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http://dx.doi.org/10.3795/KSME-A.2006.30.2.105

Neural Network Based PID Control for Pneumatic NC Axes  

Park, Lae-Seo (홍익대학교 대학원 기계공학과)
Cho, Seung-Ho (홍익대학교 기계 시스템디자인공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.30, no.2, 2006 , pp. 105-111 More about this Journal
Abstract
This paper describes a Neural Network based PID control scheme for pneumatic NC axes. Pneumatic systems have inherent nonlinearities such as compressibility of air and nonlinear frictions present in cylinder. The conventional PID controller is limited in some applications where the affection of nonlinear factor is dominant. A self-excited oscillation method is applied to derive the dynamic design parameters of linear model. The gains of PID controller are determined using a self tuning scheme. The experiments of a trajectory tracking control using the proposed control scheme are performed and a significant reduction in tracking error is achieved by comparing with those of a PID control.
Keywords
Neural Network; Rodless Pneumatic Cylinder; Reference Model; Self-tuning PID Algorithm;
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