射出成型機的溫度控制一般都是使用比例-積分-微分自動參調整控制器(automatic tuning PID)，但在某些情況下自動參數的調整，無法滿足需求必須切換成手動調整，這有時需要耗費比較長的時間和塑膠原料。
本論文的主要目的是以系統識別的方法，找出物件的模型，再以Simulink 建立模擬系統，應用在射出成型機的溫度控制上。
系統識別是將物件視為黑盒子藉由量測輸入及輸出的資料建立物件的數學模型。建立系統模型後以模擬工具Simulink建立模擬系統方塊圖，分析系統的動態特性，驗證參數的適用性。
實驗方法將控制器經由RS232與個人電腦連線收集輸入輸出資訊，使用輸入輸出資訊以Matlab系統識別工具找出物件的模型(model)，Matlab/Simulink建立模擬系統的方塊圖，以Ziegler-Nichols 開環及閉環法找出比例-積-分微分控器的kp、ki、kd增益值，模擬並修正這些增益值，使滿足控制要求後，將模擬系統離散化，模擬由連續系統得到的增益值，確認符合控制要求。
最後以C語言依照模擬系統方塊圖撰寫程式在實際系統上驗證這些參數，實驗證明這個方法可以滿足射出成形機温度控制的要求。

The temperature control of injection machines is generally achieved by using an auto-tuning PID controller. However, auto-tuning may not meet the industrial demand in some situations. Therefore, it is necessary to switch to manual adjustment, but it will take more time and use more plastic materials.
The major objective of this thesis is to establish a mathematical model of an injection machine by applying system identification, which is implemented by the commercial software Matlab System Identification Toolbox. Based on the establish model, a controller for the temperature control can be designed, and the numerical simulation can be performed by using the software Simulink.
System identification treats a system as a black box. By conducting an experiment to record the input and output data, a mathematical model of the system can be obtained. Therefore, based on the model, the system can be systematically analyzed, and the dynamical characteristics can be obtained. Furthermore, the model can be used to predict and validate other experimental results.
The experimental work of the temperature control of the injection machine is achieved by a controller, which is connected to a personal computer via RS-232. The computer can collect all input and output data. By using the data, the system identification can be completed by using Matlab System Identification Toolbox. By applying the Ziegler-Nichols open- and closed-loop tuning methods to a PID controller, the controller gains KP, KI and KD satisfying the control requirements can be obtained by Simulink, and the block diagram is established. In order to implement the designed controller, the model and the controller are discretized, and they are simulated to validate the results.
Furthermore, the C language is used to write the programming codes based on the block diagram, and the parameters are verified by the experimental work. The experimental results reveal that the proposed approach can complete the temperature control of the injection molding machine and the design requirements can be satisfied.

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