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標題: 使用粒子群-進化規劃演算法之熱泵乾燥機PID溫度控制
PID Temperature Control Using PSO-EP Algorithm for Water Source Heat Pump Dryer
作者: 蘇振泰
Su, Chen-Tai
關鍵字: 粒子群-進化規劃演算法;PSO-EP Algorithm
出版社: 電機工程學系所
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This thesis presents methodologies and techniques to design and implement two PID temperature controllers for a water-source heat pump dryer using particle swarm optimization-evolutionary programming (PSO-EP) algorithm, in order to achieve fast tracking and performance optimization. The first temperature controller employs a single-loop PID control strategy whose three-term parameters are off-line tuned using the proposed PSO-EP algorithm, whereas the second temperature controller uses a cascaded PID structure whose two sets of three-term parameters are also off-line searched by the same PSO-EP algorithm. In comparison with the first temperature controller, the second temperature control strategy using the cascaded PID structure not only retains the benefits of the first controller but also has better properties of robustness and disturbances rejection. Simulations and experimental results are conducted to show the effectiveness and merits of both proposed controllers via set-point tracking and disturbance rejection, and, furthermore, the cascaded PID controller has a faster transient response and a less steady-state error.
其他識別: U0005-2108201301015500
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