Research on Motion Control System of Clamping Thin-Walled Tube Based on PID Neural Network

Abstract:

As for the shortcomings of poor rigidity and strength of weak of thin-walled tube parts, a device of an adaptive PID controller which based on neural network has been proposed by regarding the thin-walled tube fixture system as the research object. The controller which integrates the characteristics of neural network and PID regulator can realize the self-tuning of PID parameters effectively and make the control system equip with the feature of fast response, small overshoot and strong robustness etc. Simulation results show that the controller can meet the system requirements commendably and it can implement the automatic chucking control of the thin-walled steel cutting process with fast and non-destructive in the experimental prototype.

• Periodical: Key Engineering Materials (Volumes 579-580)
• Pages: 670-674
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.579-580.670
• Online since: September 2013
• Authors: Chu Xiong Xie, Chun Fu Gao, Xin Sheng He, Zuo Cai Dai
• Keywords: Clamping Thin-Walled Tube, MATLAB Simulation, Neural Network (NN), PID

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