逆系統 的英文怎麼說
中文拼音 [nìxìtǒng]
逆系統
英文
invertible systems-
An application of inverse system method to direct side force control
逆系統方法在飛行器直接側力控制中的應用The stability of electric power system has been being focused for a long time toprevent a power system from losing synchronism after sudden fault ， researchers have done much work and got many accomplishments this paper applied the direct feedback linearization ( dfl ) technique on the power system ， a strong nonlinear system simulation results by matlab proved this method efficiency main works and results are as follows ： this paper compared some existing methods in excitation control ， fast valve control and coordinated control respectively, analyzed the developments and actuality of nonlinear control research in brief, illustrated why ransient stability could be greatly improved by using the fast valve control in chapter 3 ， indicated the importance of coordinated control farther this paper introduced the inverse system theory, based on which ， discussed the dfl theory, pointed out which had consistency with the inverse theory, expanded the dfl theory combined the idiographic model equations ， made which adapt to the model of a single machine - infinite bus power system this paper referenced abundance articles and educed a set of equations ， which could describe the dynamical process of excitation and fast valve control for synchronous generators in the equations ， there were several very important parameters of power system - - rotor angle ( ) ， rotor speed ( ) ， generator q axis voltage ( eq ) ， transient voltage ( e ' q ) ， active power ( pe ) ， mechanical input power ( pm ) ， valve opening ( ) ， generator terminal voltage ( vt ) ， based on the model ， nonlinear coordinated controller and terminal voltage optimal controller have been designed by using the expanded dfl theory and lq optimal control theory the simulation results showed that the controller could keep power system transiently stable under the effects of a symmetrical 3 - phase short circuit fault ， which achieved better postfault regulation compared with another two routine methods ， one is the proportion excitation controller and proportion fast valve controller, the other is the proportion excitation controller and the optimal fast valve controller, which could exert good performance when met 1ittle disturbance either
在介紹逆系統理論的基礎上，詳細介紹了dfl理論，通過比較闡明了dfl理論其本質是逆系統方法的一類，並結合具體課題推導出的模型方程將dfl理論進行了擴展，使之適應于電力系統這個強非線性對象。通過參考大量的書籍文獻推導出一套實用的可將大型汽輪發電機勵磁與汽門綜合起來進行控制的模型方程，此模型方程涵蓋了電力系統中特別引人注目的幾個量- -轉子角、轉子轉速、發電機q軸電勢eq 、暫態電勢e ' q 、有功功率pe 、機械功率pm 、汽門開度、機端電壓vt ，在此基礎上建立了實用的電力系統簡化的數學模型，並將擴展的dfl理論應用於此模型系統，結合線性二次型最優控制理論設計出大型汽輪發電機的非線性綜合控制器及機端電壓最優控制器，通過模擬實驗與採用常規的按電壓偏差進行調節的比例式勵磁控制器+汽門比例控制及採用常規的按電壓偏差進行調節的比例式勵磁調節器和基於二次型性能指標設計的最優快控汽門（考慮發電機的飽和因素）進行了對比，證實了採用此種控制器可以有效地提高電力系統的暫態穩定性，並且在電力系統遭受小干擾時同樣具有良好的調節性能。Design of h - bridge power driver of stepping motor
包含靜止無功發生器的電力系統逆系統解耦控制The fuzzy neural network is used to identify the dynamics of the system to be controlled, the trained fuzzy neural network is used in the inverse system method for chaos control and chaotifying control
採用模糊神經網路洲觸被控系統的動態特性，將訓練好的神經網路應用於逆系統方法中，實現了混沌系統的控制和混沌化控制。Time - independence of irreversible behaviors and stability of irreversible systems
時間無關不可逆過程及不可逆系統的穩定性The inverse system method of active vibration control
振動主動控制的逆系統方法Induction motor control based on inverse system theory
基於逆系統理論的感應電動機控制策略Inverted system control of large air dense medium fluidized bed
大型空氣重介流化床的逆系統控制The application of cmac neural network to dtc control system
神經網路逆系統在電機變頻調速系統中的應用Second, a new method combining inversion dynamics and h control is discussed
二、設計了一種h _和逆系統集成控制方法。A nonlinear inverse - system of asynchronous motor under dynamic - decomposision and its application
