Abstract
Good control of plastic melt temperature for injection molding is very important in reducing operator setup time, ensuring product quality. Motivated by the practical temperature control of injection molding proposes a variety of controllers such as PID controllers, FLC and ANFIS based controllers in a multi model fashion. The injection molding process consists of three zones and the mathematical model for each zone is different. The control output for each zone controller is assigned a weight based on the computed probability of each model and the resulting action is the weighted average of the control moves of the individual zone controllers. The performance criteria of the different controllers are compared, and the advantages, limitations of different implementation methods are also discussed. The proposed realtime Fuzzy control for the injection molding process mainly contributes the barrel temperature control.. time.
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