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  • 标题:Integral control of stable nonlinear systems based on singular perturbations ⁎
  • 本地全文:下载
  • 作者:Pietro Lorenzetti ; George Weiss ; Vivek Natarajan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:6157-6164
  • DOI:10.1016/j.ifacol.2020.12.1698
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractOne of the main issues related to integral control is windup, which occurs when, possibly due to a fault, the input signaluof the plant reaches a value outside the allowed input rangeU.This paper presents an integral controller with anti-windup, called saturating integrator, for a single-input single-output nonlinear plant having a curve of locally exponentially stable equilibrium points that correspond to constant inputs inU.A closed-loop system is formed by connecting the saturating integrator in feedback with the plant. The control objective is to make the output signalyof the plant track a constant reference r, while not allowing its input signaluto leaveU.Using singular perturbation methods, we prove that, under reasonable assumptions, the equilibrium point of the closed-loop system is exponentially stable, with a “large” region of attraction. Moreover, when the state of the closed-loop system converges to this equilibrium point, then the tracking error tends to zero. A step-by-step procedure is presented to perform the closed-loop stability analysis, by finding separately a Lyapunov function for the reduced (slow) model and a Lyapunov function for the boundary-layer (fast) system. Afterwards, a Lyapunov function for the closed-loop system is built as a convex combination of the two previous ones, and an upper bound on the controller gain is found such that closed-loop stability is guaranteed. Finally, we show that if certain stronger conditions hold, then the domain of attraction of the stable equilibrium point of the closed-loop system can be made large by choosing a small controller gain.
  • 关键词:Keywordsnonlinear systemsintegral controlsingular perturbation methodwindupLyapunov methods
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