Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
공압 서보실린더의 신경회로망 결합형 적응제어Adaptive Control Incorporating Neural Network for a Pneumatic Servo Cylinder
- Other Titles
- Adaptive Control Incorporating Neural Network for a Pneumatic Servo Cylinder
- Issue Date
- 2005
- Publisher
- 대한기계학회
- Keywords
- Model Reference Adaptive Control; Neural Network; Pneumatic Servocylinder; Trajectory Tracking Control; Model Reference Adaptive Control; Neural Network; Pneumatic Servocylinder; Trajectory Tracking Control; 모델기준 적응제어; 신경회로망; 공압 서보실린더; 궤적추적제어
- Citation
- 대한기계학회논문집 A, v.29, no.1, pp.88 - 95
- Journal Title
- 대한기계학회논문집 A
- Volume
- 29
- Number
- 1
- Start Page
- 88
- End Page
- 95
- ISSN
- 1226-4873
- Abstract
- This paper presents a design scheme of model reference adaptive control incorporating a Neural Network for a pneumatic servo system. The parameters of discrete-time model of plant are estimated by using the recursive least square method. Neural Network is utilized in order to compensate the nonlinear nature of plant such as compressibility of air and frictions present in cylinder. The experiment of a trajectory tracking control using the proposed control scheme has been performed and its effectiveness has been proved by comparing with the results of a model reference adaptive control.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.