adaptive control process 中文意思是什麼
adaptive control process
解釋
自適應控制方法-
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。 -
These years people are trying to apply control arithmetic more advanced, such as adaptive control, fuzzy control and expert systerm etc, so we decided to design a hardwar & software bench which can be used to test these control arithmetic, it can simply but independently contrl the process of al electrolysis, and also can control the process according to the better arithmetic which is inputted by users
近年來人們又在嘗試採用更先進的控制演算法（比如自適應控制，模糊控制，專家系統等） ，因此我們設計了用於試驗控制演算法的軟硬體平臺，它既可以獨立地對電解槽作簡單的控制，也可以按照用戶輸入的控制演算法進行更加優化的控制。 -
Fuzzy control is a simple and practical control method that had been developed in recent years. it has some adaptive ability for process parameter changes, but its steady - state accuracy is unsatisfactory
模糊控制是近年來發展起來的一種簡單實用的控制方法，對被控過程參數變化有一定的適應能力，但它的穩態精度較差。 -
There are a lot of advantages of this control technology such as automatic to distinguish parameters of the controlled object, automatic to tune parameters of the controller, and adaptive to change with the process parameters, which make it become a perfect control technology
自適應控制技術是近些年發展的一種性能很好的實時控制技術，具有自動辨識被控對象參數、自動整定控制器參數、能夠適應被控過程參數變化等一系列優點，成為一種理想的控制技術。 -
According to the detailed analysis of main clutch engaging process control target and adaptive demands and based on speed signal, a control strategy of main clutch for automated mechanical transmission ( amt ) was put forward
摘要在詳細分析主離合器接合過程式控制制目標及自適應要求的基礎上，提出了一種基於轉速信號的amt車輛主離合器控制策略。 -
Firstly, based on backstepping and the supervisory control strategy, a robust adaptive fuzzy controller is designed for a class of nonlinear systems. the first type fuzzy logic system is used to approximate the unknown part of the process. the adaptive compensation term of the optimal approximation error is adopted
本文首先針對一類不確定非線性系統，基於backstepping方法，利用監督控制，引入最優逼近誤差的自適應補償項，並利用型模糊邏輯系統逼近系統的未知部分，提出了一種魯棒自適應模糊控制器設計方案，運用李亞普諾夫第二方法，先證明了閉環模糊控制系統全狀態有界，再證明了跟蹤誤差收斂到零。 -
Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process
模糊控制系統避開了數學模型，能很好適應公路隧道通風系統非線性和分散式參數特徵，但是模糊控制系統本身的學習和適應能力差，導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數（如交通量、基準排放量等）的改變而自動調整和修改等問題，本文將具有強大學習能力的神經網路融合到模糊控制系統中，研究和探討了隧道通風模糊神經控制方法。 -
So we present two methods : the mod method by introducing mismatched control vector and the ssp algorithm by partitioning subspaces to reduce the dimensions of adaptive process
為此，我們提出了兩種方法:通過引入失配方向控制向量而得到的最優失配檢測方法和通過子空間劃分而減小自適應維數而得到的子空間投影方法。 -
There are many plants that have the character of time - varying, large delay, large inertia in the process of production of modern power station such as the superheated steam temperature, the reheated steam temperature, the water treatment of boiler and the load regulation. some of them have the strong character of nonlinear and some of them are multivariable coupling systems it is very difficult to obtain good effect of control by conventional pid control. it is necessary to set up the mathematics models of controlled plants if applying control means of modern control theory such as self - adaptive control, optimal control ， decoupling control and predictive control. and these control systems have large calculation and bad character of real time in general. these disadvantages make them be not able to meet the need of real production process and limit the application of them in modern power station. now the generator units are developing towards large capacity and high parameters. many new kinds of generating electricity means are coming into being. the characers of production units of power station become more and more complex but the demand to quality of control becomes more and more strict. the new control means are in bad need to control them effectively
現代電站的生產過程中存在過熱汽溫、再熱汽溫、鍋爐水處理、負荷調節等許多大遲延、大滯后、特性時變的對象，它們中有些還是具有強非線性特性的對象或多變量耦合系統，採用常規的pid控制手段很難取得良好的控制效果。若應用現代控制理論中的自適應控制、最優控制、解耦控制、預測控制等控制手段，則需要建立被控對象的數學模型，而且往往控制系統的計算量大、實時性差。這些缺點使其很難滿足實際生產過程的需要從而極大地限制了其在現代電站中的應用。 -
Fuzzy adaptive variable structure control of speed process of dc motor
電機調速過程的模糊自適應變結構控制 -
