Development of Electric Injection Molding Machine using High-speed Estimated Injection Pressure feedback for Super-thin Film Generation
Project/Area Number |
25420456
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Control engineering/System engineering
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Research Institution | Kagawa National College of Technology |
Principal Investigator |
URUSHIHARA SHIRO 香川高等専門学校, 電気情報工学科, 准教授 (90311092)
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Co-Investigator(Kenkyū-buntansha) |
OHISHI KIYOSHI 長岡技術科学大学, 工学部, 教授 (40185187)
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Co-Investigator(Renkei-kenkyūsha) |
MIYAZAKI TOSHIMASA 長岡技術科学大学, 工学部, 准教授 (90321413)
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | 力覚フィードバック / センサレス制御 / 高精度圧力推定 / 反力推定オブザーバ / 推定遅れの改善 / パラメータ自動切替型オブザーバ / 定常偏差の低減 / パラメータ自動切替オブザーバ / ストライベックモデル / 過渡特性の改善 / 粘弾性モデル / 摩擦フリーオブザーバ / オブザーバの低次元化 |
Outline of Final Research Achievements |
The force control system of a typical injection molding machine obtains force information from the machine's environment via a force sensor. Force sensors often have dis-advantages such as signal noise, sensor cost, and a narrow bandwidth, so the reaction force observer was developed for electric injection molding machines. This method has both a transient estimated error due to parameter variations and a steady-state error owing to the influence of nonlinear friction. To overcome the transient error, we proposed estimation method which considers the influence of injection material with automatic parameter-switching algorithm. In addition, a friction model is proposed which takes into account the stribeck effect in order to improve the steady-state error. Moreover, the availability of proposed integrated estimation algorithms sre confirmed by the simulation results using the actual measured value for super-thin film generation.
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Report
(4 results)
Research Products
(9 results)
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[Presentation] Fine Sensorless Force Control using Stribeck Model for Injection Molding Machine2014
Author(s)
Syu Iwasawa, Kiyoshi Ohishi, Yuki Yokokura, Toshimasa Miyazaki, Koichi Kageyama, Masaru Takatsu, Shiro UrushiharaSyu Iwasawa, Kiyoshi Ohishi, Yuki Yokokura, Toshimasa Miyazaki, Koichi Kageyama, Masaru Takatsu, Shiro Urushihara
Organizer
Mecatronics2014-Tokyo
Place of Presentation
Tokyo Metropolitan University
Year and Date
2014-11-27 – 2014-11-29
Related Report
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