模糊動態系統 的英文怎麼說
中文拼音 [móhúdòngtàixìtǒng]
模糊動態系統
英文
fuzzifying dynamic system- 模 : 模名詞1. (模子) mould; pattern; matrix 2. (姓氏) a surname
- 糊 : 糊名詞(樣子像粥的食物) paste
- 態 : 名詞1. (形狀; 狀態) form; condition; appearance 2. [物理學] (物質結構的狀態或階段) state 3. [語言學] (一種語法范疇) voice
- 系 : 系動詞(打結; 扣) tie; fasten; do up; button up
- 統 : Ⅰ名詞1 (事物間連續的關系) interconnected system 2 (衣服等的筒狀部分) any tube shaped part of ...
- 模糊 : 1 (不清楚) dim; vague; indistinct; obscure; fuzzy; blurred 2 (混淆) blur; obscure; confuse; m...
- 系統 : 1. (按一定關系組成的同類事物) system 2. (有條理的;有系統的) systematic
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In the next place, by studying the change of the resonant frequency of the whole system, this paper designs the circuit to track the resonant frequency of the system by cd4046 mainly. at the same time, in order to improve the efficiency and get better dynamic capability of the converter, we choose pll and fuzzy control after comparing the pll circuit, fuzzy circuit and pll ? fuzzy control circuit. in the end, this paper brings forward the control blue print to realize the drive control circuit of the high frequency converter, using the dsp chip as the key part to realize four routes of pwm drive pulses with dead band of the control system
其次,通過對整個系統諧振頻率變化的分析和研究,設計了以鎖相環cd4046為核心的鎖相環控制電路,同時,在綜合比較鎖相環控制、模糊控制以及模糊控制和鎖相環復合控制三種控制演算法的基礎上,進行了系統模擬,得出採用復合控制可使跟蹤電路既具有鎖相環路較好的穩態性能,又擁有模糊控制較好的動態性能,系統魯棒性能好,同時也提高了逆變器的效率。In recent years, the water - saving and control irrigation technique of rice has diverted from plot experimental and demonstration to lare scale. and has got remarkable economic and social benefits. amed at the characteristics of this irrigation area, optimal selection for water - saving techniques of rice, deciding the amout of leaching water and irrigation modles, investigating the adaptability of the water - saving and control irrigation technique in saline land. studying the increase in production mechanism of the technique are important to extend the technique, to better and develop saline land as well as slick spots. according to the results of field experiments, optimization study was conducted on the water - saving irrigation technique of rice in saline land, the effects of different water - saving irrigation techniques on the physiological indexes and yield of rice were systematically analyzed. by using mutiplepurpose fuzzy optimization method, better. water - saving irrigation technique was selector out, that is. the control irrigation technique in rice. the mechanism of it was analyzed from the aspect of the physiological and ecological saving water of rice to provide the implemental process and technical point ; throgh the quantitive analysis and comparision on control irrigation and control class ( flood irrigation ), high production and quality mechanism of the technique was analyzed in terms of physiology indexes of rice, the variation of soil moisture, the pest resistance and the lodge resistance, the change of soil temperature in paddy fields. the yield constitutive factors, the quality of rice and so on. in saline land. control irrigation and intermittent leaching modles were adopted to validate the adaptability of the technique in irrigation of rice in saline land, to analyze rice ' s physiological - ecological indexes and the change of soil salt content under the conditions of control irrigation leaching of rice and and to provide control irrigation and combined modle of intermittent leaching to adapt to different conditions
