Deployment of a predictive-like optimal control law on a servo drive system using linear programming approach

• Autorzy: Horla Dariusz , Pinczewski Piotr
• Języki publikacji: EN

Abstrakty

EN

Current drive control systems tend to push control loops to the limits of their performance. One of the ways of doing so is to use advanced optimization algorithms, usually related to model-based off-line calculations, such as genetic algorithms, the particle swarmoptimisation or the others. There is, however, a simpler way, namely to use predictive control formalism and by formulation of a simple linear programming problem which is easy to solve using powerful solvers, without excessive computational burden, what is a reliable solution, as whenever the optimization problem has a feasible solution, a global minimizer can be efficiently found. This approach has been deployed for a servo drive system operated by a real-time sampled-data controller, verified between model-in-the-loop and hardwarein- the-loop configurations, for a range of prediction horizons, as an attractive alternative to classical quadratic programming-related formulation of predictive control task.

Słowa kluczowe

EN

constraints; linear programming; optimal control; servo drive

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2023
• Tom: Vol. 72, nr 4
• Strony: 1005--1016
• Opis fizyczny: Bibliogr. 13 poz., fig.

Twórcy

autor

Horla Dariusz

• Institute of Robotics and Machine Intelligence Poznan University of Technology Piotrowo 3a Str., 60-965 Poznań, Poland

• https://orcid.org/0000-0002-9456-6704

autor

Pinczewski Piotr

• IT.integro sp. z o.o. Ząbkowicka 12 Str., 60-166 Poznań, Poland

Bibliografia

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• [10] http://www.inteco.com.pl/products/modular-servo/servo/, accessed June 2023.
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).