Development of Electric Injection Molding Machine using High-speed Estimated Injection Pressure feedback for Super-thin Film Generation

2015 Fiscal Year Final Research Report

• Project/Area Number: 25420456
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Control engineering/System 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): OHISHI KIYOSHI 長岡技術科学大学, 工学部, 教授 (40185187)
• Co-Investigator(Renkei-kenkyūsha): MIYAZAKI TOSHIMASA 長岡技術科学大学, 工学部, 准教授 (90321413)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 力覚フィードバック / センサレス制御 / 高精度圧力推定

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.

Free Research Field

電気電子工学