校正控制 的英文怎麼說

中文拼音 [jiàozhēngkòngzhì]
校正控制 英文
calibration control
  • 校 : 校名詞1. （學校） school 2. （校官） field officer3. （姓氏） a surname
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 控 : 動詞1 （告發;控告） accuse; charge 2 （控制） control; dominate 3 （使容器口兒朝下 讓裏面的液體慢...
  • 制 : Ⅰ動詞1 （製造） make; manufacture 2 （擬訂; 規定） draw up; establish 3 （用強力約束; 限定; 管束...
  • 校正 : check; correction; adjust; revise; proofread and correct; rectify; calibrate; make true; master c...
  • 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
  1. A generalized minium variance pole assignment pid self - tuning controller can be used for the system with gentle time - varying delay. the controller algorithm is simplified. its effectiveness has been shown in many simulation uses

    在考慮系統時滯特性的情況下，提出了適合一類時滯系統的廣義最小方差極點配置自校正控制器，並對控制器演算法進行了簡化，使該控制器簡單易行，適應性強，模擬結果表明它的有效性。
  2. In this paper, we derive predictive models of system and auxiliary system from double constant alterations respectively. the controller based on d - step ahead predictor can locate the closed loop poles at desired positions, whose parameters are adjusted by estimations of plant parameters that are separately estimated. an auxiliary estimator is developed to avoid ill - condition in solving diophantine equation. simulations show that these control systems have better dynamic responses under existence of measurable disturbance

    引入雙恆等變換推導出系統及輔助系統的的d步預測模型，基於估計器的自校正控制器能將閉環極點配置在所希望的位置，它的參數是由與其相互獨立的對象參數調節.提出使用輔助估計器克服丟番方程的病態問題.模擬表明在存在可測干擾的情況下該系統具有良好的動態性能
  3. Abstract : in this paper, we derive predictive models of system and auxiliary system from double constant alterations respectively. the controller based on d - step ahead predictor can locate the closed loop poles at desired positions, whose parameters are adjusted by estimations of plant parameters that are separately estimated. an auxiliary estimator is developed to avoid ill - condition in solving diophantine equation. simulations show that these control systems have better dynamic responses under existence of measurable disturbance

    文摘:引入雙恆等變換推導出系統及輔助系統的的d步預測模型，基於估計器的自校正控制器能將閉環極點配置在所希望的位置，它的參數是由與其相互獨立的對象參數調節.提出使用輔助估計器克服丟番方程的病態問題.模擬表明在存在可測干擾的情況下該系統具有良好的動態性能
  4. And this algorithms have been proved to be valid by computer analogize for two different model. after a detailed analysis of the glass furnace, put award a method of disassemble multivariable control : the upper levels use fuzzy supervise control, provide reference signal for lower level ; the lower level select and use a modified self - regulating fuzzy controller or a double closed - loop controller for time - sluggish system

    在分析窯爐特性的基礎上，以溫度系統為例，根據其被控參數多、大滯后、非線性等特點，提出分層分區的智能控制策略：上層採用模糊監督控制器，為下層提供參考信息，下層根據控制要求及被控對象特性分別採用了一種改進的自校正控制演算法和一種適合於滯后過程的雙環模糊控制器。
  5. Then, as the substitute of the traditional pi controller, neuron adaptive psd controller is used to alternate the velocity loop of dc driver system, simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly, in addition, through analysis of the character of the neuron adaptive psd controller, the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly,

    然後，應用單神經元自適應psd控制器改造調速系統的轉速環，代替傳統pi調節方式的轉速控制器。模擬表明，新系統在超調、抗負載擾動和參數時變方面性能優于的傳統的pi控制方式，系統的魯棒性增強。在分析單神經元自適應psd控制器特性后，本文提出用對角遞歸神經網路辯識控制對象，為psd控制器提供靈敏度參數，從而構成一神經網路自校正控制方案。
  6. R. d. lorenz and d. b lawson, " performance of feedforward current regulators for field - oriented induction machine controllers ” ieee trans. ia, vol. 23, no. 4, 1987

    吳捷，姜智堅.感應電機調速系統新型滑動模解耦與自校正控制.中國電機工程學報1999 （ 1 ）
  7. A fuzzy self - tuning controller based on fuzzy competitive learning

    基於模糊競爭學習的模糊自校正控制
  8. Finally, stc structure is used to form a composite neural networks adaptive control system of temperature and ga is also applied to train nn controller

    最後，應用自校正控制結構組成復合神經網路自適應溫度控制系統，並對神經網路控制器進行了訓練。
  9. A new learning algorithm of fuzzy self - tuning controllers

    一種新的模糊自校正控制學習演算法
  10. A self - tuning control for the aeroengine is proposed

    提出了航空發動機的自校正控制方案。
  11. Application to parameters of pid control based on genetic algorithm

    電弧爐電極調節系統的自校正控制
  12. Self - adjusted control model study for proton exchange membrane fuel cell

    質子交換膜燃料電池自校正控制模型研究
  13. Two way traffic model and self - tuning controller for freeway around ci ty

    環城高速公路雙方向交通模型與自校正控制
  14. Self - tuning control

    自校正控制
  15. First, the damages of low power factor and the importance of pfc are presented. secondly, the main parts of the hardware are designed and selected

    首先簡單總結了諧波污染對電網的危害，指出了功率因數校正的必要性，並且介紹了目前常用的功率因數校正控制方法。
  16. Design of fuzzy parameter self - revised controller in municipal wastewater biology treatment process

    污水處理過程的模糊參數自校正控制器設計
  17. Neural network stc has the capacity of restrain the disturbance on the feedforward loop and essentially is applied to the controlled object that probably disturbed by the environment

    神經網路自校正控制主要用於被控對象含有擾動的場合，這種控制對于抑制前饋通道中的干擾有極大的優越性。
  18. The parameters estimation with the least square method is applied to the open speed system. the least square estimation with forgetting factor and the least square error self - tuning control are applied to the close speed system and controller parameters arc obtained from estimation parameters directly

    採用最小二乘參數估計演算法對某渦扇發動機低壓轉速進行開環辨識，採用帶遺忘因子的最小二乘估和直接獲得控制器參數的自校正控制對該系統進行閉環控制。
  19. 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。
  20. ( 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。
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