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Higashimurayama-shi, Japan

Furusawa R.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno CO. | Takatsu M.,Niigata Machine Techno CO.
Proceedings - ISIE 2011: 2011 IEEE International Symposium on Industrial Electronics | Year: 2011

Currently, most plastic products are manufactured by using injection molding machines. The quality of plastic products depends largely on the injection force. In a typical force control system of an injection molding machine, force information from the machine environment is obtained by a force sensor. However, force sensors have a few disadvantages in terms of signal noise, sensor cost and narrow bandwidth. So, a sensor-less force detection method is desirable for electric injection molding machines. 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. This paper proposes a new injection force estimation method based on a proposed high-order reaction force observer (HORFO), which is not influenced by the nonlinear friction phenomenon significantly. This paper evaluates the possibility and versatility of the proposed sensor-less force control system by using proposed HORFO through experiments. © 2011 IEEE. Source


Furusawa R.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Kageyama K.,Niigata Machine Techno CO. | Takatsu M.,Niigata Machine Techno CO.
International Workshop on Advanced Motion Control, AMC | Year: 2012

Currently, most plastic products are manufactured using injection molding machines. The quality of products produced this way depends largely on the injection force. In the force control system of a typical injection molding machine, force information from the machine's environment is obtained by a force sensor. However, these sensors have several disadvantages, which include signal noise, sensor cost, and a narrow bandwidth. Thus, sensorless force detection methods are desirable. The use of a reaction force observer, based on the two-inertia resonant model, has been proposed. However, this method is inaccurate due to the influence of nonlinear friction phenomenon. We have previously proposed a new injection force estimation method based on a high-order reaction force observer (HORFO), which is not significantly influenced by the nonlinear friction phenomenon. In this paper, an automatic parameter-switching HORFO (APS-RFO) is proposed to improve the estimation accuracy of HORFO. Moreover, this paper evaluates the possibility of a sensorless force control system using the proposed APS-RFO. © 2012 IEEE. Source


Iwasawa S.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Yokokura Y.,Nagaoka University of Technology | Miyazaki T.,Nagaoka University of Technology | And 2 more authors.
10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 | Year: 2015

Injection molding is a common method for producing various resin products. The force control system of a typical injection molding machine obtains information about the force from the environment of the machine via a force sensor. However, because a force sensor often has disadvantages such as signal noise, high cost, and narrow bandwidth, a reaction force observer has been developed for electric injection molding machines. The high-order reaction force observer (HORFO) is developed which includes a friction compensation element and uses the dither signal insertion method. However, the static frictional force and dynamic friction force have been not considered in this reaction force estimation observer, and accurate force control is difficult because of estimation error. In this paper, we propose a new friction model that takes into account the stribeck effect in order to improve the estimation error problem in force sensorless estimation. In addition the effectiveness of the proposed method is investigated in actual experiments using an injection molding machine. © 2014 IEEE. Source


Furusawa R.,Nagaoka University of Technology | Asai T.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Majima K.,Niigata Machine Techno CO. | And 2 more authors.
IECON Proceedings (Industrial Electronics Conference) | Year: 2010

Currently, most plastic products are manufactured using injection molding machines. The quality of plastic products depends largely on the injection force. in a typical force control system of an injection molding machine, force information from the machine environment is obtained by a force sensor. However, force sensors have a few disadvantages in terms of signal noise, sensor cost, narrow bandwidth, etc. 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. This paper proposes a new injection force estimation method based on a proposed high-order reaction force observer, which is not influenced by the nonlinear friction phenomenon significantly. This paper evaluates the effectiveness and the sensorless feedback control of the proposed method through experiments. © 2010 IEEE. Source


Furusawa R.,Nagaoka University of Technology | Asai T.,Nagaoka University of Technology | Ohishi K.,Nagaoka University of Technology | Majima K.,Niigata Machine Techno CO. | And 2 more authors.
IEEJ Transactions on Industry Applications | Year: 2011

Currently, most of the plastic products are manufactured by using injection molding machines. The quality of the products depends largely on the injection force. In a typical force control system of an injection molding machine, the information about the force in the machine environment is obtained by a force sensor. However, force sensors have a few disadvantages such as signal noise, high sensor cost and narrow bandwidth. We have proposed the use of a reaction force observer based on the two-inertia resonant model. However, this method has some estimated error caused by a static friction in the holding process and a Coulomb friction in the screw back-pressure process. The estimation accuracy of the reaction force observer depends on parameter variations and the non-linear friction phenomenon. This paper proposes a new injection-force-estimation method based on the proposed high-order reaction force observer (HORFO), which is not influenced significantly by the nonlinear friction phenomenon. The effectiveness of the proposed method is confirmed by experimental results. © 2011 The Institute of Electrical Engineers of Japan. Source

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