外文翻譯--倒立擺原稿(文件)
【正文】 ion where the control is positive whereas in the other it is negative, the fuzzy controller may be seen as a variable structure controller. This kind of a fuzzy controller can be assimilated to a variable structure controller with boundary layer such as in, for which stability theorems exist, but with a nonlinear switching surface. 模糊控制裝置的實(shí)驗(yàn)的健全的性質(zhì)難以用理論去證明它們的綜合仍然是一個(gè)未解決的問題。一個(gè)級(jí) 數(shù)空間的分割可以在控制器有區(qū)域勸導(dǎo)的常數(shù)參數(shù)中找到。 With the use of trapezoidal input membership functions and appropriate position and inference methods, it will be shown that it is possible to obtain rule membership functions which are regionwise affine functions of the controller input variable. We propose a linear defuzzification algorithm that keeps this regionwise affine structure and yields a piecewise affine controller. A particular and systematic parameter tuning method will be given which allows turning this controller into a variable structurelike controller. We will pare this regionwise affine controller with a Fuzzy and Variable Structure Controller through the application to an inverted pendulum control. 通過梯形輸入隸屬函數(shù)的使用和適當(dāng)?shù)淖鲌D法和推論方法，這將說明那是有可能遵循規(guī)則區(qū)域勸導(dǎo)的輸 入變量仿射函數(shù)的隸屬函數(shù)。 So far, in the application note series, we have provided several examples showing how to create fuzzy controllers with FIDE. However, these examples do not provide topics on implementation of the designed system. In this application note, we use an example of an inverted pendulum to provide details on all aspects of fuzzy logic based system design. 迄今為止，在應(yīng)用筆記系列中，我們已經(jīng)提供了許多展示如何用 FIDE 創(chuàng)造模糊控制裝置的例子。 analyzing control behavior of a twostage inverted pendulum. We will then show how to design a fuzzy controller for the system. We will describe a control curve and how it differs from that of conventional controllers when using a fuzzy controller. Finally, we will discuss how to use this curve to define labels and membership functions for variables, as well as how to create rules for the controller. 我們將從系統(tǒng)設(shè)計(jì)開始；分析二級(jí)倒立擺的控制行為。 In the formulation of any control problem there will typically be discrepancies between the actual plant and the mathematical model developed for controller mismatch may be due to unmodelled dynamics, variation in system parameters or the approximation of plex plant behavior by a straightforward engineer must ensure that the resulting controller has the ability to produce the required performance levels in practice despite such plant/model mismatches. This has led to an intense interest in the development of socalled robust control methods which seek to solve this problem. One particular approach to robust control controller design is the socalled sliding mode control methodology. 在任何控制問題的陳述中，在控制的設(shè)計(jì)發(fā)展中現(xiàn)行的設(shè)備和數(shù)學(xué)模型之間總是有著明顯的差異。堅(jiān)固的操縱控制器設(shè)計(jì)的一 個(gè)特殊的方法就是所謂的滑?？刂品椒?。決策規(guī)則，條件是開關(guān)方程，將輸入估計(jì)成正確的系統(tǒng)特性并且產(chǎn)生一個(gè)輸出精確的反饋控制器使之可以及 時(shí)地被使用。 前蘇聯(lián)在 20 世紀(jì) 50 年代末最先開始利用這些自然的想 法。另外，立即指定性能的能力使得滑?？刂茝脑O(shè)計(jì)觀點(diǎn)看變得有價(jià)值。注意這個(gè)控制規(guī)則并不是必然不連續(xù)的。充分的處理過的設(shè)計(jì)實(shí)例是一個(gè)額外的性質(zhì)的指示。 Development practical problem. The assigned problem of INVERTED PENDULUM is a part of Lab Work of Control System. “倒立擺、分析、設(shè)計(jì)和執(zhí)行 ”是由一個(gè) MATLAB 方程和內(nèi)容的收藏的，還有SIMULINK 模型，對(duì)分析倒立 擺系統(tǒng)和設(shè)計(jì)控制系統(tǒng)是很有用的。帚平衡（車載的倒立擺）是一個(gè)著名的非線形例子， 不穩(wěn)定的控制問題。 Control of Inverted Pendulum is a Control Engineering project based on the FLIGHT SIMULATION OF ROCKET OR MISSILE DURING THE INITIAL STAGES OF FLIGHT. The AIM OF THIS STUDY is to stabilize the Inverted Pendulum such that the position of the carriage on the track is cont
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