line tuning 中文意思是什麼

line tuning 解釋
線路調諧
  • line : n 1 線;繩索;釣絲;測深度用繩,捲尺。 a fishing line 釣魚線。 be clever with rod and line 會釣魚...
  • tuning : n. 1. 【音樂】調音[弦]。2. 【無線電】調諧;收聽。
  1. They are tuning up a plane on the flight line

    他們正在機場的保養場調試一架飛機。
  2. The model - free pid control method with neuron tuning gain and the neuro - fuzzy control method for a constant cutting force metal turning process system are proposed. the former method keeps the cutting force to be constant by using the neuron to change the pid controller gain on - line. the latter method construct the fuzzy neuron controller by combing the fuzzy controller and the neuron controller

    針對具有非線性和不確定性的機械加工切削過程,提出了神經元增益自整定的pid控制方法和模糊神經元非模型控制方法,前者採用神經元來在線調整pid控制器的增益,後者將模糊控制器和神經元控制器相結合構成模糊神經元控制器,這樣當對象特性隨切削深度的變化而變化時,所設計的控制器能保持切削力恆定,使系統穩定並具有滿意的動態品質。
  3. Simple gain tuning built - in 10 levels of system stiffness and on - line off - line auto gain tnuing notch filter

    內建十個等級剛性表,且具備on - line off - line自動增益調校
  4. Control system of entirety straight line wire drawing machine without tuning roller

    無調節輥完全直進式拉絲機控制系統
  5. In chapter four, problem about parameters of gpc on - line tuning in frame of satisfactory control is researched, and a satisfactory model for multi - parameters on - line tuning is defined, and proposed a formula based on grade conception and one - dimension searching method. it ' s shown that the system ' s performance can be improved by this approach

    對多參數調整優化問題給出了滿意優化模型,並且對由此形成的多變量尋優問題引入了梯度的概念和一維搜索的方法給出了該多參數尋優問題求解迭代公式的杜十模糊btai與模糊約柬的浦意優化控制向量形式。
  6. Presently, most microcomputer governors adopt pid control law. the traditional pid control law cannot deal with the conflicts of stability, accuracy and speediness. so parameters auto - tuning on - line must be adopted if stable operations under all conditions wanted to be guaranteed

    目前的水輪機微機調速器普遍採用pid調節規律,傳統的pid控制無法解決穩定性、準確性和快速性之間的矛盾,要保證系統在各工況下穩定運行,必須採用參數在線自整定技術。
  7. The tapped line input output block with compact structures and flexible design method, was studied by many designers in the sixties and seventies of last century. but it is because the weak precision, hard tuning and long design period of traditional equivalent circuit method influences the development and wide use of this block

    抽頭式輸入輸出單元,以其緊湊的結構形式,靈活的設計方法,早在上世紀六七十年代就被許多人員研究,但是由於等效電路法分析該單元的精度較差、調試難度大、研製周期長等原因,影響了抽頭式微波濾波器的廣泛應用。
  8. In this thesis, two on - line algorithms for providing qos tuning at the intermediate nodes are proposed

    本論文中提出兩種線上演演算法,目的在中間點上作調整以提供有保證的服務品質。
  9. Based on compensation control thought, through using neural network pid controller as compensation tache of traditional pid controller, a kind of hybrid pid controller is designed. combined with neural network, self - tuning control can realized better control over non - linear system. utilizing the advantages of fuzzy control and neural network control, a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line. at last, the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized. the simulation results show that it has better performance than traditional pid controller. at the same time, it provides some reference for the control of other similar systems

    在此基礎上,基於補償控制思想,利用神經pid對傳統pid進行補償,設計了一種混合pid控制器;神經網路與自校正控制的結合,使得自校正方法能對非線性系統實現比較理想的控制效果;利用模糊控制與神經網路控制各自的優點,提出了一種基於快速bp演算法的神經網路自適應模糊控制器,能夠對系統進行在線控制。最後將混合pid控制應用於h型鋼連軋機張力系統中,實現微張力控制,模擬結果說明其較傳統pid具有更好的性能,同時也為其它類似系統的控制提供一些參考。
  10. ( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems. two types of drnn controllers are designed using the experimental samples, which are named the open - loop controller and the close - loop controller respectively. the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy

    6 .本文對基於神經網路的非線性動態系統自適應控制方法進行了深入研究,利用實驗輸入輸出數據離線設計了動態遞歸神經網路開環、閉環控制器,並分別採用基於神經網路的直接自校正控制方法與基於神經網路的間接自適應控制方法對彈性連桿機構實施了在線控制。
  11. The result shows that, the size of the coupling port has strong influence on the external quality factor of the output cavity, while the size of the coupling line and the capacitive metal rods mainly affect the tuning frequency of cutoff waveguide filter

    另外,由於耦合接頭相當于在截止段中引人了一個附加電感,這使濾波器諧振電路的品質因數變大,諧振峰變窄。
  12. The control object that characterize the phase lag resemble resistance furnace adopt intelligent pid control. the control parameter is self - tuning, not artificially tune off line. furthermore, it heightens the automatization degree of system and the control precision

    針對電阻爐這樣的具有滯后特性的控制對象採用了智能pid控制器, pid的控制器的參數由系統自整定,而不是離線後由人工整定,提高了系統的自動化程度,而且控制精度也有很大的提高。
  13. Neural - net - based self - tuning predictive control for cross direction distribution of a polyster film and sheet spread line

    滌綸片基拉膜生產線橫向分佈神經網路自校正預測控制
  14. Command - line utility to start the tuning session and begin the workload analysis

    命令行實用工具啟動優化會話並開始工作負荷分析。
  15. This paper focuses on the research of fuzzy control, especially rule self - adjusting fuzzy control method. by theoretic analysis and simulations, the influences of parameters and system performance characteristic of some kinds of rule on - line self - regulating fuzzy control methods are discussed, and a novel real - time self - adjusting fuzzy control method ( vsrsafc ) is proposed from the diagrammatic point of view. in vsrsafc, the slope of the rectifying curve of rule scaling factor a is altered by the fine - tuning and coarse tuning combined mechanism to adjust the fuzzy control rules according to error e and error change ec, which more coincides with characteristic of system response than the conventional self - adjusting method that adjusts rule scaling factor only according to the error e, and has better static and dynamic performances than the latter

    其中變斜率規則自調整模糊控制的效果較為明顯,它是基於插值的非線性規則自調整模糊控制的引申以及常規全論域規則自調整模糊控制的改進,該方法採用粗、細調結合機制,通過改變規則調整因子的修正曲線斜率,使系統同時根據誤差e以及誤差變化ec在線調整模糊控制規則,比傳統的僅基於系統誤差e的自調整方法更符合系統響應特性,可獲得更好的動靜態控制性能,特別是對于系統參數發生改變、控制參數選取不當等不良狀況,控制器仍能較快自調整,具有較強的在線自適應能力。
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