self-controller 中文意思是什麼

self-controller 解釋
自動控制器
  • self : n （pl selves ）1 自己；自身；本身；【哲學】自我；我。2 本性；本質。3 私利；私心，私慾。4 〈俗〉...
  • 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. As a mix - mode chip, the application - specific controller including analog signal and digital signal processing block can be applied to receiving, amplifying, processing, controlling signals of pir, and offer a wide application in some fields. in analog circuits, by sub - threshold mosfet, a self - bias current source is presented, which has a high power supply restrain ratio and a complementary to absolute temperature characters

    這款晶元是一款數模混合晶元，包括模擬信號處理（含模數介面模塊）和數字信號處理兩大模塊，完整實現對紅外信號的接收、放大、處理、控制，產生有效數字電平驅動繼電器、可控硅等負載，應用於自動燈等多種場合。
  2. The control system included the following units : video decode unit, data format conversion unit, fpga controller, cache unit and d / a monitor. the above self - design control unit plus row and column power supply units make the whole fed driving system, thus drove the 25 inch sample and realized color video display. the 25 inch vga sample thus fabricated could display video images, and obtained its brightness 400cd / m2, contrast ratio 1000 : 1, 256 circuit gray scale

    本文介紹了fed驅動系統的工作原理，重點論述了基於fpga的vga級彩色fed新型驅動控制系統的研製，這種新型fed驅動控制系統主要包括視頻解碼電路、數據格式轉換電路、 fpga控制電路、數據緩存電路和d / a監控電路，配合后級列灰度調制單元和行掃描單元，組成完整的fed驅動系統，可以驅動25英寸vga級fed顯示屏，實現彩色視頻顯示，樣機亮度達400cd / m2 、對比度為1000 : 1 ，灰度等級為256級。
  3. Design and application of self - adapting fuzzy pid controller

    控制器的設計及應用
  4. The result indicates that the parameters self - adjusting illegibility controller is of well self - adaptability at the system of boiler inside wall water level control system

    結果表明，在鍋爐液位控制系統中，參數自調整模糊控制器具有良好的自適應性。
  5. 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。
  6. In the part of detector, it mainly introduces the design of liquor tubes, heater, pressurize, and thermocouple ; in the part of controller, this design uses tms320lf2407 as the cpu. the design part mainly introduces controller circuit design which mainly contains data collection circuit, prepositive magnifying circuit, a / d convert circuit, failure self - diagnosis circuit, the tms320lf2407 interface circuit, temperature control circuit, display circuit, 4 ~ 20ma standard signal output circuit ; in the software part, it mainly introduces software chart of main program and partly linearization subprogram design

    檢測器部分重點介紹了導流管的設計、加熱器的設計、密封技術的設計以及測溫電路的設計;控制器部分以tms320lf2407為核心，重點介紹了控制器電路設計，主要包括數據選擇電路、前置放大電路、 a / d轉換電路、故障自診斷電路、 tms320lf2407介面電路、控溫電路、顯示電路、 4 20ma標準信號輸出電路共八個部分;軟體設計重點介紹了主程序軟體設計及分段線性化子程序設計。
  7. Self-contained system incorporates sensor, controller and controlled device in a single package.

    直接作用式系統統統裝在一隻簡單的匣子里，它包含傳感器，控制器和調節機構。
  8. It combines the fuzzy controller and the self - adaptive unit, achieving the undulatory control of the flexible fin in uncertain environments

    它將模糊控制器和自適應單元相結合，解決了不確定環境下柔性長鰭的波動控制問題。
  9. This thesis introduces the working principle, craftwork requirement, modeling process, control strategies and the realization of lf refining furnance bottom blowing argon control system. through the study and analysis of bottom blowing argon process control system, the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors, pwm adjustable pressure controller and pcm adjustable flux controller according to the relevant liquid knowledge and relevant data, including design data, test data and running data. to begin with the craftwork reguirement of bottom blowing argon and the actual instance of the control system, it presents the strategies of fuzzy parameters self - adaptive pid control used in pressure difference inner loop and fuzzy plus pi compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of argon flux

