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Towards backward compatibility of ADRC: revisiting classical state-feedback control with integral compensator

  • Mikołaj Mrotek
  • , Jacek Michalski
  • , Rafal Madonski
  • , Dariusz Pazderski
  • , Marek Retinger
  • Poznań University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

2 Cytowania z bazy Scopus

Abstrakt

In this paper, the problem of backward compatibility of active disturbance rejection control (ADRC) is investigated. The goal is to contextualize ADRC to deliver its interpretations from the established field of linear control systems. For this study, a control algorithm, denoted here as integral disturbance rejection control (IDRC), is considered that combines classical state-feedback control with an integral compensator. At first, an interpretation of ADRC is involved in terms of existing state-space control approaches. Next, a transition to the frequency domain is performed, which is justified as a significant part of practical control engineering is conducted in that domain. For assumed specific plant structures, both ADRC and IDRC are then holistically compared in terms of transfer function representation and frequency characteristics, as well as steady-state convergence conditions. Such a juxtaposition helps to highlight the similarities and differences of both approaches, whereas the utilized bandwidth parameterization is shown to bring the control system to the same form, thus indicating some interesting practical aspects. Finally, the theoretical results concerning both considered control structures are validated in a set of numerical simulations and experiments conducted on a laboratory hardware testbed.

Język oryginałuangielski
Numer artykułue152608
CzasopismoBulletin of the Polish Academy of Sciences: Technical Sciences
Tom73
Numer wydania2
Identyfikatory DOI
Status publikacjiOpublikowano - 2025

Obszary tematyczne ASJC Scopus

  • Fizyka atomowa i molekularna oraz optyka
  • Systemy informacyjne
  • Inżynieria ogólna
  • Sieci komputerowe i komunikacja
  • Sztuczna inteligencja

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