Establishment and Verification of Force Control System Design Methodfor High-performance Injection Molding Ultracompact Machine without Force Sensor
Project/Area Number |
22560441
|
Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Control engineering
|
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)
|
Co-Investigator(Kenkyū-buntansha) |
大石 潔 長岡技術科学大学, 工学部, 教授 (40185187)
|
Project Period (FY) |
2010 – 2012
|
Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2010: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
Keywords | 制御システム / センサレス力覚フィードバック / 電動射出成形機 / 力覚推定アルゴリズム / 協調マルチ力覚制御系 |
Research Abstract |
We have proposed the use of a reaction force observer based on the two-inertia resonant model. However, this method has some estimated error because of the influence of nonlinear characteristics of the holding process and the screw back-pressure process. The estimation accuracy of the reaction force observer depends on parameter variations and the non-linear friction phenomenon. In the holding process, the influence of static friction is reduced by inserting a small-amplitude periodical signal in the force command value so as to improve the estimation accuracy. Further, when the injection material changed, it has a potential to affect the estimation accuracy. In this research, we propose a new injection force estimation method which considers the influence of injection material. Moreover, the availability of proposed method is confirmed by the simulation results using the actual measured value.
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Report
(4 results)
Research Products
(17 results)