    本文介紹了lf精煉爐底吹氬過程式控制制系統的工作原理、工藝要求、建模過程、控制策略以及控制系統的實現。通過對精煉爐底吹氬過程式控制制系統進行研究與分析，並根據流體力學的有關知識以及有關數據（其中包括設計數據、試驗數據和運行數據） ，建立起了被控對象的平均神經網路模型和執行機構（即pwm調壓器和pcm調流器）的數學模型。在此模型的基礎上，從底吹氬工藝要求和控制系統的實際情況出發，提出了壓差內環模糊參數自適應pid控制策略和流量外環模糊pi復合控制策略，以實現氬氣流量的精確控制。
  10. The neuron control method with self - tuning gain is proposed for a ph neutralization process. in this control system, the fuzzy t - s model is used to predict the control signal. the neuron controller gain is calculated according to the parameter estimation and experience formulas

    針對具有嚴重非線性特性的ph中和過程，提出了一種模糊增益自整定神經元控制方法，這種方法採用t - s模糊推理估計下一時刻的控制量，並通過參數估計和經驗公式來計算出神經元控制器的增益。
  11. The effect of the profile of membership function and the defuzzification algorithm on the capacity of fuzzy controller is studied systematical, and a practical self - adaptive fuzzy controller is designed

    研究了隸屬度函數及解模糊演算法對模糊控制器性能的影響，設計了實用的自適應模糊控制器。
  12. 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。
  13. On the basis of this, we selected rms as feedback variable and constructed the controller g : add this controller to the right of ion radial self - edlctric force equation like equation ( 1 ). we simulated the motion of ion beam by using muti - paticle code ( partice - in - cell ( pic ) code ). the results demonstrated that the beam halo of five different initial distribution is eliminated well under the same controller. the halo intensity of k - v distribution, water - bag distribution and parabolic distribution and be reduced to zero. in the case of 3 - sigma distribution and full gauss distribution, the result is agree with minimum limitation ( 10 " ) of halo intensity of factual high intensity accelerator

    在此基礎上，選擇a為控制變量，構造延遲反饋控制器g ： g （ s glrrms （ s ）一rms （ s ） （ 2 ）同（ l ）式一致，將此控制器函數加在粒子徑向所受束自生場力方程的右邊。利用多粒子數值模擬程序（ pic ）進行了控制試驗。模擬結果表明，用同一個控制器和同一個控制參數即可實現五種不同初始分佈情況下的束運一混飩的有效控制。
  14. The fuzzy algorithm can be summered with such formula : the fuzzy controller with revising factor is a adapting fuzzy controller. it realize self - adjusting of controlling rules on line

    模糊控制演算法可用下式表示：採用了修正因子的模糊控制器接近一個自適應的模糊控制器，實現了控制規則的在線自調整。
  15. Application of self - adaptive fuzzy logic controller in building automation system

    模糊自適應控制在樓宇暖通空調系統中的應用
  16. Regarding the hysteretic properties and time - varying of the system, the scan round performance of the controller, adopt incremental pid algorithm in constant - pressure controlling and combine it with the integral - separated dead - zone algorithm as appropriate for the situation of the measuring system and applies fuzzy self - tuning to control pid controller parameters

    由於系統的滯后時變性和控制器的循環掃描工作方式，恆壓控制採用增量式pid控制演算法，結合測量系統實際情況加入積分分離帶死區改進演算法，並對pid參數進行模糊自整定控制，設計了一種參數自整定模糊pid控制器。
  17. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  18. For these reasons, we can apply the theory of the model reference self - adaptive control syetem design based on the theorem of balance point stabilization in the force system of asymmetric cylinder controlled by symmetric valve. the main idea of model reference self - adaptive controller is to make the self - adaptive control error incline to zero as time passed. the task to design adaptive controller is to find the control input that can make the output of the controlled system to follow that of the reference model

    因此將基於平衡點穩定定理的模型參考自適應控制系統設計理論應用於閥控非對稱缸力系統中，其基本原理是使自適應控制誤差隨時間的推移而趨向于零，自適應控制器設計的目的是尋找使被控系統的輸出漸近一致的跟隨參考模型的輸出的控制輸入，以此來改善被控系統的性能。
  19. Application of genetic algorithm in self - tuning pid controller

    自整定控制中的應用
  20. Parameters self - tuning pid controller using fuzzy system

    參數模糊自整定控制
分享友人
分享到 Line

分享到臉書