Fuzzy Parameters PID Control and Simulation Experiment of Permanent Magnet Linear Synchronous Motor

Xiao Yu Qin; Sun Hua

doi:10.4028/www.scientific.net/AMR.383-390.2608

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Fuzzy Parameters PID Control and Simulation...

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.

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Manufacturing Science and Technology, ICMST2011

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

2608-2611

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.2608

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Online since:

November 2011

Authors:

Xiao Yu Qin, Sun Hua

Keywords:

Component, Fuzzy Control Optimization, GA Algorithm, Linear Motor, PID Control

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