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신경회로망을 이용한 서보 실린더의 운동제어Motion Control of Servo Cylinder Using Neural Network

Other Titles
Motion Control of Servo Cylinder Using Neural Network
Authors
황운규조승호
Issue Date
2004
Publisher
대한기계학회
Keywords
Neural Network(신경회로망); Servo Cylinder(서보 실린더); PD-NN Control(PD-NN 제어); Self-Excited Oscillation(자려진동)
Citation
대한기계학회논문집 A, v.28, no.7, pp.955 - 960
Journal Title
대한기계학회논문집 A
Volume
28
Number
7
Start Page
955
End Page
960
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/26306
ISSN
1226-4873
Abstract
In this paper, a neural network controller that can be implemented in parallel with a PD controller is suggested for motion control of a hydraulic servo cylinder. By applying a self-excited oscillation method, the system design parameters of open loop transfer function of servo cylinder system are identified. Based on system design parameters, the PD gains are determined for the desired closed loop characteristics. The Neural Network is incorporated with PD control in order to compensate the inherent nonlinearities of hydraulic servo system. As an application example, a motion control using PD-NN has been performed and proved its superior performance by comparing with that of a PD control.
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College of Engineering > Department of Mechanical and System Design Engineering > 1. Journal Articles

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