翻訳と辞書 |
Quantitative feedback theory : ウィキペディア英語版 | Quantitative feedback theory In control theory, quantitative feedback theory (QFT), developed by Isaac Horowitz (Horowitz, 1963; Horowitz and Sidi, 1972), is a frequency domain technique utilising the Nichols chart (NC) in order to achieve a desired robust design over a specified region of plant uncertainty. Desired time-domain responses are translated into frequency domain tolerances, which lead to bounds (or constraints) on the loop transmission function. The design process is highly transparent, allowing a designer to see what trade-offs are necessary to achieve a desired performance level. ==Plant templates==
Usually any system can be represented by its Transfer Function (Laplace in continuous time domain), after getting the model of a system. As a result of experimental measurement, values of coefficients in the Transform Function have a range of uncertainty. Therefore, in QFT every parameter of this function is included into an interval of possible values, and the system may be represented by a family of plants rather than by a standalone expression.
A frequency analysis is performed for a finite number of representative frequencies and a set of ''templates'' are obtained in the NC diagram which encloses the behaviour of the open loop system at each frequency.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Quantitative feedback theory」の詳細全文を読む
スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|