饋帶機構 的英文怎麼說

中文拼音 [kuìdàigòu]
饋帶機構 英文
tape feed
  • : 動詞(饋贈) make a present of
  • : machineengine
  • : Ⅰ動詞1 (構造; 組合) construct; form; compose 2 (結成) fabricate; make up 3 (建造; 架屋) bui...
  • 機構 : 1 [機械工程] (機械的內部構造或一個單元) mechanism 2 (機關; 團體) organ; organization; institu...
  1. On this subject, chen wenxiang ' s using feedback servo mechanism to scale - up the measurement range on the shift by hore sensor and chen dongjun ' s study of a kind of hore shift sensor with feedback servo mechanism have achieve the rudimental results. it shows that using self - tracking or servo system to scale - up the measurement range of the hore sensor is reasonable

    在這項研究工作上,陳文薌《採用反隨動擴大霍爾傳感器位移測量范圍》 、陳東軍《一種有反隨動的霍爾位移傳感器研究》已經取得了初步的成果,他們的成果表明採用隨動擴大霍爾元件的測量范圍是有效可行的。
  2. Some research about sensorless control of induction motors in recent years has been introduced in chapter one. in chapter two, a field - oriented control system with current regulator and voltage source inverter ( vsi ) is presented firstly, which is proved in theory that the voltage feed - forward decoupler can be omitted, the good decoupled control properties of flux current and torque current is also validated by experiments with speed - sensor based on f240dsp real system

    論文第二章從異步電的基本數學模型入手,介紹了一種基於轉子磁場定向的電流內環控制的電壓型逆變器輸出閉環矢量控制結,在理論上證明了該模型可省略電壓前解耦環節,採用f240dsp晶元建的速度傳感器實驗系統驗證了其定子電流勵磁分量和轉矩分量有良好的解耦控制特性。
  3. This algorithm recovers the absence of the empiric in the case of the fixed - topology network and generates an optimal topology automatically. we end this chapter with some problems in the future. in chapter 2, we present an evolution strategy to infer fuzzy finite - state automaton, the fitness function of a generated automaton with respect to the set of examples of a fuzzy language, the representation of the transition and the output of the automaton and the simple mutation operators that work on these representations are given

    目前,國內外對神經網路與自動的結合的研究己取得了一系列成果;在第一章,我們首先將對這些結果以及這個領域的研究思想與方法做一個概要的介紹;然後提出一種推導模糊有限狀態自動造性演算法,解決了模擬實驗中所給出的具體網路的隱藏層神經元個數的確定問題;在實驗中,我們首先將樣本輸入1個隱藏層神經元的反網路訓練, 150個紀元以後增加神經元,此時的新網路在124紀元時收斂;而blanco [ 3 ]的固定性網路學習好相同的樣本需要432個紀元。
  4. In view of the problem of bandwidth constraints in networked control systems, a kind of stochastic communication logic based on states of systems is proposed, which is built on a state dependent poisson process and applied in common structure of states - feedback networked control systems

    摘要針對網路控制系統的寬約束問題,提出一種基於系統狀態的狀態依賴泊松過程決定的隨通信邏輯,並將其應用於一般結的狀態反網路控制系統。
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