查詢結果分析
來源資料
頁籤選單縮合
題 名 | G.A.模糊控制器實現於並聯式混合式動力機車電能控制系統=Genetic Algorithm Fuzzy Controller of Electric Energy Control System for Parallel Hybrid Power Motorcycle |
---|---|
作 者 | 戴瑞言; | 書刊名 | 台電工程月刊 |
卷 期 | 660 2003.08[民92.08] |
頁 次 | 頁120-132 |
分類號 | 448.942 |
關鍵詞 | 遺傳基因演算法模糊控制; 混合型充電控制系統; 殘電量; Genetic algorithm fuzzy control; Hybrid charging control system; State of charge; |
語 文 | 中文(Chinese) |
中文摘要 | 本論文運用遺傳基因演算法改善模糊邏輯控制器應用在並聯式混合動力機車之24 伏特交流發電動上,來提高其發電機的效能,在更符合電瓶的實際的需求的前提下,利用遺 傳演算法設計改善模糊控制器,使模糊控制器更加精簡有麥率,其模糊控制器依照電瓶殘電 量,利用邏輯決策判斷給予發電最佳激磁電流;使電瓶保持在最高工作效率和延長其使用壽 囹。本論文設計了一個新式的車輛充電控制系統,即是混合型充電控制系統。控制器主要包 括二個系統,其中G.A.模糊控制器為主系統,而全晶體控制電路為次系統。電能控制系統在 發電機主系統運作時,其效能發揮至最高,在主系統不正常運作時,其次系統會支援主系 統,故其發電機不會因為主控制機械異常而無法正常發電,使電能控制系統可隨時保持在最 佳狀況。 |
英文摘要 | This paper is mainly to introduce how to apply Genetic Algorithm to improve fuzzy logic controller of alternator of Parallel Hybrid Motorcycle to elevate the efficiency of its generating. According to the state charge of battery, use Genetic Algorithm to improve fuzzy controller, make fuzzy controller simplified the efficiency more. It is used to logic decision judges offer the generator with the optimal exciting current, so that the battery can be kept at the highest working efficiency all the time to extend its life. The new charging control system is displayed in this paper. The new type system is a hybrid charging control system. This controller include mainly two systems: the primary system is G.A. fuzzy controller and the secondary system is the transistor control circuit. Electric energy control in primary system kept at the highest working efficiency. If it is abnormal, then the secondary system immediately support to the primary system. As a result, the generator can still normally work even when the exciting controlling system is faulty order. Meanwhile, drivers can be reminded of the generating condition of their generators so as to keep the electric energy control system in excellent conditions. |
本系統中英文摘要資訊取自各篇刊載內容。