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首页创新预览控制法:一类连续时间系统动态优化设计
创新预览控制法:一类连续时间系统动态优化设计
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更新于2024-08-26
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本文是一篇深入探讨预览控制在一类连续时间系统中的新颖应用的研究论文。作者Fucheng Liao、Yujie Xu 和 Jiang Wu来自北京科技大学数学物理学院以及北京联合大学基础课程教学部,他们共同提出了一个创新的方法来设计此类系统的预览控制器。预览控制的关键在于它能够提前感知系统未来的状态,从而提前调整控制器的输入,确保系统响应的准确性。 传统的跟踪问题通常关注控制器如何实时调整以减小误差信号。然而,这种方法的新颖之处在于,作者通过构造一个增强的误差系统。这个系统不仅包括原来的误差信号,还引入了跟踪误差信号的导数以及控制输入导数的相同方程。这种构造使得原本的跟踪问题被转换成了一个调节问题,其中性能指标不仅考虑了误差本身,还考虑了控制输入的动态变化,这有助于优化控制策略并提高系统响应速度。 论文基于最优控制理论,针对误差增长的系统,设计了一个预补偿控制器。这个控制器的目的是通过对原始系统进行适当的补偿,减小误差并加快闭环系统的响应。与传统的控制策略相比,这种方法的优势在于它能够预见并应对未来可能出现的问题,从而提供更高效、更稳定的系统行为。 为了验证新方法的有效性,文中提供了数值实例,展示了通过预览控制设计的控制器在实际运行中的性能提升。这些实例清楚地表明了新方法在减少系统响应时间、提高控制精度以及改善整体动态性能方面的优越性。 这篇研究论文在预览控制领域做出了重要的贡献,为一类连续时间系统的控制设计提供了一种创新且高效的解决方案,具有广泛的应用前景,特别是在自动化控制、航空航天和工业生产等需要快速响应和精确控制的领域。
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Research Article
Novel Approach to Preview Control for a Class of
Continuous-Time Systems
Fucheng Liao,
1
Yujie Xu,
2
and Jiang Wu
1
1
School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
2
Department of Basic Course Teaching, Beijing Union University, Beijing 100101, China
Correspondence should be addressed to Fucheng Liao; fcliao@ustb.edu.cn
Received 4 July 2014; Accepted 6 January 2015
Academic Editor: Petko Petkov
Copyright © 2015 Fucheng Liao et al. is is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
is paper explicates a new method of designing a preview controller for a class of continuous-time systems. e augmented error
system is constructed by the error system with the derivative of the tracking error signal, the state equation, and an identical equation
of the derivative of the control input, which transforms a tracking problem into a regulation problem. erefore, in the paper, the
performance index contains the derivative of the control input. Based on the theory of optimal control, the regulator problem of the
augmented error system is solved. us, the controller with preview compensation for the original system is deduced. e response
speed of the closed-loop system is accelerated by the previewed demand output. A nal numerical example is given to illustrate the
validity of the proposed method.
1. Introduction
e ability to take the known future demand output or
disturbance signal into consideration to design a controller
with preview compensation is the greatest distinction of the
preview control methods [1–3]. It has been proved that better
output tracking can be obtained and the performance of
the closed-loop system can be improved when the preview
control method is applied; this has been demonstrated in
many laboratory simulations such as electromechanical valve
actuators in [4], networked control systems in [5], and vehicle
active suspension systems in [6]. Recently, preview control
has drawn greater attention [2, 7]. It has been integrated
with other control theories to propose some new conceptions
such as
∞
preview control in [8, 9], FI (full-information)
preview control in [9], and stochastic optimal preview control
in [10, 11].
In the preview control method, the most important thing
is that the known future demand output or disturbance signal
aects the operation of the control system. As a typical
method, the augmented error system plays a vital role in the
design of the controller in discrete-time systems. Since the
relationship between the system and the future signal was
established by the dierence operator, discrete-time systems
have become very popular in many research elds [12, 13].
In continuous-time systems, dierential operation is used
instead of dierence operation. erefore, it is dicult to con-
struct augmented error systems. In [14], reasonable assump-
tions about the known future signals are made. Derivatives
are taken of both the tracking error signal and the state
equation. us, the tracking error signal and the derivative
of the state vector are put together as the state vector of the
augmented error system. In [14], the optimal preview control
problem of continuous-time constant systems is solved. In
this paper, the augmented error system is constructed by
the error system with the derivative of the tracking error
signal, the state equation, and an identical equation of the
derivativeofthecontrolinput.us,theaugmentedstate
vector contains the tracking error signal, the state vector,
and the control input. Based on optimal control theory, the
optimal controller of the augmented error system is derived.
A dierential equation relevant to the control input of the
original system is solved, and an optimal preview controller
is deduced.
ispaperisorganizedasfollows.InSection 2,the
continuous-time system, desired output, performance index,
Hindawi Publishing Corporation
Journal of Control Science and Engineering
Volume 2015, Article ID 745137, 6 pages
http://dx.doi.org/10.1155/2015/745137
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