fast tuning 中文意思是什麼
fast tuning
解釋
快速調諧-
A fast acquisition pll with wide tuning range
一種快捕獲寬調節范圍的鎖相環 -
As we know, usually the wavelength tuning of the qpm - opo is achieved by changing the crystal temperature, but the response is not fast. in this paper we demonstrate the wavelength tuning of the qpm - opo by the electro - optic effect for the fast wavelength tuning
我們知道，基於ppln的qpm - opo的波長調制通常可以通過改變晶體的工作溫度來獲得，但是這種靠溫度的調諧速度不快，本文給出了一種利用電光效應外加電壓快速調諧波長的方法。 -
It ' s a driving force and also a challenge to control in both theory and technology due to the more and more severe specifications imposing on it. a variety control theory have been developed, however, with limited performance in practical applications, especially in term of the relatively lower response speed when used in those machines which run fast. therefore, it is necessary to develop a new self - tuning algorithm for fast running plant of uncertainty so as to set theoretical base for controller design
在科技飛速發展的今天，各種新設備、新工藝的出現促進了控制理論的發展，同時也對控制技術提出了越來越高的要求，雖然已有許多旨在提高控制性能的不同的控制理論，但由於其各自的局限性，在應用中仍然存在許多問題，特別是對于運行速度較快的機械設備等，其響應時間往往不能達到要求，因此，有必要開發一種新型、快速、能夠適應快速運行或變化的對象或過程的自調節演算法，以為控制器的開發作好理論支持。 -
Based on compensation control thought, through using neural network pid controller as compensation tache of traditional pid controller, a kind of hybrid pid controller is designed. combined with neural network, self - tuning control can realized better control over non - linear system. utilizing the advantages of fuzzy control and neural network control, a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line. at last, the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized. the simulation results show that it has better performance than traditional pid controller. at the same time, it provides some reference for the control of other similar systems
在此基礎上，基於補償控制思想，利用神經pid對傳統pid進行補償，設計了一種混合pid控制器；神經網路與自校正控制的結合，使得自校正方法能對非線性系統實現比較理想的控制效果；利用模糊控制與神經網路控制各自的優點，提出了一種基於快速bp演算法的神經網路自適應模糊控制器，能夠對系統進行在線控制。最後將混合pid控制應用於h型鋼連軋機張力系統中，實現微張力控制，模擬結果說明其較傳統pid具有更好的性能，同時也為其它類似系統的控制提供一些參考。
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