Abstract
The rapid progress of micro-processing techniques enables us to use intelligent control algorithms of high level for complex systems by using micro-computers. The heating cylinder for plastic molding is one of those complex systems which is required to control the temperature as precise as possible.In this paper an adaptive temperature control method is proposed to improve performance of the temperature control system for the heating cylinder. This method is based on the multivariable self-tuning control (STC) theory. The temperature control system contains three heaters and three sensors. The unknown parameters in the equation are identified by the least squares estimation method. We obtain a minimum-phase model for the heating cylinder by tuning the value of the time delay contained in the identified model. The adaptive controller has been constructed for the identified system by STC theory. Some experimental results are illustrated to show that the STC method is effective in comparison with a conventional method by PID Controller and Ziegler-Nichols method.
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