Based on traditional pid controller, by using fuzzy neural network to identify the process and bp neural network to tuning the parameters of pid, a neural network adaptive pid controller is constructed and optimal control of glass - furnace melting pond temperature is achieved
本文在常規pid控制器的基礎上，利用模糊神經網路對過程進行辨識，開採用bp神經網路調整pid控制器的三個參數，構成了神經網路自適應pid控制器，實現玻璃窯爐熔化池溫度的優化控制。 -
A new lms adaptive fuzzy control strategy of active suspension is brought up. according to actual condition of system, the rectification factor can be continuously adjusted so as to follow the control process in real time
根據實際系統的變化情況，通過lms自適應模塊調整帶修正因子的模糊控制器，以跟蹤實時控制過程，是一種具有自適應、自調整的模糊控制方法。 -
Campared with statistical analyze, it is shown that, the network structure and network output after trained rbfnn using improved rols is more reasonable than k - mean algrithm, and the control model has the property of self _ learning, self _ organization and self _ adaptive, and the control precision can be more than 90 %. on the other hand, this paper also shows that, rbfnn model can control the desulfuration process on the whole in time, and the prediction result using rbfnn model is better than statistical analyze method
同統計分析結果比較，得出以下結論：利用改進rols演算法訓練rbf網路比k -均值演算法能夠得到更加合理的網路結構和網路輸出；利用rbfnn所建立的脫硫智能控制模型具有自學習性、自組織性和自適應性，其控制精度達到90 %以上； rbf神經網路模型基本可以對脫硫過程進行及時控制；基於rbfnn模型的預測效果優于傳統的統計分析結果。 -
Usually we linearize them approximately in industrial process, but in some cases this ca n ' t satisfy the request of automatic control which makes us consider the nonlinear factors in the industrial process. in practical process of power plants the typical structure nonlinear case is dead - zone and the latter case is the nonlinear variance of objects ' parametres with the changes of working condition. the nonlinear research is parallel with the linearity and adaptive method can be used to deal with nonlinear cases. in this paper two adaptive control methods are used to solve the problems brought by the dead - zone of boiler negative pressure system and the nonlinear changes of the milling system ' s character parameters, which achieved good results
在生產中通常對非線性作近似線性化處理；但在某些情況下線性近似達不到自動控制的要求，必須對生產過程中的非線性情況進行考慮。在火電廠的實際生產中，典型的結構非線性之一是死區；參數非線性多發生在控制對象特性隨工況變化而變化，表徵其特徵參數變化呈非線性。非線性控制的研究與線性控制的研究是并行的，針對非線性情況，可以採用自適應的控制方法。 -
In the course of the evolution of algorithm, the number of niche peaks is decided by seed identification and preservation process, the fitness ascending direction is applied to control search direction, adaptive population distance is used to control search range
演算法的進化過程中，通過物種的辨識和保存過程確定小生境的峰值，引入個體趨向于高適應度的方向這一控制參數控制搜索的方向，採用自適應調整種群距離的方法控制搜索的范圍，大大提高了搜索效率。 -
Feedback is used in control, but it is just limited to adaptive process. adaptive inverse control dominates alterable parameters rather than signal flow in system not so as conventional control
和傳統的控制不一樣，自適應逆控制採用反饋不是為了控制系統中的信號流動，而是用於控制系統中的可變參數。 -
Thirdly, the adaptive iterative learning control is used for the dynamics in the steady state optimization of nonlinear industrial process. the process operates continuously without resetting of initial value. the difficulty of selecting target trajectory is overcome effectively
第三，對非線性工業控制系統的穩態優化問題，用自適應迭代學習控制對其動態施行控制，不需要狀態重置，系統是連續運行的，並且有效克服了ilc應用到穩態優化控制中目標軌線選取的困難。 -
The research of adaptive inverse control mainly concentrated on modeling and control by utilizing the way of signal process especially wiener filter theory ago
以前自適應逆控制的研究主要集中於運用信號處理的方法尤其wiener濾波器理論來建模與控制。 -
On the base of investigating the research status of adptive protection system, an adaptive protection system of power supply and distribution line of 35kv or under 35kv is constructed based on devicenet fieldbus, industrial ethernet and the offered system ’ s overall structure. it is composed of production process level, bay level, substation level and central control center level
在充分調研國內外自適應保護系統研究現狀的基礎上，基於devicenet現場總線與工業以太網以及給出的系統體系結構，構建了適用於35kv及以下電壓等級由生產設備層、間隔層、變電站層與集控中心層組成的供配電線路自適應保護系統。 -
At the same time, the thesis commentates on the future of the efm. finally, the core business processes of quality management, process ability analysis and statistical process control are implemented using power builder 8. 0 and sybase adaptive enterprise server 11. 5 database
最後，用powerbuilder8 . 0和sybaseadaptiveenterpriseserver11 . 5數據庫實現了設計中的主要業務、完成了關鍵生產過程的能力分析以及統計過程式控制制等。
分享友人