Position Synchronization of the Biaxial System with a PID Neural Networks Control

Wang Yong He; Cong Qiu; Jia He

doi:10.4028/www.scientific.net/AMM.462-463.766

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 462-463Position Synchronization of the Biaxial System...

Position Synchronization of the Biaxial System with a PID Neural Networks Control

Abstract:

A new control algorithm based on incorporating proportion integration differentiation (PID) neural networks into cross-coupling technology is developed for position synchronization of biaxial system. The PID neural networks controller is be used to adjust control value injecting two velocity loops of the biaxial system.The learning algorithm of PID neural networks is demonstrate in theory. It is tested by simulation that the proposed control scheme can guarantee the stability and the effectiveness of the biaxial control system.The simulation results show that synchronization error is reduced to 35um from 56um.

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Periodical:

Applied Mechanics and Materials (Volumes 462-463)

Pages:

766-770

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.462-463.766

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Online since:

November 2013

Authors:

Wang Yong He*, Cong Qiu, Jia He

Keywords:

Biaxial System, Proportion Integration Differentiation Neural Networks, Simulation, Steepest Descent Method, Synchronization Error

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