دانلود مقاله ترجمه شده ABS و کنترل مبتنی برمسطح بودن با متغییر خطی زمان – مجله IEEE

• فهرست مطالب:

چکیده
۱ مقدمه
۲ مطالعات قبلی
الف سیستم های متغییر با زمان خطی SISO
ب بررسی کوتاهی در مورد صافی
۳ کاهش منظم ناظر
۴ موقعیت صحیح ناظر
۵ سیستم ترمز ضد قفل و کابرد آن در خودرو
۶ نتیجه گیری

• بخشی از ترجمه:

در این مقاله با استفاده از ناظر به منظور طراحی سیستم صافی برای ردیابی در سیسنم LTV اقدام نمودیم. این مزیت شامل خطا  است. یک روش با محاسبه برداراست که محتوای خروجی صافی ارائه شده است و مبتنی به قانون کنترل است که می تواند به عنوان کنترل RSD دیده شود. اما بدون معادله بزوت است. این در سیستم خروجی برای مسیر، با استفاده از پویایی ناظر است. قانون کنترل بر روی سیستم ضد قفل اجرای سطح بالاتری از نظر رویایی چرخ را نشان می دهد.

• بخشی از مقاله انگلیسی:

INTRODUCTION In the control theory, the study of linear time-varying (LTV) systems has been important since this situation is encountered not only when some parameters of the system vary with time, but also when the system to be controlled is nonlinear and the problem is approached by linearizing this system around a desired trajectory which leads to an LTV model. For finite-dimensional and time-invariant linear systems, a well-known control design technique is obtained by polynomial two-degrees-of-freedom controllers [5], [11], [20] which were introduced fifty years ago by Horowitz [8]. More details are given in the reference therein and in the following these controllers will be denoted as RST controllers [7]. Whatever the chosen design method, this powerful method is based on pole placement and presents one drawback: it needs to know where to place all the poles of the closed-loop system at the outset. Following [4], by the use of flatness design control principles, the problem of pole placement which consists in imposing closed loop system dynamics can be related to the tracking problem, to design an RST (two-degree-of-freedom) controller with very natural choices of closed loop poles. In this design, a solution of the Bezout equation is obtained depending on the planned trajectories. The RST design controller problem is not easy to transcribe in the case of LTV systems due to the fact that the coefficients do not commute with the time derivative operator. Besides, the structure of the set of the poles of the closed-loop system is more complex. In this case, the pole placement problem was solved recently by Marinescu [1], who proposes some technical methods for factorization of linear time-varying transfert matrices. These key points lead to solve Bezout equation written in the timevarying framework. In order to overcome these two points in LTV framework, namely the choice of desired poles at the outset and the determination of solution for the Bezout equation, we propose in this paper to extend the flatness-based control strategy developed in [4] to the case of time-varying systems. It will be seen that applying the guideline induced by a flatness based control to a LTV system leads to express it in a natural RST form. This control strategy is be compared to the flatness-based control based on the use of a reduced order observer. The paper is organized as follows: in section II, some background notions about SISO LTV systems and flatness-based control strategy are presented. In section III, a reduced order observer for the state vector are presented. In section IV, the polynomial controller design based on exact observer is proposed. The state vector constituted by the flat output and its derivatives and the designed observer is without dynamics. In section V, the proposed strategy is illustrated on the control of an Antilock Brake System (ABS). II. BACKGROUND NOTIONS A. SISO linear time-varying systems For finite-dimensional, several input-output descriptions have been introduced for LTV systems.