A Multivariable Self-Tuning Controller for Injection Molding Machines

The stochastic dynamic characteristics of an injection molding machine are discussed and the mainly controlled parameters of the process are determined. A multivariable self-tuning controller with explicit method for this dynamic system is then proposed. The effectiveness of the controller is proved by the corresponding computer simulation. On the basis of on-line adjusting function for the weighting matrices of the cost functions found in the simulation, an artificially intelligent self-learning level is recommended as an updated addition to the controller for supervision and coordination.