controller lag 中文意思是什麼

controller lag 解釋
調節器的滯后
  • controller : n 1 管理人，主管人。2 （會計的）主計人，檢查員；〈英國〉（特指宮廷、海軍等的）出納官〈常作 comptr...
  • lag : vi （ gg ）1 延遲，逗留，落後；慢條斯理地走。2 未充分發展。3 【電學】滯后。4 慢慢地減少，變弱，鬆...
  1. The design of force feedback loop is emphasized on the base of theory analysis. then proportional - integral controller and lag - lead compensator are designed to improve dynamic performance of this kind of gyro. the main work includes optimizing parameters and system simulation

    用matlab分析了陀螺本體傳遞函數的波德圖，然後通過採用比例-積分控制和遲后-超前校正及參數優化、系統模擬，使陀螺系統的固有頻率得到顯著提高。
  2. For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively

    本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。
  3. This paper aims to combine advantages of pid control and neuron, propose the neuron pid controller which is derived from an incomplete derivative pid algorithm and based on six learning rules in common use, viz. no surpervized hebbian learning rule, perceptron learning rule, supervized learning rule, improved hebbian learing rule, delta learning rule and capability index which is based on second type, and these rules come into being six control arithmatic. then simulate in object with lag

    本論文主要將兩者的優點結合，提出了神經元實現不完全微分pid ，並採用神經網路常用的六種學習規則，即無監督hebb學習規則、感知器的學習規則、有監督的hebb學習規則、改進的hebb學習規則、 delta學習規則和基於二次型性能指標的學習規則，形成六種控制演算法，以工業生產過程中常見的二階純滯后對象為例進行模擬。
  4. It adopted a bp neural network with a lag factor to identify the counter static model of process and decided parameters of feed - forward control through a model image, adopted a feedback controller that can adjust fuzzy logic according to the changes of object ' s parameters to improve dynamic control effect and adopted a control strategy simulating human intelligence to harmony works of system by switching among each control combination

    它採用加滯后因子的bp神經網路辨識對象的靜態逆模型，並通過模型映射直接決定前饋控制的參數；用可隨對象參數變化調整模糊邏輯的閉環控制器配合前饋控制器以改善動態控制效果；用仿人智能控制策略協調系統的操作，在各種組合控制方式之間進行切換。
  5. In order to decrease the over - adjusting in temperature and transaction time, a multi - model selector was provided to different scenarios of ascending temperature to make this system be simulated under simulink ' s circumstances. the result of simulation demonstrated that the effect of the system temperature control with model selector is superior to that of the system with pid controller or with pure lag compensation

    為了進一步降低滲氮爐到溫前的溫度超調量及過渡時間，又提出用一個模式控制器來進行多種升溫方式的選擇並在simulink環境中對帶有模式控制器的溫控系統進行了模擬實現，模擬結果表明帶模式控制器的滲氮爐溫控系統的控溫效果又要優于帶純滯后補償的pid控制系統。
  6. According to the demand of the technology of gas nitriding, the author firstly put forward total demand analysis and systematic model - making for gas - nitriding furnace ' s temperature control system with uml in order to definite the temperature control system ' s functional requirement and the interaction of each object in this system on the basis of this idea. it ' s thought that the key step for realizing the temperature control system is the analysis and the design of the pid controller. considering that the gas - nitriding furnace has significant temperature lag, the author initially pointed out the opinion of realizing the system of temperature control by pid controller with pure lag compensation and then designed the parameter of pid controller with pure lag compensation and ordinary pid controller by matlab6. 5

    這篇論文以作者本人在原工作單位的技術改造實踐中（即滲氮爐的技術改造）所遺留下來的技術問題為背景，根據氣體滲氮工藝的具體需要，首先提出了用uml對滲氮爐溫控系統進行總體的需求分析和系統實物建模以明確溫控系統的功能需求及各對象間的交互，在此基礎上分析得出溫控系統實現的關鍵所在即pid控制器的分析設計和實現，由氣體滲氮爐存在較大的溫度滯后這一特性，初步提出用帶純滯后補償的pid控制器來實現溫控系統的溫度控制，隨后藉助于matlab6 . 5平臺對帶純滯后補償的pid控制器和常規的pid控制器進行參數的設計與整定，進而在matlab6 . 5的simulink模擬環境中對基於兩種不同pid控制器的滲氮爐的兩種溫控系統的設計方案進行了模擬實現及模擬結果比較，結果表明，採用帶純滯后補償的pid控制系統的魯棒性較常規的pid控制系統好。
  7. We discussed the theory and engineering realization of dahlin algorithm which applied to the pure lag control system, the fuzzy logic control was paid more attention. a design method of the fuzzy - pid controller is presented here. this controller combines fuzzy control with pid control, performs the pid parameters self - tuning in the control system

    具體討論了純滯后系統的大林演算法及工程實現方法，著重對模糊邏輯控制進行了較深入的討論，並提出了一種模糊pid控制器的設計，該控制器把模糊控制和pid控制有機地結合起來，實現對控制系統的參數自整定，而且還通過模擬對設計和改進的結果進行了分析。
  8. Derivates the transfer function of elements of the servo system, constructed the mathematic model of the position servo system and advance - lag revising controller was designed

    推導出液壓伺服系統各元件的傳遞函數，並由此建立起位置伺服系統的數學模型，設計出超前?滯后校正控制器。
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