کنترل پیش‌بین تحمل‌پذیر عیب داده‌محور با قانون تطبیق برخط مبتنی بر تجزیه به مُدهای دینامیکی

نوع مقاله : علمی-پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، دانشکده مهندسی برق و کامپیوتر، دانشگاه صنعتی قم، قم، ایران

2 دانشیار، دانشکده مهندسی برق و کامپیوتر، دانشگاه صنعتی قم، قم، ایران

3 استادیار، دانشکده مهندسی برق ، دانشگاه یزد، یزد، ایران

چکیده

در این مقاله یک روش کنترل داده محور برای سیستم‌های دینامیکی خطی چند ورودی– چند خروجی برای مقابله با عیب ارائه شده است. در این روش کنترل تحمل پذیر عیب، یک عملگر مجازی بر مبنای کنترل پیش‌بین و با استفاده از مدل تطبیقی استخراج شده از مُدهای دینامیکی سیستم، طراحی شده است. این مدل استخراج شده، به صورت بازگشتی به‌روز و به منظور پیش‌بینی حالات سیستم معیوب استفاده شده است. این روش، اثر عیب در پیش‌بینی‌های کنترل‌کننده پیش‌بین درنظر گرفته و توسط کنترل‌کننده کمینه شده است. در این روش نیازی به دانستن معادلات نیست و از آنجایی که در این روش از کنترل‌کننده پیش‌بین برای بهبود عملکرد سیستم‌ در مواجهه با عیب استفاده شده است، توانایی اعمال محدودیت بر روی ورودی‌های کنترلی وجود دارد. همچنین روش ارائه شده در این مقاله بر مبنای عملگر مجازی طراحی شده است و به راحتی می‌تواند به سیستم‌های حلقه بسته به منظور بهبود عملکرد این سیستم‌ها در مواجهه با عیب اضافه شود. در نهایت، عملکرد روش کنترلی ارائه شده در قالب یک مثال شبیه‌سازی مورد بررسی قرار گرفته است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Data-Driven Fault-Tolerant Model Predictive Control with Online Adaptation Based on Dynamic Mode Decomposition

نویسندگان [English]

  • Mohammadhosein Bakhtiaridoust 1
  • Meysam Yadegar 2
  • Mohammad Hadi Rezaei 3
1 Department of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran
2 Department of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran
3 Department of Electrical Engineering, Yazd University, Yazd, Iran
چکیده [English]

This paper introduces a new data-driven control method for handling faults in multi-input multi-output linear systems. In this fault-tolerant control approach, a virtual actuator based on model predictive control is designed, utilizing an adaptive model extracted from the system's dynamic modes. This extracted model is recursively updated and utilized to predict the states of the faulty system. The method considers the effect of faults in predictive controller predictions and minimizes this effect. The proposed method does not require knowledge of system equations and it is fully data-driven. Moreover, since it utilizes predictive controller for improving system performance in the presence of faults, it can impose constraints on control inputs. Furthermore, the method presented in this paper is designed based on a virtual actuator and can easily be augmented to closed-loop systems to enhance their performance in dealing with faults. Finally, the performance of the proposed control method is examined through a simulation example.

کلیدواژه‌ها [English]

  • Fault-tolerant control
  • Dynamic mode decomposition
  • Model predictive control
  • Data-driven control
  • Virtual actuator

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