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The Artificial Neural Networks Applied to Temperature Control for Vehicle Air-conditioning Systems

類神經網路控制應用於車輛空調系統溫度控制

摘要


本研究建立車輛空調系統動態模型,應用模式參考類神經網路應用於車輛空調系統溫度控制。為改善低載馬達溫度上升問題,採用直流無刷馬達(BLDC)驅動壓縮機應用於變冷媒流量(VRF)空調系統,藉由改變壓縮機轉速改變冷媒流量達成節能功能,本研究建立車輛空調系統動態模型。模擬結果顯示溫度反應追隨參考模式,可以達成穩定溫度反應,改善適應性,溫度反應結果優於傳統PID控制。

並列摘要


A model reference neural controller is proposed and applied to control the temperature for air-conditioning system (A/C) of vehicle. The compressors with a brushless DC (BLDC) driver used to drive the compressor provides variable refrigerant flow (VRF) by changing the speed of compressor for energy saving. The BLDC driver will improve the high heat generation problem in low load operation conditions. In this paper, the dynamic model of vehicle A/C system is built and the simulation results of proposed method show the time response of temperature will follow the responses of the reference model with better adaptability than the conventional PID control.

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