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  • 學位論文

最佳化之自調式PI控制器

An Optimal Self-Tuning PI Controller

指導教授 : 陳金聖
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摘要


比例積分控制器為現階段工業界慣用之控制器,在各種不同的控制環境下,如何調變比例與積分兩項參數用以滿足特定之所需條件(如:最大超越量、上升時間、安定時間、穩態誤差等),一直是控制工程師所追求的一項開放性問題。本篇論文架構在定能量輸入能維持定輸出之系統下,先從能量的觀點重新詮釋比例積分控制器,進而提出一套能滿足特定條件下之自調式標準流程,並使用本文所提出之梯度二分搜尋法最佳化比例增益與積分增益。而後,分別透過兩大典型系統(溫控系統與伺服馬達速度控制系統),對提出之調整方法,進行模擬驗證:以溫控系統為例,採用耦合效應嚴重與具長延遲時間特性之射出成型機溫控模組進行驗證;而伺服馬達速度控制系統則分別對有無電流控制迴路進行比較,模擬結果顯示,本文所提出之自調式調整法,具有高度可靠性與實現性。最末,再透過一伺服馬達速度控制實驗,證實本篇所提之調整法確實可達成一最佳化之自調式PI控制器。

並列摘要


A Proportional-Integral (PI) controller is an important instrument in industry control application. In control engineering field, to find out the optimal PI parameters by observing system response is very important, especially when system model is difficult to identify exactly. Therefore, this paper proposes a self-tuning methodology with a proposed Gradient Bisection Algorithm (GBA) to achieve finding the optimal PI parameters in fixed-input sustaining fixed-output (FIFO) system. The whole tuning tactic is constructed under desired constraints (such as overshoot, occurrence times of oscillation etc) with the minimum integral absolute error (IAE). Two kinds of typical FIFO system which are thermal system and servo motor velocity control system have simulated in this paper. Besides, a servo motor velocity control experiment has also been realized. The simulation and experiment results verify that our proposed optimal self tuning methodology is a reliable and practicable way to searching the optimal PI gains under desired indexes.

參考文獻


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[3] M. S. Wang, C. M. Chang, “DSP-based adaptive fuzzy velocity/pressure control of injection molding machines”, Journal of Chinese Institute of Engineer, Vol. 30, No.5, 2007, pp. 819-827.
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[6] R. Vilanova, “IMC based Robust PID design: Tuning guidelines and automatic tuning”, Journal of Process Control, Vol. 18, 2008, pp. 61-70.

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