射出成型機加熱料管之自調整PID溫度控制

Self-Tuning PID Temperature Control for Plastic Injection Molding Processes

本文提出塑膠射出成型機之自調整PID溫度控制之設計與實現。此研究是基於小波模糊類神經網路來設計自調整比例積分微分PID控制器，採用的小波模糊類神經網路是用來建構該射出成型機加熱料管其多變數受控系統的數學模型，並經由廣義預估性能指標來推導出本文所提之自調整PID控制法則。PC-based控制器實現射出成型機加熱料管之自調整PID溫度控制系統，經實驗結果顯示所提自調整PID溫度控制器擁有著令人滿意的溫控值追蹤能力。
This report presents a self-tuning proportional-integral-derivative (PID) controller based on wavelet fuzzy neural networks (WFNNs) for plastic injection molding processes. A mathematic model using WFNN is constructed for the controlled nonlinear multivariable system, and the self-tuning PID controller is derived via a generalized predictive performance criterion. The illustrative nonlinear multivariable system is used to demonstrate the effectiveness of the proposed strategy. The PC-based controller is used to implement a self-tuning PID temperature control system for plastic injection molding process. The experiment shows that the proposed self-tuning PID temperature control method has the satisfying temperature performance under set-point changes.