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- Title
Melt Pressure Signature Tracking Using an Adaptive Kalman Filter in Microinjection Molding.
- Authors
Hang Liu; Hong Hu; Kai Leung Yung; Yan Xu; Xing Wei Zhang
- Abstract
In order to manufacture high quality microproducts, the precision control of injected plastic melt in the injection chamber during a microinjection process requires real-time tracking of the melt pressure when the melt passes through the nozzle. A novel type of adaptive Kalman filter algorithm based on F-distribution is proposed in this paper. This adaptive Kalman filter can switch the system between the steady state and transient state by comparing the differences of input data in F-distribution. By resetting the Kalman gain and other relevant parameters, the adaptive function guarantees the convergence of the filtered signal during the tracking process and tracks the moments which sudden changes occur in the pressure signature. The simulation experiment results show that the method can reduce the effect of measurement noise more quickly and effectively. The method is proven to be effective for microinjection molding applications.
- Subjects
KALMAN filtering; MICROINJECTIONS; CHEMICAL molding; ALGORITHMS; SIMULATION methods &; models
- Publication
Advances in Mechanical Engineering (Sage Publications Inc.), 2013, Vol 5, p1
- ISSN
1687-8132
- Publication type
Article
- DOI
10.1155/2013/801964