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題名 | 直接類神經網路控制器應用於節能空調系統=The Direct Artificial Neural Controller Applied to Energy-saving Air Conditioner Systems |
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作者姓名(中文) | 陳之維; 曾國隆; 謝建新; 朱明輝; | 書刊名 | 東南學報 |
卷期 | 35 2010.07[民99.07] |
頁次 | 頁197-206 |
分類號 | 446.6 |
關鍵詞 | 直流無刷馬達; 速度控制; 類神經網路; 節能空調系統; Brushless DC motor; Speed control; Neural networks; Energy-saving air conditioner systems; |
語文 | 中文(Chinese) |
中文摘要 | 摘 要 近年來為了達成節能功能,交流變頻器專用馬達與壓縮機有效整合應用於 空調系統。但是經由變頻器驅動馬達使用在低轉速的範圍時, 馬達溫度上 升造成動力效率降低, 節能效果降低。採用直流無刷馬達與壓縮機整合應用於 空調系統則在廣寬速度範圍操作下沒過熱的疑慮, 節能效果優於交流變頻空調 系統。本文採用特定學習架構之直接類神經網路控制應用於直流無刷馬達(BLDC)節 能空調系統,控制馬達運轉速度具有快速反應,優於交流變頻空調系統。本文應用輸 入命令與受控系統輸出誤差及誤差微分之線性組合近似線上訓練所須之倒傳遞誤差項 (BPE),不須估測受控系統靈敏度,可以免於建立受控系統數學模型及模擬器 (emulator),且加快神經鍵加權值之收斂速率。本文以數值模擬證明前述方法應用於 BLDC 節能空調系統具有良好效果。 |
英文摘要 | ABSTRACT Recently years, the specified AC driver droved by an electrical inverter has been widely used to air conditioner systems for energy saving. But the AC driver will generate high heat dissipation and induce high operating temperature in low speed operation conditions. This will decrease the energy saving efficiency. The air conditioner compressors droved by a Brushless DC motor (BLDC motor) will improve the high heat generation problem in wide operation speed. The DC drivers have better energy saving efficiency. This study utilizes the direct neural control based on the self-tuning control strategy applied to energy saving air conditioner, and the back propagation error (BPE) is approximated by a linear combination of error and error’s differential, so that it is not necessary to build the neural emulator to estimate the Jacobian of plant. By this method, and the speed performance of the BL compressor isbetter than that with a conventional PID control system. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。