of hidden layer in learning process and improve
the system control effect. The experimental results show the position servo system has a
small overshot and good position precision.
A position servo control system based on fuzzy neural network (FNN) is proposed to make the permanent magnet synchronous linear motor(PMLSM) to track the given locus precisely. In the proposed system, Back-Propagation (BP) neural network algorithm based on dynamic structure is employed to change the nodes of hidden layer in learning process and improve the system control effect. The experimental results show the position servo system has a small overshot and good position precision.
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