DOIAbstract
Closed-loop control of key process variables in injection molding has become an essential part of the quality assurance system. Advanced control algorithms such as adaptive control and model predictive control have been adopted to deal with the inherent process nonlinearity and time-varying characteristics. These control algorithms are all focused on single-cycle control performance. Recently, a multicycle, two-dimensional model predictive learning control has been developed for batch process control. This method has been applied to injection molding. In this paper, the basic principles of these control algorithms are introduced, with the control performance demonstrated by injection velocity control. (C) 2009 Wiley Periodicals, Inc. Adv Po...
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