動態解耦條件下異步電機的近似逆系統及應用A structure of irreversible process thermodynamic system with two coupled subsystems is put forward
摘要提出了不可逆系統的一個特殊形式耦合雙子系統結構。The simulation results show that : neural ath - order inverse system control method have good adaptability to the running point and network structure ' s transformation, improve the stability of power system greatly and have good control performance when it was applied to the stability control of power system
單機和多機系統的模擬結果表明，神經網路階逆系統控制方法應用於電力系統控制，對系統運行點和網路結構的變化有良好的適應性，可顯著改善系統暫態過程的動態響應，具有較好的控制效果。The inverse system analysis technique is employed to establish the error estimation equation and by applying the noncausal wiener fitering theory, the optimal estimator of dynamic loads is derived out
首先，採用逆系統分析方法建立誤差估計方程；基次，利用非因果維納濾波理論導出了動態載荷的優化估計器。For this reason, the paper is aimed at the electro - hydraulic servo - system nonlinear problem, and proposes the feedback linearity means ( that is the inverse system method ) against the system mode systematically to transform such nonlinearity into the pseudo linear system. the system mode not merely continues to have system message completely feedback the linearity means, but also achieves the great limit linearization of controlled device, for designing the controller to advance system dynamic characteristic and performance index and supply the ideal terrace in the interest of the application linearity control theory
為此，本文針對該非線性問題，提出了逆系統狀態反饋線性化方法，將其非線性系統轉化成偽線性系統，不僅完全保留了系統的信息，而且還實現了被控對象的大范圍線性化，為應用線性控制理論去設計控制器為提高系統的動態特性和性能指標提供了理想的平臺。In this paper the method of inverse system and ath - order inverse system are introduced, then it studies the application of the method of inverse system and supervised neural controller in the excitation controlling of one machine infinite bus power system. after introducing the method of ann a th - order inverse system it studies its application in the excitation controlling of one machine system. at last as t the emphasis of this paper, combining the theory of multi - machine decentralized and coordinated control, the method of ann ath - order inverse system is studied how to be used in the excitation control of multi - machine power system
本文首先介紹了逆系統和階積分逆系統理論，接著研究了逆系統方法和神經網路監督學習控制理論在單機?無窮大系統勵磁控制的綜合應用；然後在介紹了神經網路階逆系統控制理論后，研究了神經網路逆系統方法在單機?無窮大系統勵磁控制中的應用；最後作為本文研究重點，首次將神經網路逆系統方法應用於多機電力系統穩定控制，研究了神經網路逆系統方法在多機系統勵磁控制中的應用情況，並結合多機系統最優分散協調控制理論，設計出基於神經網路逆系統方法的多機電力系統分散協調勵磁控制器，進行了控制系統模擬和效果分析。By combining the idea of inverse system and ann ath - order inverse system, the optimal control theory and the strategy of decentralized and coordinated control, this paper studies the stability control of one machine and multi - machine power system
本文根據逆系統方法、神經網路方法、最優控制理論及分散協調控制理論的特點，綜合運用於電力系統單機、多機系統的穩定控制。The reference signal and the disturbance signal are controlled, which can achieve optimal effect in the meantime, applying adaptive lms algorithm based on variable step and variable region to variable frequency speed regulation system, the initial convergence rate, tricking ability of time - varying system and stable precision are best in the meantime
利用變論域變步長的lms自適應濾波演算法，使自適應逆控制的異步電機變頻調速系統及其逆系統辨識的初始收斂速度、時變系統跟蹤能力及穩態精度3個指標同時達到最優。In this thesis, current indirect control with the reversible system pi and current direct control under dq axis are studied specially and the static state and dynamic state performances of asvg controlled by this two method are simulated respectively
論文重點對電流間接控制中的逆系統pi控制和電流直接控制中的dq軸電流控制進行了詳細研究，模擬了asvg在這兩種控制方法下的靜態和動態特性。The multi - input multi - output ( mimo ) control system was constructed, as the internal model is dynamic neural network obtained from study, while the controller is neural network obtained from direct inverse - system study
以通過學習得到的動態神經網路作為內部模型，將直接逆系統學習法得到的神經網路作為控制器，構造了mimo控制系統。分享友人