Un r\'esultat intrigant en commande sans mod\`ele
C\'edric Join, Emmanuel Delaleau, Michel Fliess, Claude H. Moog

TL;DR
This paper demonstrates through mathematical analysis and simulations that intelligent proportional-derivative controllers (iPD) are easier to tune and outperform simple proportional controllers (iP) in model-free control scenarios.
Contribution
It provides a mathematical proof and simulation evidence showing the advantages of iPD over iP controllers in model-free control, challenging current tuning assumptions.
Findings
iPD controllers are easier to tune than iP controllers.
Simulations show iPD outperform classic PIDs.
Mathematical example using Routh-Hurwitz criterion supports the results.
Abstract
An elementary mathematical example proves, thanks to the Routh-Hurwitz criterion, a result that is intriguing with respect to today's practical understanding of model-free control, i.e., an "intelligent" proportional controller (iP) may turn to be more difficult to tune than an intelligent proportional-derivative one (iPD). The vast superiority of iPDs when compared to classic PIDs is shown via computer simulations. The introduction as well as the conclusion analyse model-free control in the light of recent advances.
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Taxonomy
TopicsAdvanced Control Systems Optimization · Adaptive Control of Nonlinear Systems · Control Systems and Identification