本文從試驗及試驗資料入手,取得以下主要成果和結論:對鹽堿地水稻節水灌溉技術進行優化研究,系統地分析了不同節水灌溉技術對水稻生理指標及產量的影響,採用了多目標模糊優化的方法,對灌水技術進行綜合評判,優選了節水灌溉技術,論證該地區宜採用水稻控制灌溉技術;闡述控灌技術通過調節和控制水稻的需水規律,降低水稻高產情況下的無效水量消耗,從水稻生理、生態節水兩方面分析了控灌技術節水機理,針對性地總結出水稻各生育期實施節水控灌技術的步驟及技術要點;通過控灌與淹灌的定量對照比較,從根系、莖蘗、冠層葉片及綠葉動態到株高,土壤水分變化,抗病蟲害、抗倒伏能力,稻田土溫變化,產量構成因素及稻米品質等諸多方面進行動態比較,分析控灌技術高產優質機理;在鹽堿稻地採用控制灌溉+間歇淋洗模式,跟蹤測試田間水鹽變化狀況,驗證控制灌溉技術在鹽堿地區水稻灌溉中應用的適應性,通過分析水稻控制灌溉淋洗條件下水稻生理生態指標,提出優化控制灌溉+間歇淋洗組合模式,為進一步在高礦化度地區試驗水稻控灌技術奠定基礎。This thesis first studies the hydrokinetics, heat transfer characteristics, combustion and dynamics of cfbb. three types of single fuzzy controllers and a kind of synthetically fuzzy controller are designed, through the analysis of the control system of a certain plant
本文通過對循環流化床的流體動力學特性、傳熱學特性、燃燒特性和動態特性等方面的研究,設計了三種單模糊控制器和一種綜合模糊控制器,分析了某一電廠實際控制系統,並對方案進行了比較。A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method
提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求,選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化,再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法,通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍,以速度調節器和電流調節器的參數為染色體中的基因,通過遺傳演算法在搜索范圍中優化這些基因,獲得優化解.實驗結果表明,所設計的參數能使系統性能指標有顯著提高Identification of nonlinear dynamic system based on fuzzy identifier
一類基於模糊辨識器的非線性動態系統辨識Abstract : according to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved
文摘:根據電阻爐溫控制的特點,即只有升溫單向控制、滯后較大且具有參數時變性,利用模糊推理合成法建立模糊模型並進行模糊控制器設計,為提高模糊控制的精度,引入模糊變量k ,構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數,使系統的穩態精度得到改善A fuzzy control system of stepping motor for seam tracking is presented in this paper, the proposed system can realize the self - modify ing of the parameters and improve the characteristics of dynamic and static state of stepping driving system according to the error of seam tracking. the accuracy of seam tracking is enhanced obvi ously
介紹一種用於焊縫跟蹤的步進電機模糊控制系統,該系統可根據跟蹤偏差進行參數自調整,改善了步進驅動系統的動靜態特性,提高了焊縫跟蹤精度。According to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved
根據電阻爐溫控制的特點,即只有升溫單向控制、滯后較大且具有參數時變性,利用模糊推理合成法建立模糊模型並進行模糊控制器設計,為提高模糊控制的精度,引入模糊變量k ,構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數,使系統的穩態精度得到改善2. for general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed
2 、對一般非線性系統,推導了一種綜合運用非線性動態逆、自適應模糊邏輯系統和滑動模態控制進行控制律設計的方法。Fuzzy inference system ( fis ) module, control system module and simulink module are used in the simulation of mrfac system and a set of lest and best control rules are found by " error trial ". it proves that high precision control is realized and the hydraulic mrfac system can achieve dynamic and static performance in this paper
本文就是利用matlab軟體中的模糊推理系統工具箱、控制系統工具箱和simulink工具箱對液壓伺服模型參考模糊自適應控制系統進行模擬,用「試錯法」找出一組數目最少且能夠實現最優控制的條件語句,使系統的動穩態性能得到了大大地提高,基本上實現了超調小,響應速度快地實時控制。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。When we apply fuzzy control to a unknow process, we can " t find good control rule because of we don " t know it " s characteristics. this paper based on an analytic structure of fuzzy controller put forward a method, which combines fuzzy controller and neural network. use neural network to make identification of system and provide necessary message for ls. regard control object as an output part of network. based on message provided by neural network adopt bp algorithm to modify experience rule. thus, improve dynamic process of fuzzy control system. simulation results indicate : this controller has better adaptability for variety of model parameters and can modify original system control rule, makes a output follow system input tracks faster
