신경회로망을 이용한 공압 서보실린더의 운동제어Motion Control of Pneumatic Servo Cylinder Using Neural Network
- Other Titles
- Motion Control of Pneumatic Servo Cylinder Using Neural Network
- Authors
- 조승호
- Issue Date
- 2008
- Publisher
- 한국정밀공학회
- Keywords
- Neural Network (신경회로망); Pneumatic Servo Cylinder (공압 서보실린더); Reference Model (기
준모델); Self-excited Oscillation Method (자려식 진동방법); Equivalent Time Constant (등가시상
수)
- Citation
- 한국정밀공학회지, v.25, no.2, pp.140 - 147
- Journal Title
- 한국정밀공학회지
- Volume
- 25
- Number
- 2
- Start Page
- 140
- End Page
- 147
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/23335
- ISSN
- 1225-9071
- Abstract
- This paper describes a Neural Network based PD control scheme for motion control of pneumatic servo cylinder. Pneumatic systems have inherent nonlinearities such as compressibility of air and nonlinear frictions present in cylinder. The conventional linear 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. Based on the parameters thus identified, a PD feedback compensator is designed first and then a neural network is incorporated. 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 PD control.
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Collections - College of Engineering > Department of Mechanical and System Design Engineering > 1. Journal Articles
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