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PID Temperature Control Using PSO-RGA Algorithm for Warm Water Supply Systems with Solar Heat Pumps
|關鍵字:||Solar water-source heat pump system (SWSHPS)|
particle swarm optimization (PSO)
Real-coded Genetic algorithm(RGA).
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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.|
|Appears in Collections:||電機工程學系所|
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