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Neural Network Sliding Mode Controller for Linear Elevator Using Permanent Magnet Linear Synchronous Motor

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4 Author(s)
Qing Hu ; Sch. of Electr., Shenyang Univ. of Technol. Shenyang, Shenyang, China ; Hongxia Li ; Hiayan Yu ; Xin Zhang

In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable neural network sliding mode controller (NN-SMC) for a linear motor speed loop control is proposed. The neural network control is highly efficient for some large data sets via self-organizing, learning, and forgetting. Analysis of simulations reveals that proposed method is robust in the presence of uncertainties and bounded external disturbances.

Published in:

2009 Fifth International Conference on Natural Computation  (Volume:1 )

Date of Conference:

14-16 Aug. 2009