optimizing controller 中文意思是什麼

optimizing controller 解釋
最佳控制器
  • optimizing : 尋優
  • 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...
  1. This paper presents the method of design and parameter optimizing in a phase - locked controller, which is used in high - speed brushless direct current motor ( bldcm ) speed control

    摘要提出一種用於高速無刷直流電動機鎖相速度控制器設計和參數優化方法。
  2. Aiming at such problems in combustion system of homemade middle and miniature boiler, as a complex system with the character of dead zone, time variation, serious non - linearity, large time delay, coupling and a lot of disturbance, this paper presents a new set of optimal control resources. by using well - matched control method on system, stable automatic running is realized. having the serious divulgence coals difference a lot from each other in character, instability of chemistry, value of lowest emission of heat, home - made boiler controller is not at all ideal. instead of traditional model that controls the ratio based on proportional control or with the correct signal of the amount of oxygen, this paper, combined with intellect control theory - - fuzzy control and self - optimizing concept, propounded a kind of fuzzy self - optimizing controller to be used in air supplying system of the boiler, and expatiates on the idea of dividing the control process into two parts, dynamic and static to realize, thus meets the demand of homemade boiler economic running

    本設計針對國產中、小型電站鍋爐燃燒系統參數時變、嚴重非線性、干擾因素復雜、耦合嚴重、模型不易確定的特點,提出多變量協調控制方案,解決了系統可控性差,難以實現穩定自動運行的問題;在此基礎上,改變以往以煙氣含氧量控制送風的傳統模式,針對國產電站鍋爐設備主體及一、二次送風迴路泄露嚴重,煤種混雜、成分不穩定、燃燒發熱值低、燃燒效率不高等問題,應用智能控制理論中的模糊控制技術,結合自尋最優控制的思想,設計了一種模糊自尋優控制器,應用在電站鍋爐送風控制系統上,並闡述了動靜態兩種實現途徑,通過在線優化風煤配比,實現最佳經濟燃燒,切實保障了鍋爐的經濟運行。
  3. Then a combustion evolution optimizing system based on the radiant energy measuring was built, economical boiler combustion adjustment was carried out, under the combined action of a controller based on fuzzy self - optimizing of fume

    在此基礎上,建立了基於輻射能檢測的燃燒進化優化系統,通過煙氣含氧量與爐膛總輻射能的模糊自尋優控制器和風煤比進化優化器組成的燃燒優化迴路的共同作用,對鍋爐進行燃燒經濟性調節,達到燃燒優化控制的目的。
  4. Thirdly, two major strategies are presented : one is a fuzzy controller with self - adjusting of parameters which is applied to boiler burning system ; the other is a self - optimizing controller which is applied to the blasting system

    其中,總結操作人員成功的經驗,提出兩種控制策略:其一是基本模糊控制器和帶參數自調整模糊控制器,引入鍋爐燃料控制系統中;另一種是模糊自尋優控制器,用於送風控制系統中。
  5. 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。
  6. This kind of controller is easy to design and operate, and has improved convergence rates and less overshoot than pid controller, but has stable error. in order to improve the properties of the fuzzy controllers, fine - tune - rule fuzzy controller, fine - tuned parameter fuzzy controller and fuzzy - pi controller were designed respectively based on the simple fuzzy controller. then fuzzy logic inferential system is established by using toolbox of fuzzy logic in matlab7. 0. secondly, in simulink6. 0, through the instance of the template of s - function, the module of s - function for optimizing fuzzy control and corresponding control model are constructed, and the parameters of simulation are set

    這種控制器易於設計、實現方便,較傳統pid控制有更快的響應速度和更小的超調,但其存在靜態誤差;為了進一步提高模糊控制器的控制特性,在此基礎上分別設計了可調整控制規則模糊控制器、參數自整定模糊控制器和模糊- pid復合控制器;然後利用matlab7 . 0模糊邏輯工具箱圖形用戶界面建立模糊邏輯推理系統,在simulink6 . 0系統模擬設計平臺中通過實例化s函數模板創建旨在優化模糊控制的s函數功能模塊,並構建模糊控制系統框圖模型,設置系統模擬參數,最終對系統進行動態模擬。
  7. Factor two level self - optimizing fuzzy controller with time - varying modifying

    時變修正因子二級自尋優模糊控制器
  8. These compounded compensation control structures provides new clew and method for improving control performance of high power & high inertia pump - control - motor speed governing system with inverter. ( 3 ) the dissertation puts forward the method optimizing the parameters of pid controller and fuzzy pid controller based on real code genetic algorithm

    ( 3 )提出了基於實數編碼遺傳演算法的變頻泵控馬達調速系統pid控制器和模糊pid控制器的參數尋優方法,為大功率大慣性變頻泵控馬達調速系統控制參數的整定提供了新的途徑。
  9. Control experiments of the inverted pendulum show that, comparing with pid and fuzzy control strategies, this rmbfc strategy possesses simpleness, validity. it not only reduces the number of fuzzy rules, quicken optimizing speed of mea and improve system fastness, but also avoids the disadvantage of general fuzzy controller that input variables are reduced at random from subjective view because disposal of analyzed data is objective. at the same time, yawp caused by strong coupling relation between variables is eliminated due to getting rid of abundant condition attributes, which makes rapid speed and robustness of system improved

    摘要倒立擺系統的控制實驗表明,與pd和模糊控制策略相比, rmbfc控制策略簡單有效,不僅大大減少了模糊規則的數目,加快了mea的參數尋優速度,提高了系統的快速性,而且由於對被分析數據整體的處理是客觀的,避免了常規模糊控制從主觀角度隨意約簡輸入變量的弊病;同時,由於去掉冗餘的條件屬性,消除了因變量之間強禍合關系而產生的噪聲,使系統的控制特性得到了改善,快速性提高,魯棒性增強。
  10. The control strategy of engine has been studied. the cmac ( cerebellar model articulation controller ) is used on electronic controlled lpg fuelled engine ' s optimizing, it is involved that the air fuel ratio and ignition timing

    對發動機的控制策略進行研究,首次將小腦模型神經網路( cmac )用於電控lpg發動機的優化控制,研究分析其用於空燃比控制和點火提前角控制的基本方法。
  11. Some methods, such as adding integrator ; making use of neural network to remember fuzzy rule ; utilizing bang - bang controller and adjusting scale and proportion factors online, are researched to modify normal fuzzy controller for optimizing srd ' s dynamic and static performance. the simulation results given in this paper show the srd with modified fuzzy controller has excellent performance

    本文以提高srd動、靜態性能為指標,研究了如下幾種改進模糊控制的方法: ( 1 )串聯或並聯積分器以提高靜態精度; ( 2 )利用神經網路記憶模糊控制規則; ( 3 ) bang - bang控制與模糊控制結合; ( 4 )在線調整量化因子與比例因子。
  12. The paper study the way of optimizing pid controller parameters, it affects directly results of control and has in touch with safety, economy

    Pid控制器參數的優化直接影響控制效果的好壞,並和系統的安全、經濟運行有著密不可分的關系。
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