Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/91206
標題: 使用粒子群-實數編碼基因演算法之太陽能熱泵溫水供應系統PID溫度控制
PID Temperature Control Using PSO-RGA Algorithm for Warm Water Supply Systems with Solar Heat Pumps
作者: 徐紳彰
Shen-Chang Hsu
關鍵字: Solar water-source heat pump system (SWSHPS)
temperature control
PID control
particle swarm optimization (PSO)
Real-coded Genetic algorithm(RGA).
太陽能水源熱泵系統
溫度控制
PID控制
粒子群最佳化
實數編碼基因演算法。
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摘要: This thesis presents two proportional-integral-derivative (PID) control methods for a class of warm water supply system with a solar water-source heat pump for semiconductor factories and many commercial applications. The proposed temperature controller employs a single-loop and two-loop PID control strategies whose controller's parameters are off-line optimally selected by a combination of the well-known particle swarm optimization (PSO) and real-coded genetic algorithm (RGA). Both controllers are tuned by the proposed PSO-RGA method, in order to accomplish satisfactory transient responses and steady-state accuracy. Simulations and experimental results are conducted to show the effectiveness, robustness and merits of both proposed controllers via set-point tracking and parameter variations. The two-loop PID controller has a superior transient performance and smaller steady-state errors than the single-loop PID controller does. Both control strategies are shown to give satisfactory temperature control of the proposed warm water supply system.
本論文旨在針對提供半導體工廠及許多商業用途之太陽能水源熱泵溫水供應系統,使用粒子群演算法(PSO)及實數編碼基因演算法(RGA)來設計單迴路PID及雙迴路PID等兩種溫度控制策略,用以達成準確的水溫控制。溫度控制策略使用單迴路和雙迴路PID控制策略,其控制器的參數是藉由結合著名的粒子群演算法(PSO)與實數編碼演算法(RGA)在離線狀態所得到最佳化控制參數之搜尋,使該控制策略實現快速收斂和最佳控制。電腦性能比較模擬與實驗測試結果皆顯示此兩種PID控制策略對於溫水溫度設定點追蹤及強健特性皆可得到相當不錯的溫控成效與性能,而且雙迴路PID控制器可得到較好的暫態性能與較小的穩態誤差。這兩種控制策略都可以達成滿意的水源熱泵溫度控制。
URI: http://hdl.handle.net/11455/91206
其他識別: U0005-2811201416194944
文章公開時間: 10000-01-01
Appears in Collections:電機工程學系所

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