A Pneumatic Miniature Robotic Control System Based on Improved Single Neural Network PID Control

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At present pneumatic miniature robotic control system usually adopts PID control strategy. The basic PID control strategy has its limitations. To cope with this problem, a lot of methods to optimize this strategy have been researched. In the paper an improved single neural network PID control strategy is put forward. The control strategy is a single neuron adaptive controller with adjusting weighting coefficient. Both simulation and experimental results indicate that this scheme is a feasible control method for the 3-dof pneumatic miniature robotic control system.

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733-738

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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