在對不熟悉的過程進行模糊控制時,由於對過程的不了解,很難得到合適的控制規則.基於模糊控制器的一種解析結構,提出了將模糊控制器與神經網路相結合的方法.由神經網路對系統進行辨識,並為學習系統提供必要的信息,將控制對象視為神經網路的輸出部分,採用bp演算法根據神經網路提供的信息對經驗規則進行修改,從而改善模糊控制系統動態響應.模擬結果表明該控制器對模型參數變化具有較好的適應能力,能夠較快地修改系統的原控制規則,使對象輸出較快地跟蹤系統的輸入By analyzing the recorded datum in the working place, the static table is regulated. the dynamic table is regulated by a fuzzy system in which the coupling factors are already fully considered
其次對于靜態部分通過充分利用現場記錄的數據對其進行調整,動態部分利用已充分考慮耦合因素的模糊推理系統調整。Chapter 4 gives a full - scale study and analyse about ga and moga, presents the main idea of ga and moga, analyses a typical moga. the fuzzy controller parameters of an aero - engine model is optimized by nsga - ii in all possible operation points of two working condition. the result shows good dynamic and stable performance
然後,使用先進多目標遺傳演算法nsga - ii對航空發動機模糊控制系統的參數進行了兩個飛行狀態下所有可行工作點的優化選取,各個工作點的優化結果表明模型的控制系統響應速度快、超調量小、穩定效果佳。In this paper, a general dynamical fuzzy neural network model ? fuzzy hopfield networks with threshold is developed, which is based on the fuzzy operator composition of max ( ) and weakly continuous t - norms. it is shown that the model is global stable with the hamming distance, and its equilibrium point ( attractor ) is lyapunov stable. finally, a simulation example is employed to demonstrate our conclusions
模與取大( )模糊運算元的復合,建立了具有一般意義的動態模糊神經網路? ?帶閾值的模糊hopfield神經網路,並系統分析了該動態系統的性能:在hamming距離意義下證明了該網路是穩定的,而且其平衡點(吸引子)具有全局lyapunov穩定性。The proposed scheme uses a fuzzy inference system to verify the learning coefficient and the momentum term in neural network. to test this approach, simulation results are shown in the end of the paper
本文採用了基於模糊推理的bp學習演算法,利用模糊推理系統動態地調整bp演算法的學習率和動量因子,彌補了神經網路的不足。In order to realize automatic and intelligent control better ; and to enhance the effect of electric power system ' s reactive power compensation and the economy of power network ; and to minimizing the times of checking in or out capacitor banks makes reactive power adjustment optimum, fuzzy control technology and genetic algorithm for reactive power optimization are proposed. we also mention how to make voltage and reactive power control optimum in the integrated automatization system of substation
為了充分實現控制的自動化與智能化,進一步提高系統無功補償的效果和電網運行的經濟性,保證無功調節達到最佳的狀態而投切的電容器次數最少,還引入了模糊控制技術和遺傳演算法進行無功優化,探討了如何在變電站綜合自動化系統中實現電壓無功的最優控制。Then a fuzzy control system is designed on the basis of the characteristic of boiler, though the dynamic quality is improved, there is static error
在此基礎上結合鍋爐對象的特點設計了水位控制的模糊控制系統,雖然系統動態品質得到明顯改善,然而系統存在穩態誤差。In the last part, for a class of nonlinear dynamic system, the author has designed an " adaptive fuzzy wavelet neural network controller " based on t - s model and slide mode control, also the asymptotical stability of the closed - loop system is proved
在前面工作基礎上,本文對一類非線性動態系統,設計了一個基於模糊小波神經網路自適應跟蹤器,並且證明了自適應閉環系統的漸近穩定性。All of these three schemes can improve the static performance of forzy control system notably. the fuzzy control method with on - line parameter self - correction can also improve the system ' s dynamic performance effectively, and the non - quantized fuzzy control method with analytic expression is convenient for the adaptive adjustment of the fuzzy rules
各方案均能顯著改善模糊控制系統的穩態性能,其中參數在線自校正的模糊控制方法還能有效改善系統動態特性,而具有解析表達式的無模糊量化方法便於實現模糊規則的自學習調整。分享友人