Paper Title:
Fuzzy Parameters PID Control and Simulation Experiment of Permanent Magnet Linear Synchronous Motor
  Abstract

On PID control and fuzzy control in permanent magnet synchronous linear motor (PMLSM) there is some shortage. Control for linear motor characteristics of vulnerable parameter perturbation is proposed based on fuzzy self-optimizing control algorithm to reduce the dependence on the model. GA algorithm using the parameters of fuzzy algorithm self-optimizing tuning, the motor can be reduced to some extent the impact of changes in their model, and improve the control effect. Finally, Matlab simulation of the PMLSM traditional PID speed control with fuzzy parameters self-optimizing speed control comparison, the results show that the fuzzy parameters self-optimizing control is better than traditional PID control.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 8: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2608-2611
DOI
10.4028/www.scientific.net/AMR.383-390.2608
Citation
X. Y. Qin, S. Hua, "Fuzzy Parameters PID Control and Simulation Experiment of Permanent Magnet Linear Synchronous Motor", Advanced Materials Research, Vols. 383-390, pp. 2608-2611, 2012
Online since
November 2011
Authors
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Price
$32.00
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